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Regulated Agent-Based Social Systems: First International Workshop, RASTA 2002, Bologna, Italy, July 16, 2002, Revised Selected and Invited Papers: Lecture Notes in Computer Science, cartea 2934

Editat de Gabriela Lindemann, Daniel Moldt, Mario Paolucci
en Limba Engleză Paperback – 10 feb 2004

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Specificații

ISBN-13: 9783540209232
ISBN-10: 3540209239
Pagini: 316
Ilustrații: X, 302 p.
Dimensiuni: 155 x 235 x 17 mm
Greutate: 0.45 kg
Ediția:2004
Editura: Springer Berlin, Heidelberg
Colecția Springer
Seriile Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence

Locul publicării:Berlin, Heidelberg, Germany

Public țintă

Research

Cuprins

Invited Paper.- How Formal Logic Can Fail to Be Useful for Modelling or Designing MAS.- Topic A: Social Theory for Agent Technology.- Communicational Patterns as Basis of Organizational Structures.- On How to Conduct Experimental Research with Self-Motivated Agents.- Cognitive Identity and Social Reflexivity of the Industrial District Firms. Going Beyond the “Complexity Effect” with Agent-Based Simulations.- The MAS-SOC Approach to Multi-agent Based Simulation.- Organisation Modelling for the Dynamics of Complex Biological Processes.- Communication without Agents? From Agent-Oriented to Communication-Oriented Modeling.- Modeling Product Awareness Rates and Market Shares.- Metanarratives and Believable Behavior of Autonomous Agents.- FORM – A Sociologically Founded Framework for Designing Self-Organization of Multiagent Systems.- Social Organization in a Software Agent Community with a Non-zero-Sum Game Interaction Model.- Emotion: Theoretical Investigations and Implications for Artificial Social Aggregates.- Topic B: Norms and Institutions in MAS.- What Is a Normative Goal?.- Searching for a Soulmate – Searching for Tag-Similar Partners Evolves and Supports Specialization in Groups.- Norms and Their Role in a Model of Electronic Institution.- A Model of Normative Multi-agent Systems and Dynamic Relationships.- Integration of Generic Motivations in Social Hybrid Agents.