A general game playing program plays games that it has not previously encountered. A game manager program sends the game playing programs a description of a game’s rules and obj...
RVRL (Rule Value Reinforcement Learning) is a new algorithm which extends an existing learning framework that models the environment of a situated agent using a probabilistic rule...
Abstract. Representing human spatial knowledge has long been a challenging research area. The objective of this paper is to model a route description of human navigation where verb...
Action description language C+ is more expressive than ADL in many ways; for instance, it addresses the ramification problem. On the other hand, ADL is based on first-order logi...
This paper presents our approach to the rule extraction problem from trained neural network. A method called REX is briefly described. REX acquires a set of fuzzy rules using an ev...