Programming Multi-Agent Systems [electronic resource] : Second International Workshop ProMAS 2004, New York, NY, July 20, 2004, Selected Revised and Invited Papers / edited by Rafael H. Bordini, Mehdi Dastani, Amal El Fallah Seghrouchni.
Contributor(s): Bordini, Rafael H [editor.] | Dastani, Mehdi [editor.] | Seghrouchni, Amal El Fallah [editor.] | SpringerLink (Online service).
Material type: BookSeries: Lecture Notes in Artificial Intelligence: 3346Publisher: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005Edition: 1st ed. 2005.Description: XIV, 249 p. online resource.Content type: text Media type: computer Carrier type: online resourceISBN: 9783540322603.Subject(s): Language and languages -- Style | Artificial intelligence | Computer networks | Software engineering | Computer science | Compilers (Computer programs) | Stylistics | Artificial Intelligence | Computer Communication Networks | Software Engineering | Computer Science Logic and Foundations of Programming | Compilers and InterpretersAdditional physical formats: Printed edition:: No title; Printed edition:: No titleDDC classification: 808 Online resources: Click here to access onlineInvited Papers -- Coordinating Teams in Uncertain Environments: A Hybrid BDI-POMDP Approach -- Agents - The Challenge of Relevance to the IT Mainstream -- Agent-Oriented Programming -- Goal Representation for BDI Agent Systems -- AF-APL - Bridging Principles and Practice in Agent Oriented Languages -- Agent Platforms and Tools -- A Toolkit for the Realization of Constraint-Based Multiagent Systems -- Debugging Agent Behavior in an Implemented Agent System -- A Mobile Agents Platform: Architecture, Mobility and Security Elements -- Agent Languages -- Bridging the Gap Between AUML and Implementation Using IOM/T -- Inter-agent Communication in IMAGO Prolog -- Multi-agent Systems Techniques -- OMNI: Introducing Social Structure, Norms and Ontologies into Agent Organizations -- A Dialogue Game to Offer an Agreement to Disagree -- Coordination of Complex Systems Based on Multi-agent Planning: Application to the Aircraft Simulation Domain.
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