Evolution by variation and natural selection is often viewed as an optimiza
tion process that favors those organisms which are best adapted to their en
vironment. This leaves open the issue of how to measure adaptation and what
criterion is implied for optimization. This problem has been framed and an
alysed mathematically under the assumption that individuals compete to mini
mize expected losses across a series of decisions (e.g. choice of behavior)
, where each decision offers a stochastic payoff. But the fact that a parti
cular analysis is tractable for a specified criterion does not imply the fi
delity of that criterion. Computer simulations involving a version of the k
-armed bandit problem can address the veracity of the hypothesis that indiv
iduals are selected to minimize expected losses. The results offered here d
o not support this hypothesis. (C) 2000 Academic Press.