Artificial intelligence for games is of great interest as video games are more and more popular. Nowadays, people are looking for more realistic game agents that take actions in the same way as intelligent human beings. To estimate the next state of a target, a game agent observes its surrounding and learns from these observations. Several agents can communicate to share information in order to...

by Larry Kahn The Albany Great Danes began their defense o f the SUNYAC title on Wednesday, defeating Binghamton 56-45 in University Gym. John Dieckelman led the Danes In the home opener with 21 points, nine rebounds and seven blijekcd shots. Albany dominate!! (he game defensively, hauling down 45 rebounds lo Binghamlon's 29, and hulshooling the Colonials 59 lo 39. Bui on offense the Danes were...

This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on fuzzy logic to evaluate the social ability level of the children with ASD. The game adapts itsel...

in this paper, a novel hybrid model based on neural network and game theory is proposed to support the analyzers in oil market. in this model, first the neural network is utilized to learn the oil prices associated with opec production level and usa imports level. then the learned neural network is applied by a game model. finally the nash equilibrium points of the game present the optimum deci...

A great potential of educational computer games in learning process has prepared a good opportunity for teachers to apply “playful elements” in learning environments. As a result educational computer games are widely used as tools to entertain, instruct, motivate and develop skills. The effectiveness of a computer game in sense of help players to learn has been matter of game education industry...