Minding norms : mechanisms and dynamics of social order in agent societies / edited by Rosaria Conte, Giulia Andrighetto, Marco Campennì.

Format
Book
Language
English
Published/​Created
New York : Oxford University Press, 2014.
Description
1 online resource (201 p.)

Details

Subject(s)
Series
Oxford Series on Cognitive Models and Architectures [More in this series]
Summary note
This volume presents an unprecedented attempt to illustrate via agent based simulation the emergence of norms meant as prescribed conducts applied by the majority.
Notes
Description based upon print version of record.
Bibliographic references
Includes bibliographical references and index.
Source of description
Description based on online resource; title from PDF title page (ebrary, viewed October 25, 2013).
Language note
English
Contents
  • Cover; Contents; Foreword; Contributors; 1. Introduction; 1.1 Why a new book on norms?; 1.2 Why a book on cognition?; 1.3 Our perspective and approach; 1.4 Presentation of the volume and questions addressed; 1.5 How to read the book; 1.6 Acknowledgements; 2. Loops in Social Dynamics; 2.1 Introduction; 2.2 The way up: Emergence; 2.3 The way back: Downward causation; 2.3.1 Simple loop; 2.3.2 Complex loop Incorporation; 2.4 Advantages of the present approach; 2.5 Concluding remarks; 3. Agent-Based Social Simulation and Its Necessity for Understanding Socially Embedded Phenomena
  • 3.1 Cognitive simulation modeling3.2 Agent-based architectures and frameworks; 3.3 The social intelligence hypothesis; 3.4 Social embeddedness; 3.5 Micro-macro complexity; 3.6 Types of social simulation; 3.7 Linking plausible theory and observed evidence; 3.8 Relevance vs. generality in simulation; 3.9 Emergence and immergence in simulations; 3.10 Conclusion; 4. How Are Norms Brought About? A State of the Art of Current Research; 4.1 Norms between conventions and legal norms; 4.2 The game-theoretical framework of simulating norms; 4.2.1 Simulation models; 4.2.2 Analysis
  • 4.3 The cognitive method of modelling norms4.3.1 Analysis; 4.4 Norms in current architectures; 4.4.1 Normative modules; 4.4.2 Norm conflicts; 4.4.3 Concepts of norms; 4.4.4 Drawbacks of cognitive architectures; 4.5 Results and unresolved questions; 5. Modeling Hume's Theory of Norm Emergence; 5.1 Introduction and motivation; 5.2 Interaction structure and specialization; 5.3 The structure: Local groups and a central market; 5.4 Matching agents; 5.5 Learning; 5.6 A benchmark: Wealth under universal trust and trustworthiness
  • 5.7 The evolution of trust and division of labor-some first simulation studies6. Norms' Dynamics as a Complex Loop; 6.1 Normative prescriptions; 6.2 The missing link in the formal treatment of obligations; 6.3 The mental dynamics of norms; 6.3.1 Norm recognition; 6.3.2 Norm adoption; 6.3.3 Norm compliance; 6.4 Concluding remarks; 7. Hunting for Norms in Unpredictable Societies; 7.1 Introduction; 7.2 Related work; 7.3 The Norm Recognition Module; 7.4 Norm Detectives vs. Social Conformers; 7.4.1 Results of comparison; 7.5 Norm Detectives in a segregated world; 7.5.1 Effects of segregation
  • 7.6 Concluding remarks8. The Derivation of EMIL-S from EMIL-A: From Cognitive Architecture to Software Architecture; 8.1 General requirements of a multi-agent simulation system with normative agents; 8.2 System architecture; 8.3 EMIL-S; 8.4 Overview of the cognitive and normative architecture of EMIL-A; 8.5 Correspondence between EMIL-S and EMIL-A; 8.6 Differences between the cognitive and the implemented models; 8.7 Additional assumptions about cognitive processes used in EMIL-S; 9. Demonstrating the Theory: The Case of Wikipedia; 9.1 Empirical background; 9.2 The case: Wikipedia
  • 9.2.1 Social self-regulation in Wikipedia
ISBN
  • 1-299-93991-0
  • 0-19-981268-3
OCLC
859536767
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