AND/OR search spaces have recently been introduced as a unifying paradigm for advanced algorithmic schemes for graphical models. The main virtue of this representation is its sens...
To save precious time and space, many games and simulations use static terrain and fixed (or random) reconstruction of areas that a player leaves and later revisits. This can resu...
In this paper a neural network for approximating function is described. The activation functions of the hidden nodes are the Radial Basis Functions (RBF) whose parameters are learn...
Tractable covers are introduced as a new ap proach to equivalence-preserving compilation of propositional knowledge bases. First, a gen eral framework is presented. Then, two ...
PABLO' is a nonlinear planner that reasons hially by generating abstract predicates. PABLO's abstract search spaces are generated automatically using predicate relaxatio...