A solution is provided to the problem of computing a convex set of conditional probability distributions that characterize the state of a nonlinear dynamic system as it evolves in...
The learning in a niche based learning classifier system depends both on the complexity of the problem space and on the number of available actions. In this paper, we introduce a ...
Dynamic logic programming allows the representation and the inference of evolving knowledge. Legal knowledge reasoning needs the capability to model laws that change over time and ...
Abstract. This paper employs genetic programming to discover statistical arbitrage strategies on the banking sector in the Euro Stoxx universe. Binary decision rules are evolved us...
Modern distributed systems often allow independent development of their components. Successful evolution of such systems depends on the flexibility of component interfaces. This p...