Learning through reinforcement and replicator dynamics

Article Abstract:

A learning model in the context of game theory, under a continuous time limit, converges at the replicator dynamics but decision maker may also deviate from maximizing payoffs. The model provides a non-deterministic interpretation of learning behavior with the result referring to finite points in time. The level of aspiration, to which pay-off rewards and the extent of the effect of habit-formation are compared with when making choices, is also assumed exogenous and fixed at zero.

Administration of General Economic Programs, Economic Statistics & Research, Models, Usage, Economic conditions, Learning models (Stochastic processes), Stochastic models

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Continuous approximations of stochastic evolutionary game dynamics

Article Abstract:

Research is presented concerning the evaluation of stochastic differential equations and ordinary differential equations which are used to determine the characteristics of discrete stochastic processes.

Research, Differential equations, Stochastic differential equations

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Decision rules with bounded memory

Article Abstract:

A model is examined with limited memory assumed for decision-makers. The maxmin strategy tends to be selected due to memory characteristics of the decision maker.

Decision theory

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