This editorial of the special issue “Representing, Processing, and Learning Preferences:
Theoretical and Practical Challenges” surveys past and ongoing research on preferences in …

The rapidly growing field of computational social choice, at the intersection of computer
science and economics, deals with the computational aspects of collective decision making …

A general framework for constructing and using probabilistic models of complex systems that
would enable a computer to use available information for making decisions. Most tasks …

Abstract Majority of the Multiple-Attribute Decision Making (MADM) methods assume that the
criteria are independent of each other, which is not a realistic assumption in many real world …

Abstract Information about user preferences plays a key role in automated decision making.
In many domains it is desirable to assess such preferences in a qualitative rather than …

The paper explores a very simple agent design method called Q-decomposition, wherein a
complex agent is built from simpler subagents. Each subagent has its own reward function …

Issues in Multiagent Resource Allocation Yann Chevaleyre, Paul E. Dunne, Ulle Endriss,
Jerome Lang, Michel Lemaitre, Nicolas Maudet, Julian Padget, Steve Phelps, Juan A …

We formulate some questions that may help an analyst to choose a multicriteria decision
aiding method well adapted to the decision context. These questions take into account …

As introduced in Chapter 11 (Thomson, 2015), Fair Division refers to the general problem of
fairly dividing a common resource among agents having different—and sometimes …

Preference elicitation is a key problem facing the deployment of intelligent systems that
make or recommend decisions on the behalf of users. Since not all aspects of a utility …