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Agents and Components - An Experience in Composing Agent Behaviors Jean-Pierre Briot Jean-Pierre.Briot@lip6.fr Laboratoire dInformatique de Paris 6 (LIP6) Universit Paris 6 - CNRS Laboratrio de Engenharia de Software (LES) PUC-Rio


  1. Agents and Components - An Experience in Composing Agent Behaviors Jean-Pierre Briot Jean-Pierre.Briot@lip6.fr Laboratoire d’Informatique de Paris 6 (LIP6) Université Paris 6 - CNRS Laboratório de Engenharia de Software (LES) PUC-Rio Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 1 Jean-Pierre Briot Objectives • Comparing components and agents • Independent approaches... • ...but some common goals for software: – Composable – Adaptable – "Better" • Considering them within the history/evolution of programming • What can agents bring to components? – Semantic coupling vs syntactic coupling – Autonomy – Adaptability • What can components can bring to agents? – Self-containedness – Conformance control – Building blocks Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 2 Jean-Pierre Briot

  2. Outline • Components • Agents and Multi-Agent Systems (MAS) • Evolution of programming • What agents can bring to components? – Autonomy/Evolvability – Assistance to Assemblage » Ex: The COGENTS project • What components can bring to agents? – Self-containedeness – Architectural support – macro-level, ex: role/agent conformance control – micro-level: agent architecture • Component-based agent architectures – Various decomposition rationales (levels, modules, behaviors...) – Ex: behavior decomposition: the MALEVA agent component model • Conclusion Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 3 Jean-Pierre Briot (Software) Components • Software components • • Inspiration from electronics - Integrated Circuits • Objective: composition and reuse of software components • Objective: ease – Replacement – Addition – Removal of – Components – Connectors Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 4 Jean-Pierre Briot

  3. Outline • Components • Agents and Multi-Agent Systems (MAS) • Evolution of programming • What agents can bring to components? – Autonomy/Evolvability – Assistance to Assemblage » Ex: The COGENTS project • What components can bring to agents? – Self-containedeness – Architectural support – macro-level, ex: role/agent conformance control – micro-level: agent architecture • Component-based agent architectures – Various decomposition rationales (levels, modules, behaviors...) – Ex: behavior decomposition: the MALEVA agent component model • Conclusion Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 5 Jean-Pierre Briot Agents and Multi-Agent Systems (MAS) - AI View • Limits of direct control/programming approach – e.g., autonomous space probe, Internet search, – world-level distributed computing • • • Delegation of mission - Initiative • • • Agents: autonomous entities • rational, deliberative... • – • Multi-Agent System: distributed interacting agents – Distributed AI (e.g., RoboCup) VS Traditional AI (e.g., chess) – – • Assistant agent VS single artificial expert (Traditional AI) Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 6 Jean-Pierre Briot

  4. Agents and Multi-Agent Systems (MAS) - Software view • Limits of direct control/programming approach – e.g., autonomous space probe, Internet search, – world-level distributed computing • • Delegation of mission - Initiative • • • Agents: autonomous entities/software components – Reactive or/and proactive (e.g., goal-driven) – – • Knowledge-level coupling vs data-level (typing) coupling • • • Adaptative vs Defensive approach (static verification) • • • Bottom-up (emergent) VS/AND top-down (Architecture Description Languages) design/organization Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 7 Jean-Pierre Briot Multi-Agent Systems (MAS) • Autonomous entities – Reactive or/and proactive (e.g., goal-driven) – • Coordination – Protocols » coordination, negociation, auction..., » e.g., Contract Net Protocol/Call for Proposals – Shared knowledge, » e.g., joint intentions, exchange of plans… » • Organizations – Division of labor (roles) – Inter-agent dependencies Protocol – Collective actions – Regulation (e.g., norms) Role – • Meta-level – Reasoning about and acting upon » Action • Individual • collective » Interaction » Coordination Organisation » Organization – For control, dynamic adaptation… Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 8 Jean-Pierre Briot

  5. Outline • Components • Agents and Multi-Agent Systems (MAS) • Evolution of programming • What agents can bring to components? – Autonomy/Evolvability – Assistance to Assemblage » Ex: The COGENTS project • What components can bring to agents? – Self-containedeness – Architectural support – macro-level, ex: role/agent conformance control – micro-level: agent architecture • Component-based agent architectures – Various decomposition rationales (levels, modules, behaviors...) – Ex: behavior decomposition: the MALEVA agent component model • Conclusion Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 9 Jean-Pierre Briot Evolution of programming Abstraction level Action selection flexibility ("ever late time binding") agent jump procedure method decision (goto) call call Coupling flexibility Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 10 Jean-Pierre Briot

  6. 1st Axis - Action selection "Monolithic" Modular Object-oriented Agent-oriented programming programming programming programming e.g., Fortran e.g., Pascal e.g., Java e.g., AgentSpeak Non modular modular modular modular Behavior external external internal internal State agent decision procedure call method call jump (goto) Invocation (ex: goal-driven) (and action selection) external external external internal Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 11 Jean-Pierre Briot Evolution of programming Abstraction level Action selection flexibility ("ever late time binding") Fortran agent jump procedure method decision (goto) call call modules objects actors components agents Coupling flexibility Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 12 Jean-Pierre Briot

  7. 2nd Axis - Coupling flexibility objects components agents implicit, external implicit, internal explicit, external structure (indexed by (object references) (connectors) organizational roles) procedure call unidirectional communication (bidirectional, return (events) or protocol value) bidirectional synchronous or synchronization synchronous protocol asynchronous Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 13 Jean-Pierre Briot Evolution of programming Abstraction level agents, intentions, plans models, ontologies objects, messages data structures Action selection flexibility bits ("ever late time binding") Fortran agent jump procedure method decision (goto) call call modules objects actors components agents Coupling flexibility Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 14 Jean-Pierre Briot

  8. 3rd Axis - Abstraction level • Agents, not purely data/procedural • knowledge (beliefs, goals...) • Semantic/Knowledge-level coupling rather than data-type-level coupling • • Communication (e.g., FIPA ACL vs OMG CORBA) • content language (e.g., KIF, FIPA SL) • performative (intention of communication, e.g., inform, recruit) • ontology • protocol Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 15 Jean-Pierre Briot Outline • Components • Agents and Multi-Agent Systems (MAS) • Evolution of programming • What agents can bring to components? – Autonomy/Evolvability – Assistance to Assemblage » Ex: The COGENTS project • What components can bring to agents? – Self-containedeness – Architectural support – macro-level, ex: role/agent conformance control – micro-level: agent architecture • Component-based agent architectures – Various decomposition rationales (levels, modules, behaviors...) – Ex: behavior decomposition: the MALEVA agent component model • Conclusion Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 16 Jean-Pierre Briot

  9. What agents could bring to components ? • More flexibility for assembling (match-making) • • Mechanisms (reorganization) for dynamic reconfiguration • • More “intelligent” behavior (intelligent/adaptive cooperative components) Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 17 Jean-Pierre Briot Example: components match-making Petrochemical process engineering (design, simulation, control ) Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 18 Jean-Pierre Briot

  10. Initial step: Interoperability: CAPE-OPEN Project [Braunschweig et al. 02] • Componentification of Process units • Interoperability • Interfaces standards • OTS Components Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 19 Jean-Pierre Briot Second step: Assistance to Assemblage: COGENTS Project [Braunschweig et al. 04] E.g., LARKS matchmaking [Sycara et al. 98] • Match-making • Assistance for assemblage • Instantiation (actual Software products) Seminário de pesquisa LES/DI/PUC-Rio 25/11/05 20 Jean-Pierre Briot

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