Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...
Users of complex applications need advice, assistance, and feedback while they work. We are experimenting with “adjunct” user agents that are aware of the history of interacti...
Robert G. Farrell, Peter G. Fairweather, Eric Brei...
This paper presents an object-oriented approach for describing and modelling buildings by means of computer graphics. The approach is based on an object- and component-oriented gr...
- The important step towards a comprehensive CAD framework is the development of a suitable, complete design model on which the design system’s components are based. To date, we ...
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...