We present in this paper a method to introduce a priori knowledge into reinforcement learning using temporally extended actions. The aim of our work is to reduce the learning time ...
We extend finite state registered automata (FSRA) to account for medium-distance dependencies in natural languages. We provide an extended regular expression language whose expres...
This article investigates the intensional programming paradigm for agent communication by introducing context as a first class object in the intensional programming language Lucid...
In this paper we consider algebras of fuzzy truth values equipped with an implication operation. Generalizing the definition of type-1 fuzzy implications, we discuss extended fuzz...