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Modeling Populations of Adaptive Individuals$
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Steven F. Railsback and Bret C. Harvey

Print publication date: 2020

Print ISBN-13: 9780691195285

Published to Princeton Scholarship Online: January 2021

DOI: 10.23943/princeton/9780691195285.001.0001

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A First Example: Forager Patch Selection

A First Example: Forager Patch Selection

Chapter:
(p.35) Chapter 4 A First Example: Forager Patch Selection
Source:
Modeling Populations of Adaptive Individuals
Author(s):
Steven F. Railsback, Bret C. Harvey
Publisher:
Princeton University Press
DOI:10.23943/princeton/9780691195285.003.0004

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.

Keywords:   state-based theory, prediction-based theory, foragers, foraging, patch selection, food availability, predation risk, fitness measure

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