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...

As adversarial environments become more complex, it is increasingly crucial for agents to exploit the mistakes of weaker opponents, particularly in the context of winning tournaments and competitions. In this work, we present a simple post processing technique, which we call Perfect Information Post-Mortem Analysis (PIPMA), that can quickly assess the playing strength of an opponent in certain ...

This paper highlights the current usability issues when solving Sudoku problems. This problem is a well-known puzzle game which consists in assigning numbers in a game board, commonly of 9× 9 size. The board of the game is composed of 9 columns, 9 rows and 9 3 × 3 sub-grids; each one containing 9 cells with distinct integers from 1 to 9. A game is completed when all cells have a value assigned,...

This study developed a new technique based on Probabilistic Distance Clustering (PDC) for evolving Awale player and to compare its performance with that of a technique based on approximation of minimum and maximum operators with generalized mean-value operator. The basic theory of pd-clustering is based on the assumption that the probability of an Euclidean point belonging to a cluster is inver...

IBM’s Watson uses a variety of scoring algorithms to rank candidate answers for natural language questions. These scoring algorithms played a crucial role in Watson’s win against human champions in Jeopardy!. We show that this same technique can be implemented within a real-time strategy (RTS) game playing goal-driven autonomy (GDA) agent. Previous GDA agents in RTS games were forced to use ver...

The sensitivity conjecture is a longstanding conjecture concerning the relationship between the degree and sensitivity of a Boolean function. In 2015, a communication game was formulated by Justin Gilmer, Michal Koucký, and Michael Saks to attempt to make progress on this conjecture. Andrew Drucker independently formulated this game. Shortly after the creation of the GKS game, Nisan Szegedy obt...

We describe a technique to manage pre-written lines of dialog by treating a conversation as a game. Thinking of conversation as a game means structuring it as a series of moves, made according to rules, with some sort of score. Speakers in our system converse by participating in short dialog trees, and make “moves” by negotiating transitions between trees. Speakers have internal state variables...