BAYESIAN BIRDS - A SIMPLE EXAMPLE OF OATEN STOCHASTIC-MODEL OF OPTIMAL FORAGING
BAYESIAN BIRDS - A SIMPLE EXAMPLE OF OATEN STOCHASTIC-MODEL OF OPTIMAL FORAGING
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DOI：
10.1016/0040-5809(80)90051-9
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发表时间：
1980-01-01
影响因子：
1.4
通讯作者：
GREEN, RF
中科院分区：
文献类型：
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作者：
GREEN, RF
Allan Oten声称，最优觅食的随机模型可能会产生与类似确定性模型的结果定性不同的结果。燕麦S模型比较笼统，难以直观地理解。考虑了一个简单易处理的模型，其中捕食者系统地搜索每个斑块(不需要对同一区域进行两次搜索)，直到他耗尽该斑块或确定该斑块不是很好。显然，每个斑块都包含固定数量的比特，每个比特可能包含一个猎物。假设每个斑块的猎物数量服从二项分布，其中n等于比特数，p是具有贝塔分布的随机变量。在搜索完每一位之后，捕食者根据它找到的猎物的数量来决定是否离开这片土地。确定了最佳策略，并将长期取食率与完全搜索每一块土地的幼稚动物的取食率进行了比较。作为贝叶斯人的优势是在各种环境条件下确定的。
Allan Oaten has claimed that stochastic models of optimal foraging may produce results qualitatively different from those of the analogous deterministic models. Oaten''s model is general and difficult to understand intuitively. A simple, tractable model is considered in which the predator searches each patch systematically (without going over the same area twice) until he exhausts the patch or decides that the patch is not very good. Each patch apparently contains a fixed number of bits, each of which may contain a prey. The number of prey per patch is assumed to have a binomial distribution with n equal to the number of bits and p being a random variable having a beta distribution. After searching each bit the predator decides whether to leave the patch or not according to how many prey it has found. The best strategy is determined and the long-term rate of feeding is compared with that of the naive animal that searches each patch completely. The advantage of being a Bayesian is determined for a variety of environmemtal conditions.