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Convergence and Knowledge Processing in Multi-Agent Systems [electronic resource] / edited by Maria Chli, Philippe de Wilde.

Por: Colaborador(es): Tipo de material: TextoTextoSeries Advanced Information and Knowledge Processing | Advanced Information and Knowledge ProcessingEditor: London : Springer London, 2009Descripción: XV, 143 p. online resourceTipo de contenido:
  • text
Tipo de medio:
  • computer
Tipo de soporte:
  • online resource
ISBN:
  • 9781848820630
Trabajos contenidos:
  • SpringerLink (Online service)
Tema(s): Formatos físicos adicionales: Sin títuloClasificación CDD:
  • 006.3 23
Clasificación LoC:
  • Q334-342
  • TJ210.2-211.495
Recursos en línea:
Contenidos:
Springer eBooksResumen: Multi-agent systems are complex systems comprised of multiple intelligent agents that act either independently or in cooperation with one another. Agent-based modelling is a method for studying complex systems like economies, societies, ecologies etc. Due to their complexity, very often mathematical analysis is limited in its ability to analyse such systems. In this case, agent-based modelling offers a practical, constructive method of analysis. The objective of this book is to shed light on some emergent properties of multi-agent systems. The authors focus their investigation on the effect of knowledge exchange on the convergence of complex, multi-agent systems.
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Research Issues -- Stability of Multi-agent Systems -- The Emergence of Knowledge Exchange: An Agent-based Model of a Software Market -- Collaborative Query Expansion -- Micro-economic Control of Distributed Intelligent Personal Assistants -- Conclusions and Future Work.

Multi-agent systems are complex systems comprised of multiple intelligent agents that act either independently or in cooperation with one another. Agent-based modelling is a method for studying complex systems like economies, societies, ecologies etc. Due to their complexity, very often mathematical analysis is limited in its ability to analyse such systems. In this case, agent-based modelling offers a practical, constructive method of analysis. The objective of this book is to shed light on some emergent properties of multi-agent systems. The authors focus their investigation on the effect of knowledge exchange on the convergence of complex, multi-agent systems.

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