The foraging benefits of information and the penalty of ignorance
Article Abstract:
The patch use theory and the marginal value theorem predict that a foraging patch should be abandoned when the costs and benefits of foraging in the patch are equal, as this has generally been interpreted as all patches being abandoned when their instantaneous intake rate equals the foraging costs. The general solution is such that a patch should not be left when instantaneous quitting harvest rate reaches a constant level, but when potential quitting harvest rate does, as the forager should base its decision on the value now and in the future until the patch is left.
Publication Name: Oikos
Subject: Environmental issues
ISSN: 0030-1299
Year: 2006
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Are animals capable of Bayesian updating? An empirical review
Article Abstract:
Numerous behavioral models assume individuals combine knowledge in the form of a prior distribution with current sample information using Bayesian updating to estimate the quality of environmental parameters. The decision making should focus on understanding the way the animals learn prior distributions and on decision making in additional ecological contexts, as it is suggested that a variety of animals in different ecological contexts that behave in a manner consistent with predictions of Bayesian updating models.
Publication Name: Oikos
Subject: Environmental issues
ISSN: 0030-1299
Year: 2006
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Bayes' theorem and its applications in animal behavior
Article Abstract:
Bayesian decision theory can be used to model animal behavior which applied to animal behavior is based on the assumption that the individual has some sort of 'prior opinion' of the possible states in the world. A correctly formulated Bayesian model predicts the way the animals may combine previous experience with sampling information to make optimal decisions that means that it should be often expected to see 'Bayesian like' decision making in nature.
Publication Name: Oikos
Subject: Environmental issues
ISSN: 0030-1299
Year: 2006
User Contributions:
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