The implementation of effective reasoning tools for deciding the satisfiability of Quantified Boolean Formulas (QBFs) is an important research issue in Artificial Intelligence. Ma...
A fundamental difficulty faced by groups of agents that work together is how to efficiently coordinate their efforts. This paper presents techniques that allow heterogeneous agent...
Understanding the process of categorization is a primary research goal in artificial intelligence. The conceptual space framework provides a flexible approach to modeling context-...
Much excitement has been generated by the success of stochastic local search procedures at finding solutions to large, very hard satisfiability problems. Many of the problems on wh...
Recently, several approaches for updating knowledge bases represented as logic programs have been proposed. In this paper, we present a generic framework for declarative specifica...
Thomas Eiter, Michael Fink, Giuliana Sabbatini, Ha...
Abstract. In this paper we present a new approach for personalized presentation of web-page content. The model is defined as a preference-based configuration process that is based ...
Carmel Domshlak, Ronen I. Brafman, Solomon Eyal Sh...
A technique is proposed for computing the weakest sufficient (wsc) and strongest necessary (snc) conditions for formulas in an expressive fragment of first-order logic using quant...
Patrick Doherty, Witold Lukaszewicz, Andrzej Szala...