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Model Integrated Computing and Autonomous Negotiating Teams for Autonomic Logistics

Model Integrated Computing and Autonomous Negotiating Teams for Autonomic Logistics. G.Karsai (ISIS) J. Doyle (MIT) G. Bloor (Boeing). Roadmap. Project domain and goals Architecture concept Technology reviews: Java, agent frameworks Illustrative demo for framework capabilities

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Model Integrated Computing and Autonomous Negotiating Teams for Autonomic Logistics

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  1. Model Integrated ComputingandAutonomous Negotiating TeamsforAutonomic Logistics G.Karsai (ISIS) J. Doyle (MIT) G. Bloor (Boeing)

  2. Roadmap • Project domain and goals • Architecture concept • Technology reviews: Java, agent frameworks • Illustrative demo for framework capabilities • Modeling (and generation) of agents • Domain analysis • Plans

  3. Domain and Goals Autonomic Logistics • Negotiation techniques for problem solving typical in resource management for maintenance logistics operations • Model-integrated approach for component generation (agents and interfaces) and system integration • Demonstration on real-life problems

  4. MICANTS Concept MIPS Environment Models of apps, agents, etc. Negotiating a globally beneficial solution Models Model Int. “Agent Space” Adapter Adapter Adapter Adapter Logistics App/Dbase (Legacy) Logistics App/Dbase (Legacy) Logistics App/Dbase (Legacy) Logistics App/Dbase (Legacy)

  5. Review and evaluation of relevant technologiesJava & Co. • Implementation language for network-aware computing + rich set of libraries • XML: a way for embedding ACL speech-acts • Jini: (simple) service locator mechanism

  6. Review and evaluation of relevant technologiesAgent frameworks

  7. Review and evaluation of relevant technologiesAgent frameworks • BeeGent (Toshiba) • Modeling tool for building new agent behaviors • XML-based communication infrastructure • MIT MetaGlue • Infrastructure for the Intelligent Room • Higher-level organization based on subsumption architecture • Robust communication and service location capabilities

  8. Review and evaluation of relevant technologiesZeus Agent Building Toolkit • Agent framework with predefined agent architecture • Modeling & generation tool + run-time tools • Coordination protocols are modifiable • Predefined “Agent building paradigm” • Infrastructural support • Messaging, Service lookup, Debugging, • Built-in contract-net (replaceable) http://www.labs.bt.com/projects/agents/zeus/index.htm

  9. Review and evaluation of relevant technologiesZeus Agent Building Toolkit

  10. Review and evaluation of relevant technologiesZeus Agent Building Toolkit

  11. Illustrative Demonstration Example Allocating and negotiating for a resource Transfer(8)[MT2] Maintenance Task 1 Allocate (1) Offer(5)+ Reject(6)+ Accept(7) Accept(2) Resource Allocate (3) Maintenance Task 2 Refuse(4)[MT1]

  12. Modeling (and generation) • Agent behavior models • Reactive models (stimulus/response) • Interaction protocol models (e.g. contract-net) • Problem-solving process models (planning/scheduling/negotiation phase/etc.) • Prototype: • Interaction protocol models

  13. Interaction Protocol Modeling

  14. Domain Analysis • NAVSUP business processes • Boeing work on maintenance/logistics support • Autonomic logistics vision scenario: • Autonomic response to fault events detected on-board the aircraft • Facility location, resource allocation, scheduling

  15. Negotiating Preferences • Agent preferences visible to owners • Qualitative model explanations • Quantitative details and tradeoffs • Preferences changeable by owners • Directly in qualitative and quantitative models • Indirectly through rejection of alternatives • Learning preferences from negotiation behaviors

  16. Plans • Refinement of the modeling paradigm • Model interpreters that generate code for the framework • Modeling of legacy apps • Legacy app integration infrastructure • Further domain analysis (site visits w/ customer) • Refinement of demo scenario

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