Multi-Agent-Based Simulation VIII International Workshop, MABS 2007, Honolulu, HI, USA, May 15, 2007, Revised and Invited Papers /

This book constitutes the thoroughly refereed post-proceedings of the 8th International Workshop on Multi-Agent-Based Simulation, MABS 2007, held in Honolulu, HI, USA in May 2007 as an associated event of AAMAS 2007, the main international conference on autonomous agents and multi-agent systems. The...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Antunes, Luis (Editor ), Paolucci, Mario (Editor ), Norling, Emma (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2008.
Edición:1st ed. 2008.
Colección:Lecture Notes in Artificial Intelligence, 5003
Temas:
Computer simulation.
Computer engineering.
Computer networks .
Artificial intelligence.
Application software.
Social sciences-Data processing.
Computer Modelling.
Computer Engineering and Networks.
Artificial Intelligence.
Computer and Information Systems Applications.
Computer Application in Social and Behavioral Sciences.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • MABS Celebrates Its 10th Anniversary!
  • MABS Celebrates Its 10th Anniversary!
  • Architectures
  • System Issues in Multi-agent Simulation of Large Crowds
  • Middleware Support for Performance Improvement of MABS Applications in the Grid Environment
  • E Pluribus Unum: Polyagent and Delegate MAS Architectures
  • A Multi-agent Model for the Micro-to-Macro Linking Derived from a Computational View of the Social Systems Theory by Luhmann
  • Teams, Learning, Education
  • Agent-Based Simulation of Group Learning
  • An Agent-Based Model That Relates Investment in Education to Economic Prosperity
  • Economy, Trust and Reputation
  • Trust-Based Inter-temporal Decision Making: Emergence of Altruism in a Simulated Society
  • Multi-agent Model of Technological Shifts
  • Beyond Accuracy. Reputation for Partner Selection with Lies and Retaliation.

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