Castellano Sergio, Cadeddu Giorgia, Cermelli Paolo
Dipartimento di Biologia Animale e dell'Uomo, Via Accademia Albertina, 13, Università di Torino, Turin, Italy.
Behav Processes. 2012 Jun;90(2):261-77. doi: 10.1016/j.beproc.2012.02.010. Epub 2012 Mar 5.
The present review is based on the thesis that mate choice results from information-processing mechanisms governed by computational rules and that, to understand how females choose their mates, we should identify which are the sources of information and how they are used to make decisions. We describe mate choice as a three-step computational process and for each step we present theories and review empirical evidence. The first step is a perceptual process. It describes the acquisition of evidence, that is, how females use multiple cues and signals to assign an attractiveness value to prospective mates (the preference function hypothesis). The second step is a decisional process. It describes the construction of the decision variable (DV), which integrates evidence (private information by direct assessment), priors (public information), and value (perceived utility) of prospective mates into a quantity that is used by a decision rule (DR) to produce a choice. We make the assumption that females are optimal Bayesian decision makers and we derive a formal model of DV that can explain the effects of preference functions, mate copying, social context, and females' state and condition on the patterns of mate choice. The third step of mating decision is a deliberative process that depends on the DRs. We identify two main categories of DRs (absolute and comparative rules), and review the normative models of mate sampling tactics associated to them. We highlight the limits of the normative approach and present a class of computational models (sequential-sampling models) that are based on the assumption that DVs accumulate noisy evidence over time until a decision threshold is reached. These models force us to rethink the dichotomy between comparative and absolute decision rules, between discrimination and recognition, and even between rational and irrational choice. Since they have a robust biological basis, we think they may represent a useful theoretical tool for behavioural ecologist interested in integrating proximate and ultimate causes of mate choice.
配偶选择源于受计算规则支配的信息处理机制,并且,为了理解雌性如何选择配偶,我们应该确定哪些是信息来源以及它们如何被用于做出决策。我们将配偶选择描述为一个三步计算过程,并针对每个步骤阐述理论并回顾实证证据。第一步是感知过程。它描述证据的获取,即雌性如何利用多种线索和信号为潜在配偶赋予吸引力值(偏好函数假说)。第二步是决策过程。它描述决策变量(DV)的构建,该变量将潜在配偶的证据(通过直接评估获得的私人信息)、先验信息(公共信息)和价值(感知效用)整合为一个数量,决策规则(DR)利用这个数量来做出选择。我们假设雌性是最优贝叶斯决策者,并推导了一个DV的形式模型,该模型可以解释偏好函数、配偶复制、社会背景以及雌性的状态和条件对配偶选择模式的影响。交配决策的第三步是一个依赖于DR的审议过程。我们确定了DR的两个主要类别(绝对规则和比较规则),并回顾了与之相关的配偶抽样策略的规范模型。我们强调了规范方法的局限性,并提出了一类计算模型(序贯抽样模型),这些模型基于这样的假设:DV随着时间积累有噪声的证据,直到达到决策阈值。这些模型迫使我们重新思考比较决策规则和绝对决策规则之间、辨别和识别之间,甚至理性和非理性选择之间的二分法。由于它们有坚实的生物学基础,我们认为它们可能是行为生态学家感兴趣的一个有用的理论工具,有助于整合配偶选择的近端和远端原因。