Signaling Among Relatives. III. Talk Is Cheap (Costly Signaling͞cost-Free Signaling͞handicap Principle͞sir Philip Sidney Game͞parent–Offspring Conflict)

Total Page:16

File Type:pdf, Size:1020Kb

Signaling Among Relatives. III. Talk Is Cheap (Costly Signaling͞cost-Free Signaling͞handicap Principle͞sir Philip Sidney Game͞parent–Offspring Conflict) Proc. Natl. Acad. Sci. USA Vol. 95, pp. 5100–5105, April 1998 Evolution Signaling among relatives. III. Talk is cheap (costly signalingycost-free signalingyhandicap principleySir Philip Sidney gameyparent–offspring conflict) CARL T. BERGSTROM* AND MICHAEL LACHMANN Department of Biological Sciences, Stanford University, Stanford, CA 94305 Edited by John Maynard Smith, University of Sussex, Brighton, United Kingdom, and approved February 16, 1998 (received for review September 8, 1997) ABSTRACT The Sir Philip Sidney game has been used by hunger but send a continuously intensifying signal as hunger numerous authors to show how signal cost can facilitate increases above this threshold. The mother then would be able honest signaling among relatives. Here, we demonstrate that, to distinguish among the hunger levels of each nestling above in this game, honest cost-free signals are possible as well, the threshold, while the nestlings below the threshold would all under very general conditions. Moreover, these cost-free share a common signal despite some differences in hunger signals are better for all participants than the previously level. explored alternatives. Recent empirical evidence suggests that Previous biological models of signaling among relatives have begging is energetically inexpensive for nestling birds; this focused on only the separating equilibria; this omission is a finding led some researchers to question the applicability of consequence of the differential equation-based approach used the costly signaling framework to nestling begging. Our in these models, as discussed in Signaling II. Maynard Smith’s results show that cost-free or inexpensive signals, as observed model (8), treated in Section 1, is an exception—it is con- empirically, fall within the framework of signaling theory. strained to allow fewer available signals than there are differ- ent signaler states. How can relatives communicate honestly despite interests that At these separating equilibria, communication is very costly. sometimes conflict? Several authors have addressed this ques- Bergstrom and Lachmann (15) (referred to from here on as tion by extending the costly signaling framework of Zahavi (1, Signaling I) examined the discrete and continuous Sir Philip 2) and Grafen (3) to treat signaling of need among relatives Sidney (SPS) games of Maynard Smith and Johnstone and (4–9). Broadly speaking, their results demonstrate that signal Grafen (5, 7) and prove that, although costly signaling among cost plays much the same role in signaling of need among relatives can indeed be a stable equilibrium, it often leaves relatives as it does in the examples of sexual selection signaling both participants worse off than if no signaling were to have originally treated by Grafen (3, 10)—namely, cost serves to occurred at all. Rodriguez-Girones et al. (16) demonstrate that ensure honest signaling. These signaling games often allow similar results hold for Godfray’s (6) model of nestling begging. multiple signaling equilibria [Lachmann and Bergstrom (11), In these models, the separating signaling equilibrium takes the referred to from here on as Signaling II]. A signaling equilib- form of an inferior equilibrium of a coordination game. That rium is defined as a pair of signaler and signal-receiver is, the sender and receiver of the signal aim to coordinate strategies that is an equilibrium in the game-theoretic Nash either on the mutual assumption of signaling or on the mutual equilibrium sense, in which neither player will gain an advan- assumption that there will be no signaling. Signaling is too tage from unilaterally altering strategy. The equilibria may be costly in these cases because when signaling equilibria take this separating equilibria, in which signalers in different states each separating form, the cost of signaling is independent of the send distinct signals, or they may be pooling or partially pooling distribution of signaler states, whereas the average value of equilibria, in which some signalers in different states share a signaling—the fitness gain made possible by the signal— common signal. (We borrow these definitions from economics; depends on this distribution (see Signaling I). Consequently, see, e.g., refs. 12–14.) Here, signals are taken to be distinct if rare signaler types can inflate greatly the signal cost without they are distinguished by some signal receiver. appreciably altering signal value, and thus signals can cost Both kinds of equilibria are plausible in biological signaling more than they are ‘‘worth’’ to either sender or receiver. systems. Consider a situation akin to that described by Godfray These results raise problems for the application of signaling (6, 9), in which a mother bird arrives at her nest and must theory to empirical systems. First, theoretical models predict decide how much to feed each of her nestlings. The nestlings relatively large signal costs, whereas empirical data suggest signal their hunger level by begging. If the mother is able to costs are generally small (see Section 3). Second, if separating distinguish the hunger levels of each nestling by observing the signaling equilibria are too costly to be worthwhile for sender (continuously distributed) volume of each nestling’s vocaliza- or receiver, then signaling systems only would arise among tion, we may have a separating equilibrium. If instead she is relatives when evolution became stuck at a ‘‘bad’’ equilibrium. unable or unwilling to distinguish among different degrees of This seems unlikely, given that no-signaling is most likely the begging and only observes whether or not each bird is begging, ancestral condition (15, 16). As mentioned above, however, we will have a pooling equilibrium. From the perspective of the separating equilibria are not the only possible signaling equi- signal receiver (i.e., the mother), birds with different levels of libria. In Signaling II, we show that a large number of pooling hunger will all be sharing a common signal—‘‘squawk,’’ or, and partially pooling equilibria can be stable in signaling games alternatively, ‘‘don’t squawk.’’ We also could imagine a par- played among relatives. With the possibility of pooling equi- tially pooling equilibrium, in which nestlings send the same libria comes the opportunity to use inexpensive or even signal—not begging at all—below some threshold level of zero-cost signals, with only a modest decline in signal value. In this paper, we explore these cheap signaling equilibria in detail. The publication costs of this article were defrayed in part by page charge payment. This article must therefore be hereby marked ‘‘advertisement’’ in This paper was submitted directly (Track II) to the Proceedings office. accordance with 18 U.S.C. §1734 solely to indicate this fact. Abbreviation: SPS, Sir Philip Sidney. © 1998 by The National Academy of Sciences 0027-8424y98y955100-6$2.00y0 *Towhomreprintrequestsshouldbeaddressed:[email protected]. PNAS is available online at http:yywww.pnas.org. edu. 5100 Downloaded by guest on September 29, 2021 Evolution: Bergstrom and Lachmann Proc. Natl. Acad. Sci. USA 95 (1998) 5101 Because multiple signaling equilibria exist, models of signal will allow us to address these issues. For discussion of the evolution are required to predict which equilibrium will be additional complexities that arise in defining signal cost, see observed in a given signaling game (see Signaling II). More- Hasson (17) and Maynard Smith and Harper (18). over, because signaler and receiver interests do not entirely First of all, we will treat signal cost as a relative quantity. We coincide, the equilibrium that is best for the signaler may not always will look at the difference between the cost of sending also be the best for the signal receiver. As a result, there is no a signal and the cost of taking some other action—for example, obvious way to define which signaling equilibrium is optimal in sending a different signal or even doing nothing. (Notice that a particular signaling system. For this reason, we do not doing nothing can itself be a signal and therefore usually will concern ourselves here with finding the optimal equilibria. be considered as one of the possible alternative signals, as Instead, in Section 1, we demonstrate mathematically that discussed in Signaling I). Computing signal costs as a relative cost-free signaling equilibria are far more common than measure makes intuitive sense—costs generally are computed previously believed in systems of signaling among relatives. We relative only to the set of feasible alternatives. Moreover, this show that, in the SPS game, these cost-free equilibria are better treatment of cost is in accordance with the theoretical basis for for both sender and receiver than either the no-signaling stable signaling. In Signaling II, we showed (Section 3, expres- equilibrium, for which all signalers share the cheapest signal, sions 4, 6, and 8) that the conditions for signal stability involve or the separating equilibrium considered in previous analyses. only the differences in signal costs and not the absolute signal We consider two different reasons why signaling may be costs. cost-free. First, as depicted in Fig. 1 and treated in detail by This said, we define the difference in signal cost between Maynard Smith (8), signaling can be cost-free when there is no signal A and signal B as the change in fitness that results from gain in misrepresenting one’s condition to anyone. Second, as sending signal B instead of signal A, with the response of the depicted in Fig. 4, we demonstrate that signaling can be signal receiver held constant. (In the present model, signal cost cost-free when there is a gain to misrepresenting one’s con- is independent of the receiver response; in other models the dition to some, as long as there is on average no gain in two may co-vary. In that case, signal cost can be defined only misrepresenting one’s condition to everyone. with respect to a particular receiver response.) Notice that, In Section 2, we show that, in some cases, no cost-free because receiver response is held constant under this defini- signaling equilibria exist.
Recommended publications
  • Why Do Nations Obey International Law?
    Review Essay Why Do Nations Obey International Law? The New Sovereignty: Compliance with InternationalRegulatory Agreements. By Abram Chayes" and Antonia Handler Chayes.*" Cambridge: Harvard University Press, 1995. Pp. xii, 404. $49.95. Fairness in International Law and Institutions. By Thomas M. Franck.- Oxford: Clarendon Press, 1995. Pp. 500. $55.00. Harold Hongju Koh Why do nations obey international law? This remains among the most perplexing questions in international relations. Nearly three decades ago, Louis Henkin asserted that "almost all nations observe almost all principles of international law and almost all of their obligations almost all of the time."' Although empirical work since then seems largely to have confirmed this hedged but optimistic description,2 scholars Felix Frankfurter Professor of Law, Emeritus, Harvard Law School ** President, Consensus Building Institute. Murray and Ida Becker Professor of Law; Director. Center for International Studtcs. New York University School of Law. t Gerard C. and Bernice Latrobe Smith Professor of International Law; Director. Orville H, Schell, Jr., Center for International Human Rights, Yale University. Thts Essay sketches arguments to be fleshed out in a forthcoming book, tentatively entitled WHY NATIONS OBEY: A THEORY OF COMPLIANCE WITH INTERNATIONAL LAW. Parts of this Review Essay derive from the 1997 \Vaynflete Lectures. Magdalen College, Oxford University, and a brief book review of the Chayeses volume in 91 Am. J. INT'L L. (forthcoming 1997). 1 am grateful to Glenn Edwards, Jessica Schafer. and Douglas Wolfe for splendid research assistance, and to Bruce Ackerman, Peter Balsam, Geoffrey Brennan. Paul David, Noah Feldman. Roger Hood, Andrew Hurrell, Mark Janis, Paul Kahn, Benedict Kingsbury, Tony Kronran.
    [Show full text]
  • Cheap Talk, Reinforcement Learning and the Emergence of Cooperation
    Cheap Talk, Reinforcement Learning and the Emergence of Cooperation J. McKenzie Alexander Department of Philosophy, Logic and Scientific Method London School of Economics and Political Science 23 May 2015 Cheap talk has often been thought incapable of supporting the emergence of co- operation because costless signals, easily faked, are unlikely to be reliable (Zahavi and Zahavi, 1997). I show how, in a social network model of cheap talk with reinforcement learning, cheap talk does enable the emergence of cooperation, provided that individuals also temporally discount the past. This establishes one mechanism that suffices for moving a population of initially uncooperative individuals to a state of mutually beneficial cooperation even in the absence of formal institutions. 1. The many roads to cooperation. Explaining how cooperative behaviour — or pro-social behaviour, more generally — might emerge has become a cottage industry. Mechanisms which have been shown to work, in certain contexts, include the following: reliable signals, or the “secret handshake” (Robson, 1990); costly signals, a.k.a. “the handicap principle” (Zahavi, 1975; Zahavi and Zahavi, 1997); punishment (Boyd and Richerson, 1992; Gintis, 2000); compliance with social norms (Axelrod, 1986; Bowles and Gintis, 2004; Bicchieri, 2005); correlated interactions induced by social structure (Nowak and May, 1993; Ellison, 1993; Skyrms, 2003; Alexander, 2007); reciprocal altruism (Trivers, 1971); and group selection (Sober and Wilson, 1998). This list is by no means exhaustive. Some of these mechanisms support the emergence of cooperative behaviour simply because the mechanism is considerably flexible it terms of what it may yield; recall, after all, that the title of Boyd and Richerson’s paper is “punishment allows the evolution of cooperation (or anything else) in sizable groups”.
    [Show full text]
  • Thesis Come from the Following Works
    UvA-DARE (Digital Academic Repository) Play without regret Galeazzi, P. Publication date 2017 Document Version Final published version License Other Link to publication Citation for published version (APA): Galeazzi, P. (2017). Play without regret. General rights It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons). Disclaimer/Complaints regulations If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible. UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl) Download date:06 Oct 2021 Paolo Galeazzi Play Without Regret Play Without Regret Without Play i pska Paolo Galeazzi Paolo Play Without Regret Paolo Galeazzi Play Without Regret ILLC Dissertation Series DS-2017-01 For further information about ILLC-publications, please contact Institute for Logic, Language and Computation Universiteit van Amsterdam Science Park 107 1098 XG Amsterdam phone: +31-20-525 6051 e-mail: [email protected] homepage: http://www.illc.uva.nl/ The investigations were supported by the European Research Council under the European Research Community’s Seventh Framework Programme (FP7/2007- 2013)/ERC Grant agreement no.283963.
    [Show full text]
  • Modelling Religious Signalling
    1 MODELLING RELIGIOUS SIGNALLING A thesis submitted for the degree of Doctor of Philosophy at the Australian National University Carl Joseph Brusse February 2019 © Copyright by Carl Joseph Brusse, 2019 All Rights Reserved 2 3 This thesis is solely the work of its author. No part of it has been submitted for any degree, or is currently being submitted for any other degree. To the best of my knowledge, any help received in preparing this thesis, and all sources used, have been duly acknowledged. 4 5 for Caroline, Alida, and Isobel 6 7 ACKNOWLEDGEMENTS I owe a great debt to my supervisory panel members past and present: Kim Sterelny, Justin Bruner, Rachael Brown, and Ben Fraser, for their deeply insightful commentary and gentle corrective during the various phases of this project. In particular, Kim very much provided both the inspiration for this project and the impetus for venturing to return to philosophy for this PhD candidature. I would not have entered into this without his encouragement, and I certainly would not have made it out the other side without his support and mentorship. Thank you, Kim, for your judgment and generosity, and for your astute, necessity-sensitive application of patience (or lack thereof) when required. Justin too deserves special mention for patiently schooling me in evolutionary game theory and signalling games (despite my sometimes bizarrely misguided intuitions), and in suggesting and contributing to my first simulation projects and our joint paper at the 2016 PSA, published in Philosophy of Science. Being at the School of Philosophy at the ANU, the number of faculty and grad students (local and visiting) who have taken the time to listen and offer valuable insights would be too long to record here.
    [Show full text]
  • Some Dynamics of Signaling Games
    Some dynamics of signaling games Simon Hutteggera, Brian Skyrmsa,1, Pierre Tarrèsb, and Elliott Wagnerc aDepartment of Logic and Philosophy of Science, University of California, Irvine, CA 92697; bDepartment of Mathematics, University of Toulouse, 31000 Toulouse, France; and cDepartment of Philosophy, Kansas State University, Manhattan, KS 66506 Edited by John C. Avise, University of California, Irvine, CA, and approved April 4, 2014 (received for review February 7, 2014) Information transfer is a basic feature of life that includes signal- communication. Costly signaling games are studied in economics, ing within and between organisms. Owing to its interactive na- starting with the Spence game (6), and in biology (e.g., ref. 4). The ture, signaling can be investigated by using game theory. Game Spence game is a model of job market signaling. In a job market, theoretic models of signaling have a long tradition in biology, employers would like to hire qualified job candidates, but the level economics, and philosophy. For a long time the analyses of these of a job candidate’s qualification is not directly observable. In- games has mostly relied on using static equilibrium concepts such stead, a job candidate can send a signal about her qualification to as Pareto optimal Nash equilibria or evolutionarily stable strate- the employer. However, if signals are costless, then job candidates gies. More recently signaling games of various types have been will choose to signal that they are highly qualified regardless of investigated with the help of game dynamics, which includes their qualification. If a signal is more costly for low-quality can- dynamical models of evolution and individual learning.
    [Show full text]
  • Games in the Philosophy of Biology
    Games in the Philosophy of Biology Cailin O'Connor July 20, 2019 2 Chapter 1 Introduction A male peacock mantis shrimp resides happily in his burrow. He has recently molted, leaving his shell soft and vulnerable. As he waits, another male wanders onto his territory and approaches. The new male would like a burrow of his own. Both possess raptorial claws powerful enough to smash through the glass of an aquarium. If they fight for the territory, the temporarily squishy burrow owner will be seriously hurt. Neither, though, can directly observe whether the other has molted recently. Both mantis shrimp raise their appendages to display brightly colored `meral spots', intended to signal their aggression and strength. The intruder is impressed, and backs off to seek territory elsewhere. Alex is looking to hire a new data analyst for his company. Annaleigh wants the job, and so is keen to impress Alex. She includes every accomplishment she can think of on her resume. Since she went to a prestigious college, she makes sure her educational background is front and center where Alex will see it first. A group of vampire bats need to eat nightly to maintain their strength. This is not always easy, however. Sometimes a bat will hunt all night but fail to find a meal. For this reason, most bats in the group have established relationships for reciprocal food sharing. Bats who manage to feed will regurgitate blood for partners who did not. Mitzi needs a kidney transplant, but is too old to go on the normal donor list.
    [Show full text]
  • Chapter 10: Signal Evolution
    Principles of Animal Communication, Second Edition Jack W. Bradbury and Sandra L. Vehrencamp Chapter 10: Signal Evolution Literature Cited 1 Abel, E. L. 1991. Alarm substance emitted by rats in the forced-swim test is a low volatile pheromone. Physiology and Behavior 50: 723–727. 2 Ackerl, K., M. Atzmueller, and K. Grammer. 2002. The scent of fear. Neuroendocrinology Letters 23: 79–84. 3 Adams, E. S. and R. L. Caldwell. 1990. Deceptive communication in asymmetric fights of the stomatopod crustacean Gonodactylus bredini. Animal Behaviour 39: 706–716. 4 Adams, E. S. and M. Mesterton-Gibbons. 1995. The cost of threat displays and the stability of deceptive communication. Journal of Theoretical Biology 175: 405–421. 5 Ahtiainen, J. J., R. V. Alatalo, R. Kortet, and M. J. Rantala. 2004. Sexual advertisement and immune function in an arachnid species (Lycosidae). Behavioral Ecology 15: 602–606. 6 Ahtiainen, J. J., R. V. Alatalo, R. Kortet, and M. J. Rantala. 2006. Immune function, dominance and mating success in drumming male wolf spiders Hygrolycosa rubrofasciata. Behavioral Ecology and Sociobiology 60: 826–832. 7 Al-Hassan, J. M., M. Thomson, K. R. Criddle, B. Summers, and R. S. Criddle. 1985. Catfish epidermal secretions in response to threat or injury: a novel defense response. Marine Biology 88: 117–123. 8 Alcock, J., D. T. Gwynne, and I. R. Dadour. 1989. Acoustic signaling, territoriality, and mating in whistling moths, Hecatesia thyridion (Agaristidae). Journal of Insect Behavior 2: 27–37. 9 Alcock, J. and W. J. Bailey. 1995. Acoustic communication and the mating system of the Australian whistling moth Hecatesia exultans (Noctuidae, Agaristinae).
    [Show full text]
  • List of Glossary Terms
    List of Glossary Terms A Ageofaclusterorfuzzyrule 1054 A correlated equilibrium 3064 Agent 58, 76, 105, 1767, 2578, 3004 Amechanism 1837 Agent architecture 105 Anearestneighbor 790 Agent based models 2940 A social choice function 1837 Agent (or software agent) 2999 A stochastic game 3064 Agent-based computational models 2898 Astrategy 3064 Agent-based model 58 Abelian group 2780 Agent-based modeling 1767 Absolute temperature 940 Agent-based modeling (ABM) 39 Absorbing state 1080 Agent-based simulation 18, 88 Abstract game 675 Aggregation 862 Abstract game of network formation with respect to Aggregation operators 122 irreflexive dominance 2044 Aging 2564, 2611 Abstract game of network formation with respect to path Algebra 2925 dominance 2044 Algebraic models 2898 Accuracy 161, 827 Algorithm 2496 Accuracy (rate) 862 Algorithmic complexity of object x 132 Achievable mate 3235 Algorithmic self-assembly of DNA tiles 1894 Action profile 3023 Allowable set of partners 3234 Action set 3023 Almost equicontinuous CA 914, 3212 Action type 2656 Alphabet of a cellular automaton 1 Activation function 813 ˛-Level set and support 1240 Activator 622 Alternating independent-2-paths 2953 Active membranes 1851 Alternating k-stars 2953 Actors 2029 Alternating k-triangles 2953 Adaptation 39 Amorphous computer 147 Adaptive system 1619 Analog 3187 Additive cellular automata 1 Analog circuit 3260 Additively separable preferences 3235 Ancilla qubits 2478 Adiabatic switching 1998 Anisotropic elements 754 Adjacency matrix 1746, 3114 Annealed law 2564 Adjacent 2864,
    [Show full text]
  • Strategic Inattention in the Sir Philip Sidney Game
    bioRxiv preprint doi: https://doi.org/10.1101/559955; this version posted January 6, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. STRATEGIC INATTENTION IN THE SIR PHILIP SIDNEY GAME By Mark Whitmeyer1 Infamously, the presence of honest communication in a sig- naling environment may be difficult to reconcile with small sig- naling costs or a low degree of common interest between sender and receiver. This paper posits that one mechanism through which such communication can arise is through inattention on the part of the receiver, which allows for honest communication in settings where, should the receiver be fully attentive, hon- est communication would be impossible. We explore this idea through the Sir Philip Sidney game in detail and show that some degree of inattention is always weakly better for the receiver, and may be strictly better. Moreover, some inattention may be a Pareto improvement and leave the sender no worse off. We compare limited attention to Lachmann and Bergstrom's (1998) notion of a signaling medium and show that the receiver-optimal degree of inattention is equivalent to the receiver-optimal choice of medium. Keywords: Costly Signaling, Strategic Inattention, Handicap Theory, Information Design 1Department of Economics, University of Texas at Austin Email: [email protected]. Thanks to Rosemary Hopcroft, Cooper Howes, Ryan Oprea, Jan Schlupp, Joseph Whitmeyer, and Thomas Wiseman. All remaining errors are my own.
    [Show full text]
  • Bayesian Elicitation Arxiv:1902.00976V2 [Econ.TH] 26
    Bayesian Elicitation Mark Whitmeyer∗ January 28, 2020 Abstract How can a receiver design an information structure in order to elicit information from a sender? We study how a decision-maker can acquire more information from an agent by reducing her own ability to observe what the agent transmits. Intuitively, when the two parties’ preferences are not perfectly aligned, this garbling relaxes the sender’s concern that the receiver will use her information to the sender’s disadvantage. We characterize the optimal information structure for the receiver. The main result is that under broad conditions, the receiver can do just as well as if she could commit to a rule mapping the sender’s message to actions: information design is just as good as full commitment. Similarly, we show that these conditions guarantee that ex ante information acquisition always benets the receiver, even though this learning might actually lower the receiver’s expected payo in the absence of garbling. We illustrate these eects in a range of economically relevant examples. arXiv:1902.00976v2 [econ.TH] 26 Jan 2020 Keywords: Costly Signaling, Cheap Talk, Information Design, Bayesian Persuasion JEL Classications: C72; D82; D83 ∗Department of Economics, University of Texas at Austin Email: [email protected]. Thanks to V. Bhaskar, Gleb Domnenko, William Fuchs, Rosemary Hopcroft, Vasudha Jain, Meg Meyer, Vasiliki Skreta, Max Stinchcombe, Yiman Sun, Tymon Tatur, Alex Teytel- boym, Thomas Wiseman, and Joseph Whitmeyer. Thanks also to various seminar and conference audiences. This paper is a shorter version of the job market paper of the same name. 1 Contents 1 Introduction2 2 The Model 14 3 Opacity = Commitment 20 4 The Structure of Optimal Transparency and the Rewards to Ex Ante Learning 28 5 Examples 34 6 Discussion 44 A Section 3 Proofs 48 B Section 4 Proofs 53 C Section 5 (Examples) Derivations 54 1 Introduction In that open eld If you do not come too close, if you do not come too close, On a summer midnight, you can hear the music..
    [Show full text]
  • The Limits of ESS Methodology
    The Limits of ESS Methodology Simon M. Huttegger Kevin J. S. Zollman∗ December 31, 2010 Abstract In this paper we show that there are certain limits as to what applications of Maynard Smith's concept of evolutionarily stable strategy (ESS) can tell us about evolutionary processes. We shall argue that ESS is very similar in spirit to a particular branch of rational choice game theory, namely, the literature on refinements of Nash equilibrium. In the first place, ESS can also be viewed as a Nash equilibrium refinement. At a deeper level, ESS shares a common structure with other rational choice equilibrium refinements. An equilibrium is evaluated according to whether it persists under specific kinds of perturbations. In the case of ESS, these perturbations are mutations. However, from a dynamical point of view, focusing exclusively on perturbations of equilibria provides only a partial account of the system under consideration. We will show that this has important consequences when it comes to analyzing game-theoretic models of evolutionary processes. In particular, there are non-ESS states which are significant for evolutionary dynamics. 1 Introduction Until quite recently, the study of games has developed almost independently in both economics and biology. In both fields, however, focus has been on developing equilibrium refinements { stable states that should be expected to emerge as a result of evolution by natural selection acting on populations of organisms (in biological game theory) or from the \rational" choices individuals (in economics). While one could formalize both the dynamics of natural selection and notions of rationality, the history of game theory has relied more on intuitive characterizations of both rather than mathematically precise definitions.
    [Show full text]
  • An Evolutionary Comparison of the Handicap Principle and Hybrid Equilibrium Theories of Signaling
    RESEARCH ARTICLE An Evolutionary Comparison of the Handicap Principle and Hybrid Equilibrium Theories of Signaling Patrick Kane1, Kevin J. S. Zollman2* 1 Department of Social and Decision Sciences, Carnegie Mellon University, Pittsburgh, PA, United States of America, 2 Department of Philosophy, Carnegie Mellon University, Pittsburgh, PA, United States of America * [email protected] Abstract The handicap principle has come under significant challenge both from empirical studies and from theoretical work. As a result, a number of alternative explanations for honest sig- naling have been proposed. This paper compares the evolutionary plausibility of one such alternative, the “hybrid equilibrium,” to the handicap principle. We utilize computer simula- tions to compare these two theories as they are instantiated in Maynard Smith’s Sir Philip OPEN ACCESS Sidney game. We conclude that, when both types of communication are possible, evolution Citation: Kane P, Zollman KJS (2015) An is unlikely to lead to handicap signaling and is far more likely to result in the partially honest Evolutionary Comparison of the Handicap Principle signaling predicted by hybrid equilibrium theory. and Hybrid Equilibrium Theories of Signaling. PLoS ONE 10(9): e0137271. doi:10.1371/journal. pone.0137271 Editor: Gregorio Moreno-Rueda, Universidad de Granada, SPAIN Received: March 6, 2015 Introduction Accepted: August 16, 2015 Signaling is ubiquitous in the biological world. Signaling interactions are usually divided into one of two types: those which involve common interest—where honest communication is in Published: September 8, 2015 the interest of all parties—and those that involve at least some conflict of interest—where in Copyright: © 2015 Kane, Zollman.
    [Show full text]