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Cooperative Agents

Applications in the Social Sciences

  • Nicole J. Saam
  • Bernd Schmidt

Part of the Theory and Decision Library book series (TDLA, volume 32)

Table of contents

  1. Front Matter
    Pages i-vii
  2. Introduction

    1. Nicole J. Saam, Bernd Schmidt
      Pages 1-4
  3. Designing co-operative agents

    1. Bernd Schmidt
      Pages 5-20
    2. Erika Horn
      Pages 21-37
    3. Nicole J. Saam
      Pages 39-56
  4. Agent-based social simulation

    1. Rita Cecchi, Rosaria Conte, Cristiano Castelfranchi
      Pages 83-107
    2. Nigel Gilbert, Edmund Chattoe
      Pages 109-124
    3. Hans-Joachim Mosler, Wernher Brucks
      Pages 125-147
  5. Hybrid forms of interaction between humans and artificial agents

  6. Back Matter
    Pages 203-216

About this book

Introduction

Agent-based modelling on a computer appears to have a special role to play in the development of social science. It offers a means of discovering general and applicable social theory, and grounding it in precise assumptions and derivations, whilst addressing those elements of individual cognition that are central to human society. However, there are important questions to be asked and difficulties to overcome in achieving this potential. What differentiates agent-based modelling from traditional computer modelling? Which model types should be used under which circumstances? If it is appropriate to use a complex model, how can it be validated? Is social simulation research to adopt a realist epistemology, or can it operate within a social constructionist framework? What are the sociological concepts of norms and norm processing that could either be used for planned implementation or for identifying equivalents of social norms among co-operative agents? Can sustainability be achieved more easily in a hierarchical agent society than in a society of isolated agents? What examples are there of hybrid forms of interaction between humans and artificial agents? These are some of the sociological questions that are addressed.

Keywords

Agent-Based Modeling Norm environment learning model modeling simulation software agent

Editors and affiliations

  • Nicole J. Saam
    • 1
  • Bernd Schmidt
    • 2
  1. 1.Ludwig-Maximilians-Universität MünchenGermany
  2. 2.Universität PassauGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-94-017-1177-7
  • Copyright Information Springer Science+Business Media B.V. 2001
  • Publisher Name Springer, Dordrecht
  • eBook Packages Springer Book Archive
  • Print ISBN 978-90-481-5902-4
  • Online ISBN 978-94-017-1177-7
  • Buy this book on publisher's site