An evolutionary approach to learning in a changing environment

Article Abstract:

The issue of evaluating the advantage of the ability to learn over more simplistic and rigid forms of behavior in a changing environment is addressed. Through evolutionary game theory, which is used for analysis, it is proved that despite the huge cost concerns of the evolutionary learning, proper mechanism of the process can compensate for the costs and survive.

United States, Usage, Evaluation, Adaptation (Biology), Evolutionary adaptation, Game theory

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Learning while searching for the best alternative

Article Abstract:

Research addressing the question of how to search optimally in a situation involving learning and distinguishable search alternatives is presented. It was found that the independence of different search alternatives is vital for the optimality of the sampling rule.

Operations Research, Research, Search theory

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On the convergence of reinforcement learning

Article Abstract:

A study examining the convergence of payoffs and strategies in Erev and Roth's model of reinforcement learning is presented.

United Kingdom, Analysis, Learning models (Stochastic processes), Stochastic models

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