Reputation in Artificial Societies

Social Beliefs for Social Order

  • Rosaria Conte
  • Mario Paolucci

Table of contents

  1. Front Matter
    Pages i-xiii
  2. Social Order: Old Problems, New Challenges, and Reusable Solutions

  3. The State of the Art

    1. Front Matter
      Pages 13-13
    2. Rosaria Conte, Mario Paolucci
      Pages 15-33
    3. Rosaria Conte, Mario Paolucci
      Pages 35-50
    4. Rosaria Conte, Mario Paolucci
      Pages 51-63
  4. Reputation Transmission

    1. Front Matter
      Pages 65-65
    2. Rosaria Conte, Mario Paolucci
      Pages 67-81
    3. Rosaria Conte, Mario Paolucci
      Pages 83-100
    4. Rosaria Conte, Mario Paolucci
      Pages 101-118
  5. What Reputation is Good for

    1. Front Matter
      Pages 119-119
    2. Rosaria Conte, Mario Paolucci
      Pages 121-138
    3. Rosaria Conte, Mario Paolucci
      Pages 139-152
    4. Rosaria Conte, Mario Paolucci
      Pages 153-161
  6. Advantages of the Present Approach

    1. Front Matter
      Pages 163-163
    2. Rosaria Conte, Mario Paolucci
      Pages 165-171
    3. Rosaria Conte, Mario Paolucci
      Pages 173-188
    4. Rosaria Conte, Mario Paolucci
      Pages 189-194
  7. Back Matter
    Pages 195-208

About this book

Introduction

Reputation In Artificial Societies discusses the role of reputation in the achievement of social order. The book proposes that reputation is an agent property that results from transmission of beliefs about how the agents are evaluated with regard to a socially desirable conduct. This desirable conduct represents one or another of the solutions to the problem of social order and may consist of cooperation or altruism, reciprocity, or norm obedience.
Reputation In Artificial Societies distinguishes between image (direct evaluation of others) and reputation (propagating meta­belief, indirectly acquired) and investigates their effects with regard to both natural and electronic societies. The interplay between image and reputation, the processes leading to them and the set of decisions that agents make on their basis are demonstrated with supporting data from agent­based simulations.

Keywords

Design Evaluation Image agents control simulation

Authors and affiliations

  • Rosaria Conte
    • 1
  • Mario Paolucci
    • 1
  1. 1.National Research CouncilItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4615-1159-5
  • Copyright Information Kluwer Academic Publishers 2002
  • Publisher Name Springer, Boston, MA
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-5421-5
  • Online ISBN 978-1-4615-1159-5
  • Series Print ISSN 1568-2617
  • About this book