This paper seeks to ascertain whether the strategy-learning model of Hanaki, Sethi, Erev, and Peterhansl (2003) better accounts for observed behavior than do the various action-learning models. It does so by measuring the goodness-of-fit of the models’ predictions against published experimental results for such games as Coordination, Prisoner’s Dilemma, and Chicken. The fit is measured via the ...

this article is the report of an action research carried out in a medical university aimed at developing the teaching staff's professional skills and revising the curriculum of medical education. the academic members were reoriented towards active methods in teaching and learning basic sciences with a view to upgrading the quality of medical education and improving the curriculum. the action re...

This article introduces the notions of functional space and concept as a way of knowledge representation and abstraction for Reinforcement Learning agents. These definitions are used as a tool of knowledge transfer among agents. The agents are assumed to be heterogeneous; they have different state spaces but share a same dynamic, reward and action space. In other words, the agents are assumed t...

background: the spread of technology has influenced different aspects of human life, and teaching and learning are not exceptions. this study aimed to examine the potential contribution of the use of technology in teaching english language to medical students.   methods: this qualitative-action research study was conducted in birjand university of medical sciences (bums), with 60 medical studen...

the main challenge of a search engine is ranking web documents to provide the best response to a user`s query. despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ranks is of great importance. in this paper, a ranking algorithm based on the reinforcement le...