Perram

Applications of Multi-Agent Systems

6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, Odense, Denmark, August 1994 Proceedings.
Mitarbeit:Perram, John; Müller, Jean-Pierre

• Broschiertes Buch

Produktbeschreibung

This book constitutes the refereed proceedings of the 6th European Workshop on Modelling Autonomous Agents in a Multi-Agent World, MAAMAW '94, held in Odense, Denmark, in August 1994.
The 15 revised full papers included in the book were carefully selected from the workshop contributions; they address various current aspects of multi-agent systems, with a certain focus on applicational aspects. In addition, there is an invited paper "Agents: towards a society in which humans and computers cohabitate" by Mario Tokoro.

Produktdetails

• Lecture Notes in Computer Science 1069
• Verlag: Springer / Springer Berlin Heidelberg / Springer, Berlin
• Artikelnr. des Verlages: 978-3-540-61157-8
• 1998.
• Seitenzahl: 236
• Erscheinungstermin: 24. April 1996
• Englisch
• Abmessung: 235mm x 155mm x 13mm
• Gewicht: 313g
• ISBN-13: 9783540611578
• ISBN-10: 3540611576
• Artikelnr.: 09242052

Inhaltsangabe

Agents: Towards a society in which humans and computers cohabitate.- ARCHON and its environment.- What ants cannot do.- Towards a theory of cooperative problem solving.- A tool for handling uncertain information in multi-agent systems.- DA-SoC: A testbed for modelling distribution automation applications using agent-oriented programming.- APPEAL: A multi-agent approach to interactive learning environments.- Language constructs for coordination in an agent space.- A distributed approach to partial constraint satisfaction problems.- A collaboration strategy for repetitive encounters.- ASIC: An architechture for social and individual control and its application to computer vision.- Hierarchical model and communication by signs, signals, and symbols in multi-agent environments.- Plan recognition: From single-agent to multi-agent plans.- Distributed negotiation-based task planning for a flexible manufacturing environment.- A multi-agent approach to dynamic, adaptive scheduling of material flow.- Motion planning for an articulated robot: A multi-agent approach.