Game theory is not only useful to understand the performance of human and autonomous game players, but it is also widely employed to solve resource allocation problems in distributed decision making systems. These distributed systems are mostly referred to as multi-agent systems. Reinforcement learning is a promising technique for learning agents to adapt their own strategies in such systems. M...

In this paper, we show how the dynamics of Q-learning can be visualized and analyzed from a perspective of Evolutionary Dynamics (ED). More specifically, we show how ED can be used as a model for Qlearning in stochastic games. Analysis of the evolutionary stable strategies and attractors of the derived ED from the Reinforcement Learning (RL) application then predict the desired parameters for R...

Millions of language learners use commercial off-the-shelf computer games as informal learning contexts. Massively multiplayer online role-playing games (MMORPGs) are rich meaningful vocabulary learning contexts with in-game cultures that encourage creativity, decrease anxiety, force interaction, demand cooperative and autonomous learning, increase motivation, and reward curiosity. This case-st...

Cooperative leaning techniques have their own unique advantages for the teacher and the students. This paper is to discuss the English teaching model of cooperative learning in the network environment in higher vocational education based on theory of cooperative learning and theory of computerassisted cooperative learning. First, it introduces the characteristics of the computer-assisted cooper...

Teachers Participating in Professional Learning Activities: The Role of Personal, Organizational, and Administrative Factors   M. AhmadYoosofi* H. Motaharinejaad, Ph.D. ** H. Aazari, Ph.D. ***   To help with the improvement in professional learning of teachers the opinions of 190 elementary school teachers on developmental leadership, cooperation among teachers, internalization ...

The Baldwin effect is known as interactions between learning and evolution, which suggests that individual lifetime learning can influence the course of evolution without the Lamarckian mechanism. Our concern is to consider the Baldwin effect in dynamic environments, especially when there is no explicit optimal solution through generations and it depends only on interactions among agents. We ad...

The Baldwin effect is known as an interaction between learning and evolution, which suggests that individual lifetime learning can influence the course of evolution without lamarckian mechanism. Since Hinton and Nowlan showed this by computer simulation, many studies have been made in the static environment. Our concern is to consider the Baldwin effect in dynamic environment, especially when t...