  These notes from a graduate class at the Unuversidad Autonoma de Madrid
analyze a search behavior known as Area Resticted Search (ARS), widespread in
the animal kingdom, and optimal when the resources that one is after are
"patchy". In the first section we study the importance of the behavior in
animal and its dependence on the dopamine as a indicator of reward. In the
second section we put together a genetic algorithm to determine the optimality
of ARS and its characteristics. Finally, we relate ARS to a type of random
walks known as "Levy Walks", in which the probability of jumping at a distance
d from the current location follows a power law distribution.
