title: Computational mate choice: theory and empirical evidence.
abstract: 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.
authors.affiliation: Dipartimento di Biologia Animale e dell'Uomo, Via Accademia Albertina, 13, Università di Torino, Turin, Italy. sergio.castellano@unito.it
authors.forename: Sergio
authors.initials: S
authors.lastname: Castellano
authors.forename: Giorgia
authors.initials: G
authors.lastname: Cadeddu
authors.forename: Paolo
authors.initials: P
authors.lastname: Cermelli
mesh_terms: D000818:Animals; D001499:Bayes Theorem; D002755:Choice Behavior; D003657:Decision Making; D005260:Female; D052586:Mating Preference, Animal; D008954:Models, Biological; D021641:Recognition, Psychology