The typical constraint store transmits a limited amount of information because it consists only of variable domains. We propose a richer constraint store in the form of a limited-w...
Henrik Reif Andersen, Tarik Hadzic, John N. Hooker...
Planning under uncertainty is an important and challenging problem in multiagent systems. Multiagent Partially Observable Markov Decision Processes (MPOMDPs) provide a powerful fr...
In this paper, we present a new algorithm that integrates recent advances in solving continuous bandit problems with sample-based rollout methods for planning in Markov Decision P...
Christopher R. Mansley, Ari Weinstein, Michael L. ...
This paper addresses challenges to resource managers' use of scientific research, and reports strategies and informatics tools to ameliorate those challenges. Our work involv...
Natalie Kopytko, Judith Bayard Cushing, Lee Zeman,...
In this article, theories of human judgement and decision making are reviewed and their use by library and information science researchers examined. A different perspective on jud...