: The article is devoted to the development of knowledge-oriented models that are able to increase the efficiency and quality of main pipeline complex (MPC) dispatching control. Th...
There is growing evidence from psychophysical and neurophysiological studies that the brain utilizes Bayesian principles for inference and decision making. An important open quest...
“Scrap Your Boilerplate” (SYB) is an established style of generic functional programming. The present paper reconstructs SYB within the Prolog language with the help of the un...
Iterative Combinatorial Auctions (ICA) have been getting increasing attention both from researchers and in practice as they can increase efficiency of complex markets with substi...
Decision making models for autonomous agents have received increased attention, particularly in the field of intelligent robots. In this paper we will show how a Defeasible Logic ...