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This book examines how to program artificial search agents so that they act optimally or demonstrate the same behavior as predicted by the foraging theory for living organisms. It discusses foraging theory as well as search and screening theory in the same mathematical and algorithmic framework. It presents an overview of the main ideas and methods of foraging and search theories, making the concepts of one theory accessible to specialists of the other. Numerical examples illustrate the application of both theories.

Produktbeschreibung
This book examines how to program artificial search agents so that they act optimally or demonstrate the same behavior as predicted by the foraging theory for living organisms. It discusses foraging theory as well as search and screening theory in the same mathematical and algorithmic framework. It presents an overview of the main ideas and methods of foraging and search theories, making the concepts of one theory accessible to specialists of the other. Numerical examples illustrate the application of both theories.

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Autorenporträt
Eugene Kagan is a senior lecturer in the Department of Industrial Engineering at Ariel University and an advisor in the Department of Mathematics at the Weizmann Institute of Science. His research interests include dynamical systems theory, applied probability, and robotics.

Irad Ben-Gal is a professor and the chair of the Department of Industrial Engineering at Tel Aviv University. His research interests include applied probability, machine learning and information theory applications to industrial and service systems as well as business analytics applications.