@Book{vlassis07a,
  author =	 {Nikos Vlassis},
  title =	 {A Concise Introduction to Multiagent Systems and
                  Distributed Artificial Intelligence},
  publisher =	 {Morgan and Claypool Publishers},
  year =	 2007,
  abstract =	 {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.},
  url = 	 {http://jmvidal.cse.sc.edu/library/vlassis07a.pdf},
  doi = 	 {10.2200/S00091ED1V01Y200705AIM002}
}