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Overview Negotiation Networks Multiagent Dynamics Laboratory Jos e M Vidal Department of Computer Science and Engineering University of South Carolina September 5, 2006 Abstract A quick overview of current projects. Vidal Multiagent


  1. Overview Negotiation Networks Multiagent Dynamics Laboratory Jos´ e M Vidal Department of Computer Science and Engineering University of South Carolina September 5, 2006 Abstract A quick overview of current projects. Vidal Multiagent Dynamics Laboratory

  2. Overview What are multiagent systems? Negotiation Networks Technologies Agent-based modeling: Theory NetLogo Artificial Intelligence Web Services: SOAP, Game Theory WSDL, UDDI Economics Semantic Web: OWL, FOAF Sociology Web 2.0: Ajax, XML, Organizational Theory JavaScript, RSS Complex Systems Workflow: BPEL4WS Distributed Systems PocketPC, GPS, wireless comm. Vidal Multiagent Dynamics Laboratory

  3. The Big Picture Overview Current Projects Negotiation Networks Contact Us Vidal Multiagent Dynamics Laboratory

  4. The Big Picture Overview Current Projects Negotiation Networks Contact Us Students’ Current Work Hrishikesh Goradia Benito Mendoza Equal Excess theory algorithm for automated negotiation. Hong Jiang Application to distributed workflow Seang “Sky” Chan enactment. Ryu Matthew Baker Vidal Multiagent Dynamics Laboratory

  5. The Big Picture Overview Current Projects Negotiation Networks Contact Us Students’ Current Work Hrishikesh Goradia Benito Mendoza Bidding algorithm for PAUSE Hong Jiang auction (distributed combinatorial Seang “Sky” Chan auction with aligned incentives). Ryu Matthew Baker Vidal Multiagent Dynamics Laboratory

  6. The Big Picture Overview Current Projects Negotiation Networks Contact Us Students’ Current Work Hrishikesh Goradia Benito Mendoza Emotional Belief Desire Intention Hong Jiang architecture for negotiation. Seang “Sky” Chan A descriptive approach. Ryu Matthew Baker Vidal Multiagent Dynamics Laboratory

  7. The Big Picture Overview Current Projects Negotiation Networks Contact Us Students’ Current Work Hrishikesh Goradia Benito Mendoza Hierarchical learning. Hong Jiang How agents can share learned Seang “Sky” Chan knowledge so group learns faster. Ryu Matthew Baker Vidal Multiagent Dynamics Laboratory

  8. The Big Picture Overview Current Projects Negotiation Networks Contact Us Students’ Current Work Hrishikesh Goradia Benito Mendoza Competitive learning. Hong Jiang Win or Learn Fast. Seang “Sky” Chan Ryu Matthew Baker Vidal Multiagent Dynamics Laboratory

  9. The Big Picture Overview Current Projects Negotiation Networks Contact Us Learn More... CSCE 782: Multiagent Systems. join now! Multiagent Systems Reading Group: Mondays at 10am. http://jmvidal.cse.sc.edu Vidal Multiagent Dynamics Laboratory

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