Abstract
In this article we give a high-level overview of various aspects relevant to multi-agent decision making. Classical decision theory makes the start. Then, we introduce multi-agent decision making, focussing on game theory, complex decision making, and on intelligent agents. Afterwards, we discuss methods for reaching agreements interactively, e.g. by negotiation, bargaining, and argumentation, followed by approaches to coordinate and to control agents’ decision making.
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Notes
Acting strategically means, when acting an agent takes into consideration the behavior and motivations of other agents, specially how they will possibly react/respond to performed actions.
In this context, actions are also called strategies.
Goals can also be seen as abstractions of outcomes with their utility—those which are satisfactory for the agent [145].
Often, more general preference relations over outcomes are considered, cf. [99].
In general, this can be defined for any other solution concept, e.g. a Nash equilibrium.
In the literature there are alternative definitions, e.g. when social choice rules are considered it is required that each possible outcome can be obtained by some equilibrium strategy; moreover, often the considered utility functions are taken from a restricted set rather than from the set of all possible functions, cf. [99, 141].
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I would like to thank Mehdi Dastani, Jürgen Dix, Franziska Klügl, and Leon van der Torre for valuable comments and discussions.
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Bulling, N. A Survey of Multi-Agent Decision Making. Künstl Intell 28, 147–158 (2014). https://doi.org/10.1007/s13218-014-0314-3
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DOI: https://doi.org/10.1007/s13218-014-0314-3