Masoud Nili

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This paper deals with the problem of multi-agent learning of a population of players, engaged in a repeated normalform game. Assuming boundedly-rational agents, we propose a model of social learning based on trial and error, called “social reinforcement learning”. This extension of well-known Q-learning algorithm, allows players within a(More)
Technology foresight is an emergent tool for technology policy making both at national and business levels. This research takes advantage of the knowledge representation technique known as ontology to categorize the things that are assumed to exist in a specific technology domain. Technology foresight model is developed in this paper without any detail(More)
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