Many of the challenges faced by the £eld of Computational Intelligence in building intelligent agents, involve determining mappings between numerous and varied sensor inputs and ...
Simulation optimization is rapidly becoming a mainstream tool for simulation practitioners. Simulation optimization is the practice of linking an optimization method with a simula...
d Abstract) Goran Gogic l, Christos H. Papadimitriou', and Martha Sideri2 : Approximating a general formula from above and below by Horn formulas (its Horn envelope and Horn c...
Goran Gogic, Christos H. Papadimitriou, Martha Sid...
Many AI problems can be modeled as constraint satisfaction problems (CSP), but many of them are actually dynamic: the set of constraints to consider evolves because of the environ...
Two standard schemes for learning in classifier systems have been proposed in the literature: the bucket brigade algorithm (BBA) and the profit sharing plan (PSP). The BBA is a lo...