Preys' exploitation of predators' fear: when the caterpillar plays the Gruffalo

被引:8
作者
Castellano, Sergio [1 ]
Cermelli, Paolo [2 ]
机构
[1] Univ Turin, Dept Life Sci & Syst Biol, I-10123 Turin, Italy
[2] Univ Turin, Dept Math, I-10123 Turin, Italy
关键词
decision-making; cognitive bias; mimicry; OPTIMAL DECISION-MAKING; SIGNAL-DETECTION; EYE MIMICRY; MATE CHOICE; EVOLUTION; EYESPOTS; MODELS; NEUROBIOLOGY; LEPIDOPTERA; MECHANISMS;
D O I
10.1098/rspb.2015.1786
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
Alike the little mouse of the Gruffalo's tale, many harmless preys use intimidating deceptive signals as anti-predator strategies. For example, several caterpillars display eyespots and face-like colour patterns that are thought to mimic the face of snakes as deterrents to insectivorous birds. We develop a theoretical model to investigate the hypothesis that these defensive strategies exploit adaptive cognitive biases of birds, which make them much more likely to confound caterpillars with snakes than vice versa. By focusing on the information-processing mechanisms of decision-making, the model assumes that, during prey assessment, the bird accumulates noisy evidence supporting either the snake-escape or the caterpillar-attack motor responses, which compete against each other for execution. Competition terminates when the evidence for either one of the responses reaches a critical threshold. This model predicts a strong asymmetry and a strong negative correlation between the prey- and the predator-decision thresholds, which increase with the increasing risk of snake predation and assessment uncertainty. The threshold asymmetry causes an asymmetric distribution of false-negative and false-positive errors in the snake-caterpillar decision plane, which makes birds much more likely to be deceived by the intimidating signals of snake-mimicking caterpillars than by the alluring signals of caterpillar-mimicking snakes.
引用
收藏
页数:8
相关论文
共 32 条
[1]   Optimal sampling and signal detection: unifying models of attention and speed-accuracy trade-offs [J].
Abbott, Kevin R. ;
Sherratt, Thomas N. .
BEHAVIORAL ECOLOGY, 2013, 24 (03) :605-616
[2]   Optimal decision-making theories: linking neurobiology with behaviour [J].
Bogacz, Rafal .
TRENDS IN COGNITIVE SCIENCES, 2007, 11 (03) :118-125
[3]   The physics of optimal decision making: A formal analysis of models of performance in two-alternative forced-choice tasks [J].
Bogacz, Rafal ;
Brown, Eric ;
Moehlis, Jeff ;
Holmes, Philip ;
Cohen, Jonathan D. .
PSYCHOLOGICAL REVIEW, 2006, 113 (04) :700-765
[4]   Bayes' rule and bias roles in the evolution of decision making [J].
Castellano, Sergio .
BEHAVIORAL ECOLOGY, 2015, 26 (01) :282-292
[5]   Computational mate choice: Theory and empirical evidence [J].
Castellano, Sergio ;
Cadeddu, Giorgia ;
Cermelli, Paolo .
BEHAVIOURAL PROCESSES, 2012, 90 (02) :261-277
[6]   Sampling and assessment accuracy in mate choice: A random-walk model of information processing in mating decision [J].
Castellano, Sergio ;
Cermelli, Paolo .
JOURNAL OF THEORETICAL BIOLOGY, 2011, 274 (01) :161-169
[7]   Towards an information-processing theory of mate choice [J].
Castellano, Sergio .
ANIMAL BEHAVIOUR, 2009, 78 (06) :1493-1497
[8]   Making decisions through a distributed consensus [J].
Cisek, Paul .
CURRENT OPINION IN NEUROBIOLOGY, 2012, 22 (06) :927-936
[9]   Neural Mechanisms for Interacting with a World Full of Action Choices [J].
Cisek, Paul ;
Kalaska, John F. .
ANNUAL REVIEW OF NEUROSCIENCE, VOL 33, 2010, 33 :269-298
[10]   Predator mimicry, not conspicuousness, explains the efficacy of butterfly eyespots [J].
De Bona, Sebastiano ;
Valkonen, Janne K. ;
Lopez-Sepulcre, Andres ;
Mappes, Johanna .
PROCEEDINGS OF THE ROYAL SOCIETY B-BIOLOGICAL SCIENCES, 2015, 282 (1806)