We compare the dynamics of predator-prey systems with specialist preda
tors or adaptive generalist predators that base diet choice on energy-
maximizing criteria. Adaptive predator behaviour leads to functional r
esponses that are influenced by the relative abundance of alternate pr
ey. This results in the per capita predation risk being positively den
sity-dependent near points of diet expansion. For a small set of param
eter values, systems with adaptive predators can be locally stable whe
reas systems with specialist predators would be unstable. This occurs
mainly when alternate prey have low enough profitability that predator
s cannot sustain themselves indefinitely when feeding on alternate pre
y. Local stability of systems with adaptive predator behaviour is inve
rsely related to the goodness of fit to optimal diet choice criteria.
Hence, typical patterns of partial prey preference are more stabilizin
g than perfect optimal diet selection. Locally stable systems with ada
ptive predators are often globally unstable, converging on limit cycle
s for many initial population densities. The small range of parameter
combinations and initial population densities leading to stable equili
bria suggest that adaptive diet selection is unlikely to be a ubiquito
us stabilizing factor in trophic interactions.