The paper presents a method for uncertainty propagation in Bayesian networks in symbolic, as opposed to numeric, form. The algebraic structure of probabilities is characterized. Th...
Evolutionary programming was first offered as an alternative method for generating artificial intelligence. Experiments were offered in which finite state machines were used to...
Lawrence J. Fogel, Peter J. Angeline, David B. Fog...
This paper describes a procedure for minimizing the power consumption in a boolean network under the zero delay model. Power is minimized by modifying the function of each interme...
It is difficult to discover effective behavior for NPCs automatically. For instance, evolutionary methods can learn sophisticated behaviors based on a single objective, but realis...
We now know that the addition of a concept constructor called a Path Functional Dependency (PFD) to the Boolean-complete description logic DLF leads to undecidability of ABox consi...