Searching and Learning in a Random Environment

Abstract

Area concentrated search provides a means by which foragers may exploit heterogeneities in a resource following a simple rule of thumb which reacts to encounters with that resource by changing search speeds. A model with few parameters is presented. It permits an analysis of optimal searching rules in a random environment. We show that optimal search… (More)

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