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Adaption and learning in multi-agent systems IJCAI "95 workshop, Montréal, Canada, August 21, 1995, proceedings by International Joint Conference on Artificial Intelligence (14th 1995 MontreМЃal, QueМЃbec)

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Published by Springer in Berlin, New York .
Written in English

Subjects:

  • Machine learning -- Congresses,
  • Distributed artificial intelligence -- Congresses,
  • Electronic data processing -- Distributed processing -- Congresses

Book details:

Edition Notes

Includes bibliographical references and index.

StatementGerhard Weiss, Sandip Sen (eds.).
SeriesLecture notes in computer science ;, 1042., Lecture notes in artificial intelligence, Lecture notes in computer science ;, 1042., Lecture notes in computer science.
ContributionsWeiss, Gerhard, 1962-, Sen, Sandip, 1964-
Classifications
LC ClassificationsQ325.5 .I55 1995
The Physical Object
Paginationx, 238 p. :
Number of Pages238
ID Numbers
Open LibraryOL970224M
ISBN 103540609237
LC Control Number96006928

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  In the last years the topic of adaptation and learning in multi-agent systems has gained increasing attention in Artificial Intelligence. This article is intended to provide a compact, introductory and motivational guide to this topic. The article consists of two by: Multi-agent learning, i.e., the ability of the agents to learn how to cooperate and compete, becomes crucial in many domains. Autonomous agents and multi-agent systems (AAMAS) is an emerging multi-disciplinary area encompassing computer science, software engineering, biology, as well as cognitive and social sciences. Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering, and developmental biology, as well as cognitive and social science. This book surveys the state of the. Adaptive Agents and Multi-Agent Systems is an emerging and exciting interdisciplinary area of research and development involving artificial intelligence, computer science, software engineering.

This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions , and , held in Paris, Brussels and Maa. This book presents 17 revised and carefully reviewed papers taken from two workshops on the topic as well as 2 invited papers by leading researchers in the area. The papers deal with various aspects of machine learning, adaptation, and evolution in the context of agent systems and autonomous agents. This book contains selected and revised papers of the European Symposium on Adaptive and Learning Agents and Multi-Agent Systems (ALAMAS), editions , and , held in Paris, Brussels and Maastricht. The goal of the ALAMAS symposia, and this associated book, is to increase awareness and.   In: Weiß G., Sen S. (eds) Adaption and Learning in Multi-Agent Systems. IJCAI Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence), vol

Request PDF | On Jan 1, , Eduardo Alonso and others published Adaptive Agents and Multi-Agent Systems: Adaptation and Multi-Agent Learning | . Get this from a library! Adaption and learning in multi-agent systems: proceedings. [Gerhard Weiss;]. CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda). In the last years the topic of adaptation and learning in multi-agent systems has gained increasing attention in Artificial Intelligence. This article is intended to provide a compact, introductory and motivational guide to this topic. The article consists of two sections. Add to Book Bag Remove from Book Bag. Saved in: Adaption and learning in multi-agent systems: IJCAI '95 workshop, Montréal, Canada, Aug , proceedings / Bibliographic Details; Corporate Author: International Joint Conference on .