HEVA is a 3D animated character developed with Blender that evaluates the knowledge of a user in a particular subject using an adaptive test. The avatar was built with the Game Engine of Blender 2.25 and Python. Our adaptive test is based on XML as data manager and CLIPS as inference engine. Both are connected with a new library in Python that we had to develop for this purpose. Some characteri...

Learning and evolution are two adaptive processes in the natural world that have been modelled in the study of artificial intelligence in computer science. In both biology and in artificial intelligence, learning and evolution are complementary processes. The nature of the interactions between learning and evolution has been the subject of much research in scientific disciplines. Evolution of a...

This paper proposes an approach for creating and testing an multiagent systems based adaptive social educational game (SEG), QuizMASter, using the concept of simulated learners to overcome experimentation complexity and unpredictable student availability, as is typical with online learning environments. We show that simulated learners can play two roles. First, it can be used for testing the ga...

Many traits and/or strategies expressed by organisms are quantitative phenotypes. Because populations are of finite size and genomes are subject to mutations, these continuously varying phenotypes are under the joint pressure of mutation, natural selection and random genetic drift. This article derives the stationary distribution for such a phenotype under a mutation-selection-drift balance in ...

Online games are recently gained attention according to the increase of the bandwidth of the Internet. On the other hand, when we develop an online game, we have to consider the time lag problem caused by the heterogeneous environments. In this poster paper, we try to apply MAPE loop model, which consists of four key activities (Monitoring, Analysis, Planning, and Execution) for adaptation, to ...

A growing body of evidence suggests that action videogames could enhance a variety of cognitive skills and more specifically attention skills. The aim of this study was to develop a novel adaptive videogame to support the rehabilitation of the most common consequences of traumatic brain injury (TBI), that is the impairment of attention and executive functions. TBI patients can be affected by ps...

Evolutionary dynamics depend critically on a population's interaction structure-the pattern of which individuals interact with which others, depending on the state of the population and the environment. Previous research has shown, for example, that cooperative behaviors disfavored in well-mixed populations can be favored when interactions occur only between spatial neighbors or group members. ...

Inspired by successful deployments of Stackelberg Security Game in real life, researchers are working hard to optimize the game models to make them more practical. Recent security game work on wildlife protection makes a step forward by taking the possible cooperation among attackers into consideration. However, it models attackers to have complete rationality, which is not always possible in p...

It has long been known in the field of population genetics that adaptive topographies, in which population equilibria maximise mean population fitness for a trait regardless of its genetic bases, do not exist. Whether one chooses to model selection acting on a single locus or multiple loci does matter. In evolutionary game theory, analysis of a simple and general game involving distinct roles f...

the aim of the present study was to investigate the effect of an official basketball game and its result on serum testosterone and cortisol responses as well as a possible difference in these hormones between fixed and reserved players. for this purpose, two teams were purposefully selected from semi-final games of tehran first clubs. the blood samples of 22 female players (mean age: 20 years, ...