Trust Theory: A Socio-Cognitive and Computational Model
This book provides an introduction, discussion, and formal-based modelling of trust theory and its applications in agent-based systems
This book gives an accessible explanation of the importance of trust in human interaction and, in general, in autonomous cognitive agents including autonomous technologies. The authors explain the concepts of trust, and describe a principled, general theory of trust grounded on cognitive, cultural, institutional, technical, and normative solutions. This provides a strong base for the author’s discussion of role of trust in agent-based systems supporting human-computer interaction and distributed and virtual organizations or markets (multi-agent systems).
This book will be a valuable reference for researchers and advanced students focused on information and communication technologies (computer science, artificial intelligence, organizational sciences, and knowledge management etc.), as well as Web-site and robotics designers, and for scholars working on human, social, and cultural aspects of technology. Professionals of ecommerce systems and peer-to-peer systems will also find this text of interest.
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1 Definitions of Trust From Conceptual Components to the General Core
2 SocioCognitive Model of Trust Basic Ingredients
3 SocioCognitive Model of Trust Quantitative Aspects
4 The Negative Side Lack of Trust Implicit Trust Mistrust Doubts and Diffidence
5 The Affective and Intuitive Forms of Trust The Confidence We Inspire
6 Dynamics of Trust
7 Trust Control and Autonomy A Dialectic Relationship