A First Example: Forager Patch Selection

Abstract

This chapter illustrates how to use state- and prediction-based theory (SPT) by applying it to an extremely simple model of how hypothetical foragers select among patches that differ in both food availability and predation risk. This example uses two common techniques of SPT. First, individuals predict conditions using the simplest approach that lets them adapt to changing conditions: by simply assuming that current conditions will persist until the time horizon. The second typical SPT technique is to simplify evaluation of the fitness measure for a particular decision alternative by assuming that the individual will use the alternative until the time horizon. The chapter then evaluates the quality of decisions made via SPT. It also shows how SPT allows one to make models less simple and more realistic and capable.