We define TTD-MDPs, a novel class of Markov decision processes where the traditional goal of an agent is changed from finding an optimal trajectory through a state space to realiz...
David L. Roberts, Mark J. Nelson, Charles Lee Isbe...
In this paper, we propose a cautious cooperative learning approach using distributed case-based reasoning. Our approach consists of two learning mechanisms: individual and coopera...
: This paper describes a method aiming to support the design of interactive-safety critical systems. The method proposes an original integration of approaches usually considered se...
We present a model of binding of relationship information in a spatial domain (e.g., square above triangle) that uses low-order coarse-coded conjunctive representations instead of...
The goal of this paper is to offer, in straight forward terms, some practical insight into distributed data surveillance. I will use the software project Carnivore as a case study....