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The evolution of signal form: Effects of learned versus inherited recognition

By Masashi Kamo, Stefano Ghirlanda and Magnus Enquist


Organisms can learn by individual experience to recognize relevant stimuli in the environment or they can genetically inherit this ability from their parents. Here, we ask how these two modes of acquisition affect signal evolution, focusing in particular on the exaggeration and cost of signals. We argue first, that faster learning by individual receivers cannot be a driving force for the evolution of exaggerated and costly signals unless signal senders are related or the same receiver and sender meet repeatedly. We argue instead that biases in receivers’ recognition mechanisms can promote the evolution of costly exaggeration in signals. We provide support for this hypothesis by simulating coevolution between senders and receivers, using artificial neural networks as a model of receivers’ recognition mechanisms. We analyse the joint effects of receiver biases, signal cost and mode of acquisition, investigating the circumstances under which learned recognition gives rise to more exaggerated signals than inherited recognition. We conclude the paper by discussing the relevance of our results to a number of biological scenarios

Topics: Ethology, Animal Cognition, Evolution, Neural Nets, Theoretical Biology, Animal Behavior
Year: 2003
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    1. (1978). Animal signals: information or manipulation? In Behavioural ecology. An evolutionary approach
    2. (1981). Behavioral variation in natural populations. I. Phenotypic, genetic, and environmental correlations between chemoreceptive responses to prey in the garter snake, Thamnophis elegans.
    3. (1995). Conflict, receiver bias and the evolution of signal
    4. (1974). Defence in animals. A survey of anti-predator defences.
    5. (1999). Evolution of diversity in warning color and mimicry: polymorphism, shifting balance, and speciation. doi
    6. (1986). Evolutionary stability of aposematic coloration and prey unprofitability: a theoretical analysis.
    7. (1957). Games and decisions. doi
    8. (1964). Isolating mechanisms and interspecies interactions.
    9. (1989). Learning algorithms and networks of neurons.
    10. (1985). Models of parent-offspring conflict. V. Effects of the behavoiur of the two parents. doi
    11. (1998). Neural representation and the evolution of signal form.
    12. (1998). Principles of animal communication. Sunderland Massachusetts: Sinauer Associates Inc.
    13. (1993). Selection of exaggerated male traits by female aesthetic senses.
    14. (1988). Social learning and the acquisition of snake fear in monkeys. doi
    15. (1975). Steady state data and a quantitative model of operant generalization and discrimination.
    16. (1994). Symmetry, beauty and evolution.
    17. (1989). The computational unit as an assembly of neurons: an implementation of an error correcting learning algorithm.
    18. (1989). The computing neuron. doi
    19. (1974). The psychology of animal learning. doi
    20. (1985). Une procedure d’âpprentissage pour reseau a seuil asymmetrique.

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