Case-based reasoning (CBR) is a knowledge-based problem-solving technique, which is based on reuse of previous experiences. In this paper we propose a new model for static task as...
We propose a conceptually and technically neat method to identify known semantic patterns close to a novel pattern. This occurs in the context of a system to acquire knowledge inc...
Sylvain Delisle, Terry Copeck, Stan Szpakowicz, Ke...
Location estimation is an important part of many ubiquitous computing systems. Particle filters are simulation-based probabilistic approximations which the robotics community has ...
Abstract. This paper describes an innovative usage of Case-Based Reasoning to reduce the high computing cost derived from running large interactive simulation scenarios within the ...
This contribution presents Soft Computing Robot Navigation for mobile robot SCORCAS, a Case Study. The Navigation uses fuzzy logic experienced on mobile robot systems. Fuzzy logic...