We study the comparison of dynamic semantics (games, dealing with interactions) with static semantics (dealing with results of interactions), in the spirit of Timeless Games [2]. ...
The development of cognitively plausible models of human spatial reasoning may ultimately result in computational systems that are better equipped to meet human needs. This paper e...
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
The Bayesian framework of learning from positive noise-free examples derived by Muggleton [12] is extended to learning functional hypotheses from positive examples containing norma...
The paper presents a prototype of a system for querying the Web in natural language (French) for a limited domain. The domain knowledge, represented in description logics (DL), is ...