Chapter 11. A Fuzzy Implementation for the Socio-Cognitive Approach to Trust

  1. Cristiano Castelfranchi and
  2. Rino Falcone

Published Online: 2 MAR 2010

DOI: 10.1002/9780470519851.ch11

Trust Theory: A Socio-Cognitive and Computational Model

Trust Theory: A Socio-Cognitive and Computational Model

How to Cite

Castelfranchi, C. and Falcone, R. (2010) A Fuzzy Implementation for the Socio-Cognitive Approach to Trust, in Trust Theory: A Socio-Cognitive and Computational Model, John Wiley & Sons, Ltd, Chichester, UK. doi: 10.1002/9780470519851.ch11

Author Information

  1. Institute of Cognitive Sciences and Technologies (ISTC) of the Italian National Research Council (CNR), Italy

Publication History

  1. Published Online: 2 MAR 2010
  2. Published Print: 26 MAR 2010

Book Series:

  1. Wiley Series in Agent Technology

Book Series Editors:

  1. Michael Wooldridge

Series Editor Information

  1. University of Liverpool, UK

ISBN Information

Print ISBN: 9780470028759

Online ISBN: 9780470519851

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Keywords:

  • fuzzy implementation for socio-cognitive approach to trust;
  • possible implementation of socio-cognitive model of trust;
  • Fuzzy Logic Approach (FLA);
  • Fuzzy Cognitive Maps (FCM);
  • converging and diverging belief sources;
  • summing up contribution of heterogeneous fonts;
  • modeling beliefs and sources;
  • ‘Routine Visit’ and ‘Emergency Visit’;
  • learning mechanisms;
  • FCM used by cognitive trustor

Summary

This chapter contains sections titled:

  • Using a Fuzzy Approach

  • Scenarios

  • Belief Sources

  • Building Belief Sources

  • Implementation with Nested FCMs

  • Converging and Diverging Belief Sources

  • Homogeneous and Heterogeneous Sources

  • Modeling Beliefs and Sources

  • Overview of the Implementation

  • Description of the Model

  • Running the Model

  • Experimental Setting

  • Learning Mechanisms

  • Contract Nets for Evaluating Agent Trustworthiness

  • References