Modeling Time Series of Animal Behavior by Means of a Latent‐State Model with Feedback
Modeling Time Series of Animal Behavior by Means of a Latent‐State Model with Feedback
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通过带反馈的潜态模型对动物行为的时间序列进行建模
DOI：
10.1111/j.1541-0420.2007.00939.x
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发表时间：
2008
期刊：
影响因子：
1.9
通讯作者：
I. MacDonald
中科院分区：
文献类型：
--
作者：
W. Zucchini;D. Raubenheimer;I. MacDonald
总结我们描述了一个家庭的动物喂养行为的时间序列模型。这些模型包含了一个未观察到的状态，可以被解释为动物的动机状态，以及一个从观察到的行为反馈到这种状态的机制。我们讨论的方法，用于评估和最大限度地提高所观察到的一系列行为的可能性，从而估计参数，并推断最有可能的序列的基本状态。我们指出几个扩展的模型，包括随机效应的纳入。我们将这些方法应用于棉铃虫的取食行为的分析，从而证明了这一系列的模型作为一种工具，在调查行为的潜力。
Summary We describe a family of models developed for time series of animal feeding behavior. The models incorporate both an unobserved state, which can be interpreted as the motivational state of the animal, and a mechanism for feedback to this state from the observed behavior. We discuss methods for evaluating and maximizing the likelihood of an observed series of behaviors, and thereby estimating parameters, and for inferring the most likely sequence of underlying states. We indicate several extensions of the models, including the incorporation of random effects. We apply these methods in an analysis of the feeding behavior of the caterpillar Helicoverpa armigera, and thereby demonstrate the potential of this family of models as a tool in the investigation of behavior.