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A multi-agent system is a type of computerized system that is made up of numerous intelligent agents that communicate with one another. It is conceivable for multi-agent systems to solve problems that a single agent or a monolithic system would have a difficult or impossible time resolving on their own. Methodical, functional, and procedural techniques, algorithmic search, and learning through reinforcement are all examples of possible types of intelligence.
How You Will Benefit
(I) Insights, and validations about the following topics:
Chapter 1: Multi-agent system
Chapter 2: Distributed artificial intelligence
Chapter 3: Software agent
Chapter 4: Intelligent agent
Chapter 5: Agent-based model
Chapter 6: Swarm intelligence
Chapter 7: Swarm robotics
Chapter 8: Consensus dynamics
Chapter 9: Agent-based social simulation
Chapter 10: Agent mining
(II) Answering the public top questions about multi agent system.
(III) Real world examples for the usage of multi agent system in many fields.
(IV) 17 appendices to explain, briefly, 266 emerging technologies in each industry to have 360-degree full understanding of multi agent system' technologies.
Who This Book Is For
Professionals, undergraduate and graduate students, enthusiasts, hobbyists, and those who want to go beyond basic knowledge or information for any kind of multi agent system.
