Proceedings of the Eighth Conference of the Society for the Study of Artificial Intelligence and Simulation of Behaviour, 16–19 April 1991, University of Leeds

  • Luc Steels
  • Barbara Smith
Conference proceedings

Table of contents

  1. Front Matter
    Pages i-xii
  2. Distributed Intelligent Agents

    1. Front Matter
      Pages 1-1
    2. Alan H. Bond
      Pages 26-35
    3. Nuno J. Mamede, João P. Martins
      Pages 36-47
  3. Situatedness and Emergence in Autonomous Agents

  4. New Modes of Reasoning

    1. Front Matter
      Pages 107-107
    2. James Hendler, Leonard Dickens
      Pages 109-116
    3. Jérôme Euzenat, Libero Maesano
      Pages 117-128
    4. G. R. Ghassem-Sani, S. W. D. Steel
      Pages 136-146
  5. The Knowledge Level Perspective

    1. Front Matter
      Pages 147-147
    2. Christine Pierret-Golbreich, Isabelle Delouis
      Pages 149-159
    3. Han Reichgelt, Nigel Shadbolt
      Pages 160-171
    4. Thomas Wetter, Wolfram Schmidt
      Pages 172-183
    5. Franz Lackinger, Alois Haselböck
      Pages 184-195
    6. Walter Van de Velde
      Pages 196-207
    7. Guus Schreiber, Hans Akkermans, Bob Wielinga
      Pages 208-221
  6. Theorem Proving

    1. Front Matter
      Pages 223-223
    2. Fausto Giunchiglia, Toby Walsh
      Pages 225-234
    3. Sam Steel
      Pages 235-243
  7. Machine Learning

    1. Front Matter
      Pages 245-245
    2. Elizabeth F. Churchill, Richard M. Young
      Pages 247-255

About these proceedings


AISB91 is the eighth conference organized by the Society for the Study of Artificial Intelligence and Simulation of Behaviour. It is not only the oldest regular conference in Europe on AI - which spawned the ECAI conferences in 1982 - but it is also the conference that has a tradition for focusing on research as opposed to applications. The 1991 edition of the conference was no different in this respect. On the contrary, research, and particularly newly emerging research dir­ ections such as knowledge level expert systems research, neural networks and emergent functionality in autonomous agents, was strongly emphasised. The conference was organized around the following sessions: dis­ tributed intelligent agents, situatedness and emergence in autonomous agents, new modes of reasoning, the knowledge level perspective, and theorem proving and machine learning. Each of these sessions is discussed below in more detail. DISTRIBUTED INTELLIGENT AGENTS Research in distributed AI is concerned with the problem of how multiple agents and societies of agents can be organized to co-operate and collectively solve a problem. The first paper by Chakravarty (MIT) focuses on the problem of evolving agents in the context of Minsky's society of mind theory. It addesses the question of how new agents can be formed by transforming existing ones and illustrates the theory with an example from game playing. Smieja (GMD, Germany) focuses on the problem of organizing networks of agents which consist internally of neural networks.


agents artificial intelligence autonomous agents behavior control expert system intelligence knowledge learning machine learning model modeling neural networks proving simulation

Editors and affiliations

  • Luc Steels
    • 1
  • Barbara Smith
    • 2
  1. 1.Vrije Universiteit BrusselBrusselsBelgium
  2. 2.School of Computer StudiesUniversity of LeedsLeedsUK

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