Multiagent systems is an expanding field that blends classical fields like game theory and decentralized control with modern fields like computer science and machine learning. This monograph provides a concise introduction to the subject, covering the theoretical foundations as well as more recent developments in a coherent and readable manner.
The text is centered on the concept of an agent as decision maker. Chapter 1 is a short introduction to the field of multiagent systems. Chapter 2 covers the basic theory of singleagent decision making under uncertainty. Chapter 3 is a brief introduction to game theory, explaining classical concepts like Nash equilibrium. Chapter 4 deals with the fundamental problem of coordinating a team of collaborative agents. Chapter 5 studies the problem of multiagent reasoning and decision making under partial observability. Chapter 6 focuses on the design of protocols that are stable against manipulations by self-interested agents. Chapter 7 provides a short introduction to the rapidly expanding field of multiagent reinforcement learning.
The material can be used for teaching a half-semester course on multiagent systems covering, roughly, one chapter per lecture.
- ISBN:
- 9781598295269
- 9781598295269
-
Category:
- Artificial intelligence
- Format:
- Paperback
- Publication Date:
-
30-07-2007
- Publisher:
- Morgan & Claypool Publishers
- Country of origin:
- United States
- Pages:
- 71
- Dimensions (mm):
- 235x187x4mm
- Weight:
- 0.16kg
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