Abstract
Multiagent systems (MASs) have become a commonly adopted paradigm to model and solve real-world problems. Many competing definitions exist for a MAS. In this book, we consider a typical MAS as a system involving multiple autonomous software agents (or humans) interacting with each other with (possibly) conflicting interests and limited information, and the payoff of each agent is determined by the joint actions of all (or some) agents involved. Therefore, different from single-agent environments, in multiagent interaction environments, each agent needs to take other agents’ behaviors into consideration when it makes its own decisions, since others’ behaviors can directly influence what it expects from the system. The major question we seek to answer in this book can be summarized as follows: how can a desirable goal be achieved in different multiagent interaction environments where each agent may have its own limitations and (possibly) conflicting interests?
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© 2016 Higher Education Press, Beijing and Springer-Verlag Berlin Heidelberg
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Hao, J., Leung, Hf. (2016). Introduction. In: Interactions in Multiagent Systems: Fairness, Social Optimality and Individual Rationality. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49470-7_1
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DOI: https://doi.org/10.1007/978-3-662-49470-7_1
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