Learning during backtrack search is a space-intensive process that records information (such as additional constraints) in order to avoid redundant work. In this paper, we analyze...
Markov decision processes (MDPs) are a very popular tool for decision theoretic planning (DTP), partly because of the welldeveloped, expressive theory that includes effective solu...
This paper discusses techniques that improve the performance of a case retrieval system, after it is deployed, as a result of the continued usage of the system, by remembering pre...
Expert critiquing systems are a type of humancomputercollaborative system in which a computer agent presents reasoned opinions about a humanagent's problem-solving process fo...
Computer-based presentation systems enable the realization of effective and dynamic presentation styles that incorporate multiple media. Obvious examples are animated user interfa...