human language, over its evolutionary history, has emerged as one of the fundamental defining characteristic of the modern man. however, this milestone evolutionary process through natural selection has not left any ’linguistic fossils’ that may enable us to trace back the actual course of development of language and its establishment in human societies. lacking analytical tools to fathom the cr...

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...

‎financial market modeling and prediction is a difficult problem and drastic changes of the price causes nonlinear dynamic that makes the price prediction one of the most challenging tasks for economists‎. ‎since markets always have been interesting for traders‎, ‎many traders with various beliefs are highly active in a market‎. ‎the competition among two agents of traders‎, ‎namely trend follo...

Current approaches to adaptive game AI typically require numerous trials to learn effective behaviour (i.e., game adaptation is not rapid). In addition, game developers are concerned that applying adaptive game AI may result in uncontrollable and unpredictable behaviour (i.e., game adaptation is not reliable). These characteristics hamper the incorporation of adaptive game AI in commercially av...

Adaptive game AI aims at enhancing computercontrolled game-playing agents with the ability to self-correct mistakes, and with creativity in responding to new situations. Before game publishers will allow the use of adaptive game AI in their games, they must be convinced of its reliability. In this paper we introduce a model for Reliable Adaptive Game Intelligence (RAGI). The purpose of the mode...

In this paper, we demonstrate a novel technique for dynamically generating an emotionally-directed video game soundtrack. We begin with human Conductor observing gameplay and directing associated emotions that would enhance the observed experience. apply supervised learning to data sampled from synchronized input features output emotional direction in order fit mathematical model Conductor's di...

The decision-making process of computer-controlled opponents in video games is called game AI. Adaptive game AI can improve the entertainment value of games by allowing computer-controlled opponents to fix weaknesses automatically in the game AI, and to respond to changes in human-player tactics. Dynamic scripting is a reinforcement learning approach to adaptive game AI that learns, during game...

A new formulation of adaptive categorization game of ART-type networks is described in this papet Learning automata dynamics is introduced into adaptive categorization game in ART-type networks so that the vigilance parameters p are adjusted to give variable sized clusters. Moreovel; repeated game analysis is also conducted on the learning automata based adaptive categorization game to study th...