Diagrammatic methodologies for the representation of agent interaction protocols can be classified as joint representations that describe an interaction in terms of a single sequ...
Declarative modelling approaches in principle assume a notion of representation or representational content for the modelling concepts. The notion of representational content as di...
Theefficiency of algorithmsfor probabilistic inference in Bayesian networks can be improvedby exploiting independenceof causal influence. Thefactorized representation of independe...
Constructive induction divides the problem of learning an inductive hypothesis into two intertwined searches: one—for the “best” representation space, and two—for the “be...
This paper proposes an evolutionary algorithm that evolves a population of finite state automata to exploit user navigational path behavior to predict, in real-time, future reques...