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CS344M Autonomous Multiagent Systems Todd Hester Department or - PowerPoint PPT Presentation

CS344M Autonomous Multiagent Systems Todd Hester Department or Computer Science The University of Texas at Austin Good Afternoon, Colleagues Todd Hester Good Afternoon, Colleagues Are there any questions? Todd Hester Logistics Office


  1. CS344M Autonomous Multiagent Systems Todd Hester Department or Computer Science The University of Texas at Austin

  2. Good Afternoon, Colleagues Todd Hester

  3. Good Afternoon, Colleagues Are there any questions? Todd Hester

  4. Logistics • Office hours Todd Hester

  5. Logistics • Office hours • Reading responses Todd Hester

  6. Logistics • Office hours • Reading responses • Resources page Todd Hester

  7. Logistics • Office hours • Reading responses • Resources page • Programming assignment − How’s it going? Todd Hester

  8. Logistics • Office hours • Reading responses • Resources page • Programming assignment − How’s it going? − Important: 3D code is only for this class Todd Hester

  9. Logistics • Office hours • Reading responses • Resources page • Programming assignment − How’s it going? − Important: 3D code is only for this class • Talks in the department: Todd Hester

  10. Logistics • Office hours • Reading responses • Resources page • Programming assignment − How’s it going? − Important: 3D code is only for this class • Talks in the department: − Jeff Clune, Friday at 11am (2.402) − Cornell University − “Automatically generating regular, modular neural networks with computational abstractions of evolution and developmental biology” Todd Hester

  11. Logistics • Next week’s readings up − Multiagent Systems – an overview − Another overview (optional) − Pushing Brooks’ approach to MAS Todd Hester

  12. Logistics • Next week’s readings up − Multiagent Systems – an overview − Another overview (optional) − Pushing Brooks’ approach to MAS − Our RoboCup team paper Todd Hester

  13. Logistics • Next week’s readings up − Multiagent Systems – an overview − Another overview (optional) − Pushing Brooks’ approach to MAS − Our RoboCup team paper − Free-form response Todd Hester

  14. Logistics • Next week’s readings up − Multiagent Systems – an overview − Another overview (optional) − Pushing Brooks’ approach to MAS − Our RoboCup team paper − Free-form response Todd Hester

  15. Writing Assessment • What did you think of these readings? • What was good about them? • How could they have improved? Todd Hester

  16. Writing • Direct, articulate responses − Thesis sentence − Supporting argument − Demonstrate that you know what you’re saying Todd Hester

  17. Writing • Direct, articulate responses − Thesis sentence − Supporting argument − Demonstrate that you know what you’re saying One way that TCA departs from Rodney Brooks’ design principles is that TCA employs a central control module. TCA’s central component routes messages to the various connected modules and maintains control information. Brooks’ designs, on the other hand, connected perception directly to actions, bypassing any form of central control and also any central representation of the world. Todd Hester

  18. Reactive vs. deliberative (3 senses) − Respond in a timely fashion − No complex respresentation − No state at all (respond to current percepts) Todd Hester

  19. Reactive vs. deliberative (3 senses) − Respond in a timely fashion − No complex respresentation − No state at all (respond to current percepts) From the book: • action : P �→ A • Decision based entirely on the present Todd Hester

  20. Reactive vs. deliberative (3 senses) − Respond in a timely fashion − No complex respresentation − No state at all (respond to current percepts) From the book: • action : P �→ A • Decision based entirely on the present − True of Brooks’ “reactive” agents? Todd Hester

  21. Brooks’ Goals Todd Hester

  22. Brooks’ Goals • Autonomous mobile agents that are seen as intelligent • No interest in applications • Timely, robust, do something Todd Hester

  23. Brooks’ Goals • Autonomous mobile agents that are seen as intelligent • No interest in applications • Timely, robust, do something • How differ from 3T goals? Todd Hester

  24. Brooks’ Goals • Autonomous mobile agents that are seen as intelligent • No interest in applications • Timely, robust, do something • How differ from 3T goals? − What are their stances towards modeling biology? − Which is more biologically plausible? Todd Hester

  25. Brooks’ Goals • Autonomous mobile agents that are seen as intelligent • No interest in applications • Timely, robust, do something • How differ from 3T goals? − What are their stances towards modeling biology? − Which is more biologically plausible? Subsumption Architecture Todd Hester

  26. Brooks’ Goals • Autonomous mobile agents that are seen as intelligent • No interest in applications • Timely, robust, do something • How differ from 3T goals? − What are their stances towards modeling biology? − Which is more biologically plausible? Subsumption Architecture (journal article, page 2) Todd Hester

  27. Merkwelt Todd Hester

  28. Merkwelt • Merkwelt ∼ “perceptual world” • Every agent has its own Merkwelt . Todd Hester

  29. Merkwelt • Merkwelt ∼ “perceptual world” • Every agent has its own Merkwelt . • Why should robots use a representation based on our Merkwelt ? • Do we know our own Merkwelt ? Todd Hester

  30. Modules “When researchers working on a particular module get to choose both the inputs and the outputs that specify the module requirements I believe there is little chance the work they do will fit into a complete intelligent system.” Does this apply to 3T? Todd Hester

  31. Could the 3T apps have used subsumption? • Why or why not? Todd Hester

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