cm30174 cm50206 intelligent agents
play

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget - PowerPoint PPT Presentation

Apr 03, 2024 •297 likes •1.9k views

Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Communication and Ontologies / version 0.3 October 18,

  1. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 1/5 Most treatments of communication in (multi-)agent systems take inspiration from speech act theory. Speech act theories are pragmatic theories of language, i.e., theories of language use: they attempt to account for how language is used by people every day to achieve their goals and intentions. The origin of speech act theories are usually traced to Austin’s 1962 book, How to Do Things with Words. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 6 / 56

  2. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 2/5 Austin noticed that some utterances are rather like ‘physical actions’ that appear to change the state of the world. Paradigm examples would be: declaring war baptism ‘I now pronounce you man and wife’ In fact, everything is said with the intention of satisfying some goal or intention. Speech Act theory attempts to explain how utterances may achieve intentions. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 7 / 56

  3. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 2/5 Austin noticed that some utterances are rather like ‘physical actions’ that appear to change the state of the world. Paradigm examples would be: declaring war baptism ‘I now pronounce you man and wife’ In fact, everything is said with the intention of satisfying some goal or intention. Speech Act theory attempts to explain how utterances may achieve intentions. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 7 / 56

  4. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 2/5 Austin noticed that some utterances are rather like ‘physical actions’ that appear to change the state of the world. Paradigm examples would be: declaring war baptism ‘I now pronounce you man and wife’ In fact, everything is said with the intention of satisfying some goal or intention. Speech Act theory attempts to explain how utterances may achieve intentions. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 7 / 56

  5. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  6. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  7. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  8. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  9. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  10. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  11. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  12. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  13. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 3/5 Searle (1969) identified various different types of speech act: representatives: such as informing, e.g., ‘It is raining’ directives: attempts to get the hearer to do something e.g., ‘please make the tea’ commisives: which commit the speaker to doing something, e.g., ‘I promise to... ’ expressives: whereby a speaker expresses a mental state, e.g., ‘thank you!’ declarations: such as declaring war or baptism. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 8 / 56

  14. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 4/5 There is some debate about whether this (or any!) typology of speech acts is appropriate. In general, a speech act can be seen to have two components: a performative verb: (e.g., request, inform, . . . ) propositional content: (e.g., “the door is closed”) constructed from a (formal) language, defining syntactic structures an ontology, defining the concepts These are the key observations as far as agent communication is concerned. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 9 / 56

  15. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 5/5 Consider: performative = request content = “the door is closed” speech act = “please close the door” performative = inform content = “the door is closed” speech act = “the door is closed!” performative = inquire content = “the door is closed” speech act = “is the door closed?” to see how the same content combined with different performatives takes on different meanings. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 10 / 56

  16. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 5/5 Consider: performative = request content = “the door is closed” speech act = “please close the door” performative = inform content = “the door is closed” speech act = “the door is closed!” performative = inquire content = “the door is closed” speech act = “is the door closed?” to see how the same content combined with different performatives takes on different meanings. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 10 / 56

  17. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Speech Acts 5/5 Consider: performative = request content = “the door is closed” speech act = “please close the door” performative = inform content = “the door is closed” speech act = “the door is closed!” performative = inquire content = “the door is closed” speech act = “is the door closed?” to see how the same content combined with different performatives takes on different meanings. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 10 / 56

  18. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Plan-Based Semantics Cohen & Perrault (1979) defined semantics of speech acts using the precondition/delete/add list formalism of planning research. Example: request ( s , h , φ ) preconditions s believes h can do φ you don’t ask someone to do something unless you think they can do it s believes h believes h can do φ you don’t ask someone unless they believe they can do it s believes s wants φ you don’t ask someone unless you want it! postconditions: h believes s believes s want φ the effect is to make them aware of your desire De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 11 / 56

  19. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Plan-Based Semantics Cohen & Perrault (1979) defined semantics of speech acts using the precondition/delete/add list formalism of planning research. Example: request ( s , h , φ ) preconditions s believes h can do φ you don’t ask someone to do something unless you think they can do it s believes h believes h can do φ you don’t ask someone unless they believe they can do it s believes s wants φ you don’t ask someone unless you want it! postconditions: h believes s believes s want φ the effect is to make them aware of your desire De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 11 / 56

  20. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) BDI connection Speech acts can be delivered as percepts — introduction to agent architectures AGENT see action next state sense act ENVIRONMENT Likewise percepts for practical reasoning agents (BDI) BDI agents are plan-driven — thus realizing Cohen-Perrault model De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 12 / 56

  21. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) BDI connection Speech acts can be delivered as percepts — introduction to agent architectures AGENT see action next state sense act ENVIRONMENT Likewise percepts for practical reasoning agents (BDI) BDI agents are plan-driven — thus realizing Cohen-Perrault model De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 12 / 56

  22. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) BDI connection Speech acts can be delivered as percepts — introduction to agent architectures AGENT see action next state sense act ENVIRONMENT Likewise percepts for practical reasoning agents (BDI) BDI agents are plan-driven — thus realizing Cohen-Perrault model De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 12 / 56

  23. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Content Agent Communication 1 Agent Communication Languages 2 Ontology Engineering (Noy) 3 Semantic Web (Payne/Tamma/van Harmelen) 4 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 13 / 56

  24. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  25. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  26. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  27. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  28. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  29. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) KQML and KIF ACLs: standard formats for the exchange of messages. ARPA knowledge sharing initiative (1990-1994) KQML: knowledge query and manipulation language ‘outer’ language, that defines ‘communicative verbs’, or performatives. Example performatives are: ask-if (‘is it true that... ’) perform (‘please perform the following action... ’) tell (‘it is true that... ’) reply (‘the answer is ... ’) KIF: knowledge interchange format ‘inner’ language for expressing message content. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 14 / 56

  30. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) FIPA ACL FIPA: second generation, simpler (1998-2002) FIPA’s agent communication language is probably the most widely used now. Basic structure is quite similar to KQML: performative: 20 performatives in FIPA. inform and request are the two basic performatives: the rest are macros housekeeping: e.g., sender, receiver etc. content: the actual content of the message. Example: (inform 1 :sender agent1 2 :receiver agent5 3 :content (price good200 150) 4 :language sl 5 :ontology hpl-auction 6 ) 7 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 15 / 56

  31. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) FIPA ACL FIPA: second generation, simpler (1998-2002) FIPA’s agent communication language is probably the most widely used now. Basic structure is quite similar to KQML: performative: 20 performatives in FIPA. inform and request are the two basic performatives: the rest are macros housekeeping: e.g., sender, receiver etc. content: the actual content of the message. Example: (inform 1 :sender agent1 2 :receiver agent5 3 :content (price good200 150) 4 :language sl 5 :ontology hpl-auction 6 ) 7 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 15 / 56

  32. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) FIPA ACL FIPA: second generation, simpler (1998-2002) FIPA’s agent communication language is probably the most widely used now. Basic structure is quite similar to KQML: performative: 20 performatives in FIPA. inform and request are the two basic performatives: the rest are macros housekeeping: e.g., sender, receiver etc. content: the actual content of the message. Example: (inform 1 :sender agent1 2 :receiver agent5 3 :content (price good200 150) 4 :language sl 5 :ontology hpl-auction 6 ) 7 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 15 / 56

  33. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) FIPA ACL FIPA: second generation, simpler (1998-2002) FIPA’s agent communication language is probably the most widely used now. Basic structure is quite similar to KQML: performative: 20 performatives in FIPA. inform and request are the two basic performatives: the rest are macros housekeeping: e.g., sender, receiver etc. content: the actual content of the message. Example: (inform 1 :sender agent1 2 :receiver agent5 3 :content (price good200 150) 4 :language sl 5 :ontology hpl-auction 6 ) 7 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 15 / 56

  34. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) The FIPA Performatives performative passing requesting negotiation performing error information information actions handling accept-proposal x agree x cancel x x cfp x confirm x disconfirm x failure x inform x inform-if x inform-ref x not-understood x propose x query-if x query-ref x refuse x reject-proposal x request x request-when x request-whenever x subscribe x De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 16 / 56

  35. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Inform and Request Semantics Semantics defined in two parts: pre-condition: what must be true for the speech act to succeed. c.f. Cohen and Perrault. “rational effect” what the sender of the message hopes to bring about. “inform”: content is a statement, and sender: Holds that the content is true Intends that the recipient believe the content Does not already believe that the recipient is aware of whether content is true or not. “request”: content is an action, and sender: Intends action content to be performed Believes recipient is capable of performing this action Does not believe that recipient already intends to perform action. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 17 / 56

  36. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Inform and Request Semantics Semantics defined in two parts: pre-condition: what must be true for the speech act to succeed. c.f. Cohen and Perrault. “rational effect” what the sender of the message hopes to bring about. “inform”: content is a statement, and sender: Holds that the content is true Intends that the recipient believe the content Does not already believe that the recipient is aware of whether content is true or not. “request”: content is an action, and sender: Intends action content to be performed Believes recipient is capable of performing this action Does not believe that recipient already intends to perform action. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 17 / 56

  37. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Inform and Request Semantics Semantics defined in two parts: pre-condition: what must be true for the speech act to succeed. c.f. Cohen and Perrault. “rational effect” what the sender of the message hopes to bring about. “inform”: content is a statement, and sender: Holds that the content is true Intends that the recipient believe the content Does not already believe that the recipient is aware of whether content is true or not. “request”: content is an action, and sender: Intends action content to be performed Believes recipient is capable of performing this action Does not believe that recipient already intends to perform action. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 17 / 56

  38. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Representing Messages Agents use a combination of agent communication language—defines message structure performative, e.g. inform , request (FIPA, KQML) content language—e.g. first order logic + concepts (ontology) Why this structure? Sender and receiver have been designed and built at different times by different people—yet they have to interoperate Sender and receiver must be protected from each other Communications may have to be verifiable by third-parties De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 18 / 56

  39. Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) Representing Messages Agents use a combination of agent communication language—defines message structure performative, e.g. inform , request (FIPA, KQML) content language—e.g. first order logic + concepts (ontology) Why this structure? Sender and receiver have been designed and built at different times by different people—yet they have to interoperate Sender and receiver must be protected from each other Communications may have to be verifiable by third-parties De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 18 / 56

  40. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Content Agent Communication 1 Agent Communication Languages 2 Ontology Engineering (Noy) 3 The Ontology Engineering cycle Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) 4 De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 19 / 56

  41. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Need for Ontologies In order to be able to communicate, agents must have agreed a common set of terms. An ontology is a formal specification of a set of terms. Gr¨ uber (1993): “Formal, explicit specifications of a shared conceptualisation” De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 20 / 56

  42. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Need for Ontologies In order to be able to communicate, agents must have agreed a common set of terms. An ontology is a formal specification of a set of terms. Gr¨ uber (1993): “Formal, explicit specifications of a shared conceptualisation” De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 20 / 56

  43. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  44. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  45. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  46. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  47. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  48. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What is an ontology? Depends on subject and use, but common features are: A formal description of (the relevant parts) of a domain: “the nature of things, and the relationships between them” A set of classes (concepts) and their hierarchical relations A set of properties (slots or roles), defining arbitrary relations The same property may be ascribed to several independent classes Constraints — restrictions on properties (type, number) Individuals — some concrete instances of classes De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 21 / 56

  49. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Example ontology Wordnet is a live domain-neutral ontology: http://wordnetweb.princeton.edu/perl/webwn Words are nodes in a network of relationships, for example: hyponym: more specialized concepts meronym: parts of this concept hypernym: generalized concept holonym: part of something larger etc. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 22 / 56

  50. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Example ontology Wordnet is a live domain-neutral ontology: http://wordnetweb.princeton.edu/perl/webwn Words are nodes in a network of relationships, for example: hyponym: more specialized concepts meronym: parts of this concept hypernym: generalized concept holonym: part of something larger etc. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 22 / 56

  51. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Kinds of ontology Degrees of formality: Controlled vocabularies Glossaries Thesauri Informal Is-a hierarchy Formal Is-a hierarchy Formal instances Frames Value restriction General logic constraints De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 23 / 56

  52. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What Is “Ontology Engineering”? Ontology Engineering: Defining terms in the domain and relations among them Defining concepts in the domain (classes) Arranging the concepts in a hierarchy (subclass-superclass hierarchy) Defining which attributes and properties (slots) classes can have and constraints on their values Defining individuals and filling in slot values De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 24 / 56

  53. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What Is “Ontology Engineering”? Ontology Engineering: Defining terms in the domain and relations among them Defining concepts in the domain (classes) Arranging the concepts in a hierarchy (subclass-superclass hierarchy) Defining which attributes and properties (slots) classes can have and constraints on their values Defining individuals and filling in slot values De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 24 / 56

  54. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What Is “Ontology Engineering”? Ontology Engineering: Defining terms in the domain and relations among them Defining concepts in the domain (classes) Arranging the concepts in a hierarchy (subclass-superclass hierarchy) Defining which attributes and properties (slots) classes can have and constraints on their values Defining individuals and filling in slot values De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 24 / 56

  55. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) What Is “Ontology Engineering”? Ontology Engineering: Defining terms in the domain and relations among them Defining concepts in the domain (classes) Arranging the concepts in a hierarchy (subclass-superclass hierarchy) Defining which attributes and properties (slots) classes can have and constraints on their values Defining individuals and filling in slot values De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 24 / 56

  56. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  57. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  58. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  59. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  60. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  61. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  62. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Why use an ontology? To share common understanding of the structure of information among people or software agents To enable reuse of domain knowledge To make domain assumptions explicit To separate domain knowledge from the operational knowledge To analyze domain knowledge (through ontology construction) However: Ontologies do not usually succeed in being application independent and often require adaptation for use in a new application. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 25 / 56

  63. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology-Development Process Ideally: determine scope consider reuse enumerate terms define classes define properties define constraints create instances In reality — an iterative process with feedback between succeeding phases. De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 26 / 56

  64. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  65. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  66. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  67. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  68. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  69. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Ontology Engineering versus Object-Oriented Modelling An ontology: An OO class structure: Reflects the structure of Reflects the structure of the world the data and code Is often about structure of Is usually about behaviour concepts (methods) Actual physical Describes the physical representation is not an representation of data issue (long int, char, etc.) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 27 / 56

  70. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  71. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  72. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  73. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  74. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  75. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  76. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Consider Reuse Why reuse other ontologies? To save the effort To interact with the tools that use other ontologies To use ontologies that have been validated What to re-use? Upper ontologies IEEE Standard Upper Ontology ( suo.ieee.org ) Cyc ( www.cyc.com ) General ontologies DMOZ ( www.dmoz.org ) WordNet ( www.cogsci.princeton.edu/˜wn/ ) Taxonomies (special kind of ontology) Yahoo categories GAMS: Guide to Available Mathematics De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 28 / 56

  77. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Define Classes and the Class Hierarchy A class is a concept in the domain A class of cheese A class of cheese producers A class of blue cheeses A class is a collection of elements with similar properties Instances of classes Casheil (Irish blue cheese) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 29 / 56

  78. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Define Classes and the Class Hierarchy A class is a concept in the domain A class of cheese A class of cheese producers A class of blue cheeses A class is a collection of elements with similar properties Instances of classes Casheil (Irish blue cheese) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 29 / 56

  79. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Define Classes and the Class Hierarchy A class is a concept in the domain A class of cheese A class of cheese producers A class of blue cheeses A class is a collection of elements with similar properties Instances of classes Casheil (Irish blue cheese) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 29 / 56

  80. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Defining Slots and Properties Slots in a class definition describe attributes of instances of the class and relations to other instances Each wine has colour, sugar content, producer, etc. Types of properties: intrinsic properties: aroma and colour of cheese extrinsic properties: name and price of cheese parts: ingredients of a particular cheese objects: producer of cheese Simple and complex properties: simple properties (attributes): contain primitive values (strings, numbers) complex properties: contain (or point to) other objects (e.g., a manufacturer) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 30 / 56

  81. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Defining Slots and Properties Slots in a class definition describe attributes of instances of the class and relations to other instances Each wine has colour, sugar content, producer, etc. Types of properties: intrinsic properties: aroma and colour of cheese extrinsic properties: name and price of cheese parts: ingredients of a particular cheese objects: producer of cheese Simple and complex properties: simple properties (attributes): contain primitive values (strings, numbers) complex properties: contain (or point to) other objects (e.g., a manufacturer) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 30 / 56

  82. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Defining Slots and Properties Slots in a class definition describe attributes of instances of the class and relations to other instances Each wine has colour, sugar content, producer, etc. Types of properties: intrinsic properties: aroma and colour of cheese extrinsic properties: name and price of cheese parts: ingredients of a particular cheese objects: producer of cheese Simple and complex properties: simple properties (attributes): contain primitive values (strings, numbers) complex properties: contain (or point to) other objects (e.g., a manufacturer) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 30 / 56

  83. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Defining Slots and Properties Slots in a class definition describe attributes of instances of the class and relations to other instances Each wine has colour, sugar content, producer, etc. Types of properties: intrinsic properties: aroma and colour of cheese extrinsic properties: name and price of cheese parts: ingredients of a particular cheese objects: producer of cheese Simple and complex properties: simple properties (attributes): contain primitive values (strings, numbers) complex properties: contain (or point to) other objects (e.g., a manufacturer) De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 30 / 56

  84. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Slot and Class Inheritance A subclass inherits all the slots from the superclass If a cheese has a name and characteristic, a blue cheese also has a name and characteristic If a class has multiple superclasses, it inherits slots from all of them Roquefort is both a sheep cheese and a blue cheese. It inherits “milk source: sheep” from the former and “culture: penicillium” from the latter Domain of a slot: the class (or classes) of instances that can have the slot Range of a slot: the class (or classes) to which slot values belong De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 31 / 56

  85. Agent Communication Agent Communication Languages The Ontology Engineering cycle Ontology Engineering (Noy) Pizza exercise Semantic Web (Payne/Tamma/van Harmelen) Slot and Class Inheritance A subclass inherits all the slots from the superclass If a cheese has a name and characteristic, a blue cheese also has a name and characteristic If a class has multiple superclasses, it inherits slots from all of them Roquefort is both a sheep cheese and a blue cheese. It inherits “milk source: sheep” from the former and “culture: penicillium” from the latter Domain of a slot: the class (or classes) of instances that can have the slot Range of a slot: the class (or classes) to which slot values belong De Vos/Padget (Bath/CS) CM30174/Communication October 18, 2011 31 / 56

Download Presentation
Download Policy: The content available on the website is offered to you 'AS IS' for your personal information and use only. It cannot be commercialized, licensed, or distributed on other websites without prior consent from the author. To download a presentation, simply click this link. If you encounter any difficulties during the download process, it's possible that the publisher has removed the file from their server.

Recommend

CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction /

CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction /

Applications of Agents Agent characteristics Agent architecture Summary CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction / version 0.4 October 3, 2011 De Vos/Padget (Bath/CS) CM30174/Intro

685 views • 45 slides
CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction /

CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction /

Applications of Agents Agent characteristics Agent architecture Summary CM30174 + CM50206 Introduction to Intelligent Agents Marina De Vos, Julian Padget Introduction / version 0.4 October 3, 2011 De Vos/Padget (Bath/CS) CM30174/Intro

1.49k views • 136 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

Agents or Equations? Case studies Tools CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971 Agent-Based Modelling / version 0.4 November 29, 2011 De Vos/Padget (Bath/CS) CM30174/ABM November 29,

1.04k views • 58 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

Organisation Assessment Content CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971 Outline / version 0.4 October 3, 2011 De Vos/Padget (Bath/CS) CM30174/CM50206 October 3, 2011 1 / 6

855 views • 50 slides
CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2008-09 Marina De Vos, Julian

CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2008-09 Marina De Vos, Julian

Introduction Basic Constructs Specification Model Computational Tools Dutch Auction CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2008-09 Marina De Vos, Julian Padget Modelling Institutions / 20081205 / version 0.4

583 views • 17 slides
CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian

CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian

Introduction Basic Constructs Specification Model Computational Tools CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian Padget Modelling Institutions / 20101102 / version 0.5 November 29, 2010

537 views • 14 slides
CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2009-10 Marina De Vos, Julian

CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2009-10 Marina De Vos, Julian

Applications of Agents Agent characteristics Agent architecture Summary CM30174 + CM50206 Introduction to Intelligent Agents Semester 1, 2009-10 Marina De Vos, Julian Padget Introduction / version 0.4 October 5, 2010 De Vos/Padget

465 views • 15 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Communication and Ontologies /

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Communication and Ontologies /

Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Communication and Ontologies / version 0.3 October 18,

741 views • 50 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Negotiation / version 0.4

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Negotiation / version 0.4

Overview Auctions Negotiation: strategies and protocols Summary CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget Negotiation / version 0.4 November 1, 2011 De Vos/Padget (Bath/CS) CM30174/Negotiation November 1, 2011 1 /

704 views • 46 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

Overview Context Trust Reputation CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971 Reputation November 8, 2011 De Vos/Padget (Bath/CS) CM30174/CM50206 November 8, 2011 1 / 45 Overview

648 views • 45 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

The case for institutions Agents and Institutions Real-world examples Case Studies CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971 Institutions and Norms / version 0.4 November 22, 2011 De

1.41k views • 113 slides
CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971

The case for institutions Agents and Institutions Real-world examples Case Studies CM30174 + CM50206 Intelligent Agents Marina De Vos, Julian Padget East building: x5053, x6971 Institutions and Norms / version 0.4 November 22, 2011 De

480 views • 46 slides
CM30174 - CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian

CM30174 - CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian

What is Game Theory Strategic Games Repeated Games Extensive Games with Perfect Information CM30174 - CM50206 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian Padget Game Theory / 20101025 / version 0.6 October

259 views • 14 slides
CM30174 + CM50206 Agents and Electronic Commerce Marina De Vos, Julian Padget Communication and

CM30174 + CM50206 Agents and Electronic Commerce Marina De Vos, Julian Padget Communication and

Agent Communication Agent Communication Languages Ontology Engineering (Noy) Semantic Web (Payne/Tamma/van Harmelen) CM30174 + CM50206 Agents and Electronic Commerce Marina De Vos, Julian Padget Communication and Ontologies / version 0.3

320 views • 19 slides
CM30174: Intelligent Agents Marina De Vos, Julian Padget Coalitions / version 0.3 November 9,

CM30174: Intelligent Agents Marina De Vos, Julian Padget Coalitions / version 0.3 November 9,

Context for coalitions Formalizing coalition formation Alternative approaches Summary CM30174: Intelligent Agents Marina De Vos, Julian Padget Coalitions / version 0.3 November 9, 2010 De Vos/Padget (Bath/CS) CM30174/Coalitions November 9,

915 views • 44 slides
CM30174 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian Padget

CM30174 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian Padget

Introduction to Reasoning Agent Architectures Deductive Reasoning Agents Practical Reasoning Agents CM30174 Introduction to Intelligent Agents Semester 1, 2010-11 Marina De Vos, Julian Padget Reasoning Agents / 20101011 / version 0.5

408 views • 28 slides
Application of mid-infrared spectroscopy to enhance bovine milk technological traits in dairy

Application of mid-infrared spectroscopy to enhance bovine milk technological traits in dairy

Application of mid-infrared spectroscopy to enhance bovine milk technological traits in dairy industry Massimo DE MARCHI, Martino CASSANDRO, Mauro PENASA Summary 1. Why mid-infrared spectroscopy (MIRS)? 2. What are milk

1.12k views • 34 slides
To support Bath and North East Somerset Council employees BATH & NORTH EAST SOMERSET SPORTS

To support Bath and North East Somerset Council employees BATH & NORTH EAST SOMERSET SPORTS

To support Bath and North East Somerset Council employees BATH & NORTH EAST SOMERSET SPORTS AND SOCIAL CLUB AGM AGENDA 1. Apologies 2. Minutes from the previous AGM 3. Chairs presentation 4. Treasurers report 5. Report from the

348 views • 16 slides
Wisconsin Task Force on Climate Change Electric Vehicles Driving Wisconsin Forward March 10,

Wisconsin Task Force on Climate Change Electric Vehicles Driving Wisconsin Forward March 10,

Wisconsin Task Force on Climate Change Electric Vehicles Driving Wisconsin Forward March 10, 2020 Lorri rrie L Lisek, E , Executive D Dire rector or Department of Energy Transportation Focus Economic Growth National Security

305 views • 18 slides
Manufacturing of Polymeric Nanomaterials for Biomedical applications Yvon Durant Advanced

Manufacturing of Polymeric Nanomaterials for Biomedical applications Yvon Durant Advanced

Manufacturing of Polymeric Nanomaterials for Biomedical applications Yvon Durant Advanced Polymer Laboratory Nanostructured Polymer Research Center Presented at the International Congress of Nanotechnology- October 31-November 3, 2005 San

571 views • 46 slides
high temperature heat pumps in the UK Food and Drink sector Samuel J G Cooper a * , Geoffrey P

high temperature heat pumps in the UK Food and Drink sector Samuel J G Cooper a * , Geoffrey P

2 nd International Conference on Sustainable Energy and Resource Use in Food Chains Energy saving potential of high temperature heat pumps in the UK Food and Drink sector Samuel J G Cooper a * , Geoffrey P Hammond a , Neil Hewitt b , Jonathan B

129 views • 9 slides
Lead Abatement for Workers Course 1 Learning Objectives In this section you will learn:

Lead Abatement for Workers Course 1 Learning Objectives In this section you will learn:

Chapter 1 Lead Abatement for Workers Course 1 Learning Objectives In this section you will learn: What lead is Why lead was used Where lead is found today How you can be exposed to lead About the lead paint problem in the

1.07k views • 103 slides
Dr. Angela Vaughan The purpose of these activities is to help students: Experience the

Dr. Angela Vaughan The purpose of these activities is to help students: Experience the

Dr. Angela Vaughan The purpose of these activities is to help students: Experience the power of visual imagery to process information. Think critically and creatively and to use collaborative problem solving. Memory Palace

405 views • 23 slides
VALORIZATION OF THE LIQUID FRACTION OF A MIXTURE OF LIVESTOCK WASTE AND CHEESE WHEY FOR BIOGAS

VALORIZATION OF THE LIQUID FRACTION OF A MIXTURE OF LIVESTOCK WASTE AND CHEESE WHEY FOR BIOGAS

VALORIZATION OF THE LIQUID FRACTION OF A MIXTURE OF LIVESTOCK WASTE AND CHEESE WHEY FOR BIOGAS PRODUCTION THROUGH HIGH RATE ANAEROBIC CO DIGESTION AND FOR ELECTRICITY PRODUCTION IN A MICROBIAL FUEL CELL (MFC) I. MICHALOPOULOS, D.

310 views • 28 slides

More recommend