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[Preferences are a common feature of everyday decision making. They are, therefore, an essential ingredient in many reasoning tools. Preferences are often used in collective decision making when multiple agents need to choose one out of a set of possible decisions: each agent expresses its...
[Representing and reasoning about preferences is an area of increasing theoretical and practical interest in AI. Preferences and constraints occur in real-life problems in many forms. Intuitively, constraints are restrictions on the possible scenarios: for a scenario to be feasible, all...
[The formalisms for handling preferences described in the previous chapter support a powerful combination of compactness and expressive power. However, they still require a lot of information from the user. For example, if we represent an agent’s preferences with a soft constraint problem with 4...
[An important aspect of reasoning about preferences is preference aggregation. In multiagent systems, we often need to combine the preferences of several agents. For instance, SCATS (the Sydney Coordinated Adaptive Traffic System) is a complex distributed multiagent system used to control the...
[Until now, we have considered situations where agents express their preferences over a set of objects. Even in the multi-agent case, such objects are different from the agents. We now consider a slightly different context where the agents express preferences over each other. For example, the...
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