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...

In this study, we argue that there will have some factors affecting online game service satisfaction and loyalty. The purpose of this study is to understand an online game service model. This model contains several dimensions including experiential value, transaction cost, and service quality, the three antecedents of online game service satisfaction and loyalty and test the associations among ...

Educational games have proliferated, but questions remain about the effectiveness at teaching both in the shortand long-term. Also unclear is whether particular game features have positive effects on learning. To examine these issues, this paper describes a controlled experiment using an educational game that was professionally developed to teach about cognitive biases in decision making (Funda...

Abstract The risky investment game of Gneezy and Potters (Q J Econ 112(2):631–645, 1997) has been proposed as a simple tool to measure risk aversion in applied settings, especially attractive settings where participants may have limited education. However, this can produce significant endowment effect (attached the initial position), so that analysis behavior should not be done Expected Utility...