… than net rate determine foraging decisions (eg Caraco et al., 1980; Caraco, 1983; Caraco &
Lima, 1985). Nevertheless, we will work within the classical optimal foraging framework. The …

… the optimal foraging hypothesis, both solitary and social insect foragers are expected to
maximize some foraging … the learning walk and continues foraging or returning home, unlike …

… learning could contribute substantially to testing and extending the predictions of optimal
foraging … Most optimal foraging models imply that the animal possesses considerable infor…

… optimal foraging strategies through a reinforcement learning (RL) framework. To this end,
we model foragers as learning … model is equivalent to optimizing foraging efficiency. We then …

… that foraging chickadees (Paridae) behave in ways more consistent with the predictions of
optimal foraging … that is qualitatively different from optimal foraging ? This paper attempts to …

… learning on the foraging behaviour offishes and make recommendations for further research.
We stress the importance of quantifying learning … Optimal foraging and the size selection of …

… Furthermore, in many optimal foraging studies, the theory and … points of view concerning
optimal foraging theory, to derive … -The animal is assumed to learn nothing about the quality of …

… reinforcement learning mechanisms to approximate optimal strategies. … foraging, a
canonical optimal foraging behaviour where recent laboratory studies have shed light on learning …

… Models, such as Bayesian updating/learning, and learning rules, such as the linear
operator and relative payoff sum, attempt to capture this learning process by describing how …

… If an animal can learn the locations and types of patches in an area, however, a patch can …
able to learn the locations of the areas with ease. Under such conditions the optimal behavior …