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      When honesty and cheating pay off: the evolution of honest and dishonest equilibria in a conventional signalling game

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          Abstract

          Background

          The reliability of signals is a key issue in the study of animal communication. Both empirical work and theoretical models show that communication need not be entirely honest, and thus signals can be deceitful. Aggressive communication appears to be a prime candidate for such deceitful communication, because bluffing has been described in several species. Bluffing in these situations are supposed to be maintained by frequency dependent selection where the fitness of a given type depends on the frequencies of the other types in the population. Previous efforts to model such a scenario through individual based simulations have yielded conflicting results. Studies have either found a rich set of polymorphic strategies including the traditional cheating scenario or found none. Thus, the modelling assumptions responsible for these diverging conclusions remain unclear.

          Results

          In this study, I investigate the effects of four modelling assumptions: the role of an extended strategy set, the initial population composition (seeding), the differences in pay-offs and finally different parameter spaces. I investigate the effects of these factors on the evolvability of both honest and mixed cheating strategies. I show that both honest and cheating equilibria readily evolve and that the investigated parameter range and the seeding of the starting populations have the greatest influence on the outcome.

          Conclusions

          Both honest signalling and polymorphic cheating equilibria are more likely to evolve from a narrow strategy set than from a random mixture of strategies. A large potential strategy set is not a setback for the evolution of communication -honest or cheating- as long as the initial population is seeded with only a few strategies. In addition, different sections of the parameter space show consistently different behaviour. Thus, frequency dependent selection has the potential to explain various empirical observations that show consistent differences in aggressive behaviour.

          Electronic supplementary material

          The online version of this article (10.1186/s12862-017-1112-y) contains supplementary material, which is available to authorized users.

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          Most cited references40

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          Biological signals as handicaps.

          An ESS model of Zahavi's handicap principle is constructed. This allows a formal exposition of how the handicap principle works, and shows that its essential elements are strategic. The handicap model is about signalling, and it is proved under fairly general conditions that if the handicap principle's conditions are met, then an evolutionarily stable signalling equilibrium exists in a biological signalling system, and that any signalling equilibrium satisfies the conditions of the handicap principle. Zahavi's major claims for the handicap principle are thus vindicated. The place of cheating is discussed in view of the honesty that follows from the handicap principle. Parallel signalling models in economics are discussed. Interpretations of the handicap principle are compared. The models are not fully explicit about how females use information about male quality, and, less seriously, have no genetics. A companion paper remedies both defects in a model of the handicap principle at work in sexual selection.
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            Lying in everyday life.

            In 2 diary studies of lying, 77 college students reported telling 2 lies a day, and 70 community members told 1. Participants told more self-centered lies than other-oriented lies, except in dyads involving only women, in which other-oriented lies were as common as self-centered ones. Participants told relatively more self-centered lies to men and relatively more other-oriented lies to women. Consistent with the view of lying as an everyday social interaction process, participants said that they did not regard their lies as serious and did not plan them much or worry about being caught. Still, social interactions in which lies were told were less pleasant and less intimate than those in which no lies were told.
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              Recent models for adaptive personality differences: a review

              In this paper we review recent models that provide adaptive explanations for animal personalities: individual differences in behaviour (or suites of correlated behaviours) that are consistent over time or contexts. We start by briefly discussing patterns of variation in behaviour that have been documented in natural populations. In the main part of the paper we discuss models for personality differences that (i) explain animal personalities as adaptive behavioural responses to differences in state, (ii) investigate how feedbacks between state and behaviour can stabilize initial differences among individuals and (iii) provide adaptive explanations for animal personalities that are not based on state differences. Throughout, we focus on two basic questions. First, what is the basic conceptual idea underlying the model? Second, what are the key assumptions and predictions of the model? We conclude by discussing empirical features of personalities that have not yet been addressed by formal modelling. While this paper is primarily intended to guide empiricists through current adaptive theory, thereby stimulating empirical tests of these models, we hope it also inspires theoreticians to address aspects of personalities that have received little attention up to now.
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                Author and article information

                Contributors
                szamszab@ludens.elte.hu
                Journal
                BMC Evol Biol
                BMC Evol. Biol
                BMC Evolutionary Biology
                BioMed Central (London )
                1471-2148
                28 December 2017
                28 December 2017
                2017
                : 17
                : 270
                Affiliations
                ISNI 0000 0004 0605 4691, GRID grid.472630.4, MTA TK “Lendület” Research Center for Educational and Network Studies (RECENS), ; Tóth Kálmán u. 4, Budapest, H-1097 Hungary
                Author information
                http://orcid.org/0000-0003-2204-9705
                Article
                1112
                10.1186/s12862-017-1112-y
                5745956
                29281957
                fff14a5c-440c-473c-9df2-dde13e196c97
                © The Author(s). 2017

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 30 January 2017
                : 8 December 2017
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100003549, Országos Tudományos Kutatási Alapprogramok;
                Award ID: 108974
                Award Recipient :
                Funded by: FundRef http://dx.doi.org/10.13039/100010661, Horizon 2020 Framework Programme;
                Award ID: 648693
                Categories
                Research Article
                Custom metadata
                © The Author(s) 2017

                Evolutionary Biology
                honest signalling,deception,mixed ess,frequency dependent selection,aggressive communication,animal personality

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