Abstract. A conditioning graph (CG) is a graphical structure that attempt to minimize the implementation overhead of computing probabilities in belief networks. A conditioning grap...
Abstract. Spoken audio is an important source of information available to knowledge extraction and management systems. Organization of spoken messages by priority and content can f...
Multi-agent reinforcement learning (MARL) is an emerging area of research. However, it lacks two important elements: a coherent view on MARL, and a well-defined problem objective. ...
In: Proceedings of the Eleventh International Conference on Artificial Intelligence: Methodology, Systems, Applications (AIMSA-04), Springer-Verlag LNAI Series. c 2004 We present ...
Our work stems from the consideration that the spreading of a disease is modulated by the individual's perception of the infected neighborhood and his/her strategy to avoid be...
This paper describes a model of three-dimensional cellular automata allowing to simulate different phenomena in the fields of computer graphics or image processing. Our method allo...
We study herewith the simple threshold cellular automata (CA), as perhaps the simplest broad class of CA with non-additive (i.e., non-linear and non-affine) local update rules. We ...
Abstract. In this paper we develop an artificial world model to investigate how environmental conditions affect opportunities for learning. We model grouping entities that learn wh...
The modelling of wildland fire spread across a heterogeneous landscape is significant because fire dynamics are sensitive to local spatial characteristics. The development of accur...