Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Two examples of open-loop differential games are considered in the paper. Starting with simplified dynamic Duel, further it was developed to differential economic Duel modelling pr...
A continuing problem in business today is the design of human-computer systems that respect how work actually gets done. The overarching context of work consists of activities, wh...
William J. Clancey, Patricia Sachs, Maarten Sierhu...
Abstract. This paper presents a novel method for developing and evaluating intelligent robot behavior for joint human-robot activities. We extended a physical simulation of an auto...
Abstract. The paper presents the preliminary version of Ontobella - a domain ontology of beliefs. The philosophical assumptions of this system are taken from the philosophy of Roma...
Pawel Garbacz, Marek Lechniak, Piotr Kulicki, Robe...