2012
DOI: 10.1016/j.beproc.2012.02.010
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Computational mate choice: Theory and empirical evidence

Abstract: a b s t r a c tThe 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 eviden… Show more

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Cited by 29 publications
(36 citation statements)
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References 219 publications
(305 reference statements)
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“…On a theoretical level, the comparative evaluation of prospective mates is expected to have been favoured in species where simultaneous encounters of males are common (Castellano et al 2012). With this respect, in the green swordtail (Royle et al 2008), the fiddler crab (Reaney 2009) and the peacock blenny, i.e.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…On a theoretical level, the comparative evaluation of prospective mates is expected to have been favoured in species where simultaneous encounters of males are common (Castellano et al 2012). With this respect, in the green swordtail (Royle et al 2008), the fiddler crab (Reaney 2009) and the peacock blenny, i.e.…”
Section: Discussionmentioning
confidence: 99%
“…In many species, females base their mating decisions on several male signals (Candolin 2003; Hebets and Papaj 2005); yet, how they combine the different male attributes to rank potential mates (Bateson and Healy 2005; Castellano et al 2012) is not fully understood.…”
Section: Introductionmentioning
confidence: 99%
“…In broad terms, multiple ornaments may be evaluated either sequentially or simultaneously (reviewed in Castellano, Cadeddu, & Cermelli, 2012). Sequential choice occurs, for example, where males advertise for mates using both long-distance signals such as acoustic traits and short-distance signals, such as visual displays (Gibson, 1996).…”
Section: Introductionmentioning
confidence: 99%
“…We made two main assumptions about these mechanisms. First, we assume that noisy evidence for the testing hypotheses is accumulated over time and that a decision is made when the evidence for one of the hypotheses reaches a critical threshold [10][11][12][18][19][20]. Second, we assume that, during assessment of prospective preys/predators, the bird makes the two alternative hypotheses (caterpillar/not-caterpillar; snake/not-snake) to compete against each other.…”
Section: Discussionmentioning
confidence: 99%
“…To investigate this hypothesis, we develop a sequential-sampling model of decision-making [10][11][12]. In this model, decision-makers integrate noisy evidence over time and make decisions when the accumulated evidence reaches a given threshold.…”
Section: Introductionmentioning
confidence: 99%