Learning to Discriminate Between Multiple Possible Environments: an Imprinting Scenario
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چکیده
This paper presents work extending the evolution of learning using dynamical neural networks. Previous experiments in this domain have been limited to evolving agents to discriminate between a maximum of 2 different environmental situations. In this paper we extend beyond this for the first time. We use discrimination between as many as 5 different tones in a scenario designed to reflect the basics of parental imprinting in, for example, birds.
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تاریخ انتشار 2005