Proof theoretic characterizations of complexity classes are of considerable interest because they link levels of conceptual abstraction to computational complexity. We consider he...
Abstract. This paper investigates the methods for learning predictive classifiers based on Bayesian belief networks (BN) – primarily unrestricted Bayesian networks and Bayesian m...
This paper considers the use of logic-based languages for multi-agent negotiation. We begin by motivating the use of such languages, and introducing a formal model of logic-based n...
We present the rational construction of a generic domain for structural analysis anguages: Pattern(D ), where the parameter D is an abstract domain satisfying certain properties. ...
In the running of a genetic algorithm, the population is liable to be con ned in the local optimum, that is the metastable state, making an equilibrium. It is known that, after a l...