Humans tend to group together related properties in order to understand complex phenomena. When modeling large problems with limited representational resources, it is important to...
This paper describes the foundations and algorithms of a new probabilistic roadmap (PRM) planner that is: (1) singlequery –i.e., it does not pre-compute a roadmap, but uses the ...
of modelling abstractions to map from items in the real-world to objects in the computational domain is oth for the effective implementation of abstract problem solutions and for ...
Mariusz Nowostawski, Geoff Bush, Martin K. Purvis,...
Schedulinglarge task graphsis an importantissue in parallel computingsince it allowsthe treatment of big size problems. In this paper we tackle the following problem: how to sched...
Michel Cosnard, Emmanuel Jeannot, Laurence Rougeot
Adaptive predictive search (APS), is a learning system framework, which given little initial domain knowledge, increases its decision-making abilities in complex problems domains....