1.

Record Nr.

UNINA9910483164603321

Titolo

Programming Multi-Agent Systems : 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

Pubbl/distr/stampa

Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005

Edizione

[1st ed. 2005.]

Descrizione fisica

1 online resource (XIV, 249 p.)

Collana

Lecture Notes in Artificial Intelligence, , 2945-9141 ; ; 3346

Altri autori (Persone)

BordiniRafael H

Disciplina

006.3

Soggetti

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 Interpreters

Lingua di pubblicazione

Inglese

Formato

Materiale a stampa

Livello bibliografico

Monografia

Note generali

Bibliographic Level Mode of Issuance: Monograph

Nota di bibliografia

Includes bibliographical references and index.

Nota di contenuto

Invited 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.