We make a number of contributions to the study of the Quantified Constraint Satisfaction Problem (QCSP). The QCSP is an extension of the constraint satisfaction problem that can b...
Ian P. Gent, Peter Nightingale, Andrew G. D. Rowle...
This paper discusses If multi-agent learning is the answer, what is the question? [Y. Shoham, R. Powers, T. Grenager, If multiagent learning is the answer, what is the question? A...
Behavioral research suggests that human learning in some multi-agent systems can be predicted with surprisingly simple “foresight-free” models. The current note discusses the ...
Head pose and gesture offer several conversational grounding cues and are used extensively in face-to-face interaction among people. To recognize visual feedback efficiently, hum...
Louis-Philippe Morency, Candace L. Sidner, Christo...
The AGM postulates for belief revision, augmented by the DP postulates for iterated belief revision, provide generally accepted criteria for the design of operators by which intel...
Preference aggregation in a multiagent setting is a central issue in both human and computer contexts. In this paper, we study in terms of complexity the vulnerability of preferen...
We present an efficient algorithm that checks the consistency of partial descriptions of ordered trees. The constraint language of these descriptions was introduced by Cornell in c...