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Multi-Agent Systems: Design, Synthesis and Analysis

Om Multi-Agent Systems: Design, Synthesis and Analysis

A computer based system which consists of multiple intelligent agents interacting with each other is called a multi-agent system. It is very advanced when compared to an individual agent or monolithic system and can solve problems. The three fundamental characteristics of multi-agent systems are autonomy, local views and decentralization. Multi-agent systems have applications in computer games, films, defense systems, logistics, transportation, graphics, GIS, etc. The objective of this book is to give a general view of the different areas of multi-agent systems, and their applications. The topics covered herein offer the readers new insights in the design, synthesis and analysis of multi-agent systems. As this field is emerging at a fast pace, this book will help the readers to better understand multi-agent systems.

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  • Språk:
  • Engelsk
  • ISBN:
  • 9781632408426
  • Bindende:
  • Hardback
  • Sider:
  • 178
  • Utgitt:
  • 10. juni 2019
  • Dimensjoner:
  • 254x178x11 mm.
  • Vekt:
  • 531 g.
  Gratis frakt
Leveringstid: 2-4 uker
Forventet levering: 13. oktober 2025

Beskrivelse av Multi-Agent Systems: Design, Synthesis and Analysis

A computer based system which consists of multiple intelligent agents interacting with each other is called a multi-agent system. It is very advanced when compared to an individual agent or monolithic system and can solve problems. The three fundamental characteristics of multi-agent systems are autonomy, local views and decentralization. Multi-agent systems have applications in computer games, films, defense systems, logistics, transportation, graphics, GIS, etc. The objective of this book is to give a general view of the different areas of multi-agent systems, and their applications. The topics covered herein offer the readers new insights in the design, synthesis and analysis of multi-agent systems. As this field is emerging at a fast pace, this book will help the readers to better understand multi-agent systems.

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