In this paper I give a brief overview of recent work on uncertainty inAI, and relate it to logical representations. Bayesian decision theory and logic are both normative frameworks...
Abstract. In this paper, a framework for previous and new quasi-exact extensions of the A -algorithm is presented. In contrast to previous approaches, the new methods guarantee to ...
Planning in nondeterministic domains with temporally extended goals under partial observability is one of the most challenging problems in planning. Subsets of this problem have b...
Piergiorgio Bertoli, Alessandro Cimatti, Marco Pis...
This paper extends a previous model where we examined the markets’ microstructure dynamics by using Genetic Programming as a trading rule inference engine, and Self Organizing Ma...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...
Modeling complex compositional objects in the field of the life sciences requires to solve intricate ontological problems, especially those related to parts of a whole, space and...