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Cooperative Agents

Applications in the Social Sciences

  • Book
  • © 2001

Overview

Editors:
  1. Nicole J. Saam

    1. Ludwig-Maximilians-Universität München, Germany

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    You can also search for this editor in PubMed   Google Scholar

  2. Bernd Schmidt

    1. Universität Passau, Germany

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    You can also search for this editor in PubMed   Google Scholar

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

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Table of contents (11 chapters)

  1. Front Matter

    Pages i-vii
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  2. Introduction

    1. Introduction

      • Nicole J. Saam, Bernd Schmidt
      Pages 1-4

  3. Designing co-operative agents

    1. What are Agents and What are They for?

      • Bernd Schmidt
      Pages 5-20

    2. Agent Models of Software Technology

      • Erika Horn
      Pages 21-37

    3. Social Norms for Co-Operative Agents

      • Nicole J. Saam
      Pages 39-56

  4. Agent-based social simulation

    1. Can Agent-Based Modelling Really be Useful?

      • Jim E. Doran
      Pages 57-81

    2. Fraud, Exchange and Co-Operation

      • Rita Cecchi, Rosaria Conte, Cristiano Castelfranchi
      Pages 83-107

    3. Hunting the Unicorn

      • Nigel Gilbert, Edmund Chattoe
      Pages 109-124

    4. Social Influence among Agents

      • Hans-Joachim Mosler, Wernher Brucks
      Pages 125-147

  5. Hybrid forms of interaction between humans and artificial agents

    1. Enrolling Software Agents in Human Organisations

      • Ingo Schulz-Schaeffer
      Pages 149-163

    2. Hybrid Learning Communities in Agent-Based Intelligent Distributed Learning Environments

      • Andreas Harrer
      Pages 165-182

    3. Agent-Based Modeling and Simulation for Hospital Management

      • Rainer Sibbel, Christoph Urban
      Pages 183-202

  6. Back Matter

    Pages 203-216
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Keywords

About this book

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.

Editors and Affiliations

  • Ludwig-Maximilians-Universität München, Germany

    Nicole J. Saam

  • Universität Passau, Germany

    Bernd Schmidt

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