Skip to main content

GENERAL COMMENTARY article

Front. Psychol., 04 October 2021
Sec. Evolutionary Psychology
This article is part of the Research Topic The Quest for Symbolic Communication in Non-Human Animals View all 12 articles

Commentary: Why Are No Animal Communication Systems Simple Languages?

\nDustin J. Penn
Dustin J. Penn1*Szabolcs Szmad,Szabolcs Számadó2,3
  • 1Department of Interdisciplinary Life Sciences, Konrad Lorenz Institute of Ethology, University of Veterinary Medicine, Vienna, Austria
  • 2Department of Sociology and Communication, Budapest University of Technology and Economics, Budapest, Hungary
  • 3Center for Social Sciences, Eötvös Loránd Research Network (ELKH), Budapest, Hungary

A Commentary on
Why Are No Animal Communication Systems Simple Languages?

by Beecher, M. D. (2021). Front. Psychol. 12:602635. doi: 10.3389/fpsyg.2021.602635

“Language, too, has apparently evolved only in us: that is to say 40 times less often than eyes. It is surprisingly hard to think of 'good ideas' that have evolved only once.”–Dawkins (2004), p. 592

Ever since Darwin, scientists have sought to understand the origins of human language, which has been called “the hardest problem in science” (see Christiansen and Kirby, 2003; Számadó and Szathmáry, 2006 for review). It is difficult to understand why humans are the only species that evolved language. Beecher (2021), a pioneer in the study of birdsong, recently considered this problem and the implications of animal communication research for the evolution of language. He did a splendid job describing the “design features” of language vs. other animal communication systems. However, his summary of honest signaling theory is inaccurate, and he overlooked gene-culture co-evolution for explaining language.

Beecher first clarifies the design features that make human language different from the communication systems of other species (i.e., semanticity, nearly infinite information capacity, arbitrariness, evolvability via cultural transmission). He then provides a clear explanation for why the communication of other species lacks the key features of a full-fledged language, and examines birdsong as an example. Song birds have vocal learning, a complex vocal repertoire, and hierarchical structuring of vocal signals, but they do not seem to use these capacities to form different songs to represent different meanings (birds do not transmit different messages with different songs; they do not seem to create new meanings by recombining words into sentences). Birdsong has complexity, but not infinite information capacity. He convincingly argues that animal vocalizations do not function like language.

He then examines the debates over the “fundamental nature of animal communication,” and whether animal signals are honest or manipulative; but this summary is not completely accurate. Dawkins and Krebs (1978) challenged the widespread assumption that animal signals are always honest and function to provide information per se, and pointed out that their function is to influence conspecifics, which can include persuasion, deception, and manipulation. Some have mistakenly pitted information against influence (Rendall et al., 2009), which are not alternatives; signals can be influential because they inform—or misinform. The main issue at stake here is whether we should expect signals to be honest, but contrary to what Beecher assumes, there is no theoretical justification for the idea that they should be honest on average. Animals should evolve sales resistance to avoid manipulation, as he points out, but there are many examples of deception, and the amount deception can be high in theoretical models.

Beecher argues that the handicap principle will maintain some degree of honesty in any signaling system, even though it is “still being subjected to further modification and clarification” (p. 10), and cites our recent review (i.e., Penn and Számadó, 2020). However, we argue that the handicap principle needs to be fully rejected, not modified. The handicap principle is the idea that signals are honest because they are costly to produce, and it assumes that signals are costly is to demonstrate that they are honest. Its logic is circular and non-Darwinian (costly traits evolve despite and not because of their costs), and since theoretical models have shown that signaling costs are not not necessary to maintain honesty (see below), this idea can and should be rejected.

Beecher states that the handicap principle was formalized by Grafen's (1990) model, but this is not a handicap model and it never was. Grafen never showed that signals will be wasteful at the equilibrium, and his equations do not support his handicap interpretation, as they show the necessity of differential marginal costs, and not the necessity of equilibrium costs for honest signaling. Yet, it is not the equilibrium cost of signals (a.k.a. handicaps) that maintain honesty, but the potential cost of cheating (i.e., ratio of marginal benefit to marginal cost for potential cheaters, see Hurd, 1995; Lachmann et al., 2001; Bergstrom et al., 2002). Neither the handicap principle nor Grafen's “main handicap results” are supported by theoretical models or empirical results (see Számadó, 2011; Penn and Számadó, 2020). Beecher suggests that some studies on peacocks provide “a clear illustration of the predictions generated by the handicap principle, and how they should be tested.” He is actually referring to Grafen's model rather than the handicap principle, but neither were tested in these studies. Also, Grafen's model is not as general as Beecher assumes, and it is unclear that it can explain signal reliability (e.g., see Nöldeke and Samuelson, 2003).

The handicap principle has generated enormous confusion due to its dressing up a non-Darwinian idea (handicaps) as a Darwinian theory and scientific principle. It misled a generation of biologists into attempting to measure the equilibrium cost of signals, which is uninformative, instead of measuring the marginal costs and marginal fitness benefits of signals. Animal communication can be described and analyzed in terms of evolutionary life-history trade-offs, without imposing the confusing language of the handicap paradigm.

Finally, Beecher argues that the key ingredient for the evolution of language is zero conflict of interest between sender and receiver. We humans are exceptional for our capacity to cooperate with strangers (Maynard Smith and Szathmáry, 1995); but we are far from zero conflict. Our species' success seems to be due to our ability to cooperate in large numbers toward common goals, which undoubtedly requires language. It is unclear, however, whether cooperation drove the evolution of language or vice versa. It is difficult to see how one might determine which came first (but see Számadó, 2010), and they likely co-evolved. Darwin (1871) proposed that languages evolve like living organisms, and gene-culture co-evolutionary theory provides important insights into how language and cooperation can influence each other's evolution (e.g., Pinker and Bloom, 1990; Richerson and Boyd, 1999; Számadó and Szathmáry, 2012; see concise summary in Richerson et al., 2021). As language and cooperation evolved, they may have generated positive feedback with each other (e.g., Számadó, 2010). Language likely allowed our ancestors to cooperate, and helped to resolve conflicts by exchanging information, though this includes invented fictions, social constructions, and other imagined realities (Harari, 2014). Honest communication is corruptible, as long as there are conflicts of interest (Dawkins and Guilford, 1991). Yet, for language to function as it does, it need not be completely reliable (and clearly it is not) and conflicts need not be zero; it only needs to facilitate communication.

Author Contributions

DP and SS wrote the commentary. All authors contributed to the article and approved the submitted version.

Funding

DP acknowledges support from the Austrian Science Fund (AT): P28141-B25 of the Austrian Science Foundation. SS was supported by OTKA grant K132250, and by the European Structural Investment Funds (ESIF) in Hungary (GINOP) 2.3.2-15-2016-00057. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher's Note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Acknowledgments

We thank S. Zala and the five reviewers for comments and R. Hengsberger for assistance.

References

Beecher, M. D. (2021). Why are no animal communication systems simple languages? Front. Psych. 12:602635. doi: 10.3389/fpsyg.2021.602635

PubMed Abstract | CrossRef Full Text | Google Scholar

Bergstrom, C. T., Számad,ó, S., and Lachmann, M. (2002). Separating equilibria in continuous signalling games. Phil. Trans. R. Soc. Lond. B 357, 1595–1606. doi: 10.1098/rstb.2002.1068

PubMed Abstract | CrossRef Full Text | Google Scholar

Christiansen, M. H., and Kirby, S. (2003). “Language evolution: the hardest problem in science?,” in Language Evolution, eds. M. H. Christiansen and S. Kirby (Oxford; New York, NY: Oxford University Press). doi: 10.1093/acprof:oso/9780199244843.001.0001

CrossRef Full Text | Google Scholar

Darwin, C. (1871). The Descent of Man, and Selection in Relation to Sex. London: John Murray. doi: 10.5962/bhl.title.2092

CrossRef Full Text | Google Scholar

Dawkins, M. S., and Guilford, T. (1991). The corruption of honest signalling. Anim. Behav. 41, 865–874. doi: 10.1016/S0003-3472(05)80353-7

CrossRef Full Text | Google Scholar

Dawkins, R. (2004). The Ancestor's Tale. A Pilgrimage to the Dawn of Evolution. Boston, MA: Houghton Mifflin.

Dawkins, R., and Krebs, J. R. (1978). “Animal signals: information or manipulation?,” in Behavioural Ecology. An Evolutionary Approach, eds. J. R. Krebs and N. B. Davies (Oxford: Blackwell), 282–309.

Grafen, A. (1990). Biological signals as handicaps. J. Theor. Biol. 144, 517–546. doi: 10.1016/S0022-5193(05)80088-8

PubMed Abstract | CrossRef Full Text | Google Scholar

Harari, Y. N. (2014). Sapiens: a Brief History of Humankind. London: Harvill Secker.

Hurd, P. L. (1995). Communication in discrete action-response games. J. Theor. Biol. 174, 217–222. doi: 10.1006/jtbi.1995.0093

CrossRef Full Text | Google Scholar

Lachmann, M., Számado, S., and Bergstrom, C. T. (2001). Cost and conflict in animal signals and human language. Proc. Natl. Acad. Sci. U.S.A. 98, 13189–13194. doi: 10.1073/pnas.231216498

PubMed Abstract | CrossRef Full Text | Google Scholar

Maynard Smith, J., and Szathmáry, E. (1995). The Major Transitions in Evolution. Oxford, New York, Heidelberg: W.H. Freeman - Spektrum.

Nöldeke, G., and Samuelson, L. (2003). Strategic choice handicaps when females seek high male net viability. J. Theor. Biol. 221, 53–59. doi: 10.1006/jtbi.2003.3169

PubMed Abstract | CrossRef Full Text | Google Scholar

Penn, D. J., and Számadó, S. (2020). The Handicap Principle: how an erroneous hypothesis became a scientific principle. Biol. Rev. 95, 267–290. doi: 10.1111/brv.12563

PubMed Abstract | CrossRef Full Text | Google Scholar

Pinker, S., and Bloom, P. (1990). Natural language and natural selection. Behav. Brain Sci. 13, 707–727. doi: 10.1017/S0140525X00081061

CrossRef Full Text | Google Scholar

Rendall, D., Owren, M. J., and Ryan, M. J. (2009). What do animal signals mean? Anim. Behav. 78, 233–240. doi: 10.1016/j.anbehav.2009.06.007

CrossRef Full Text | Google Scholar

Richerson, P. J., and Boyd, R. (1999). Complex societies. the evolutionary origins of a crude superorganism. Hum. Nat. 10, 253–289. doi: 10.1007/s12110-999-1004-y

PubMed Abstract | CrossRef Full Text | Google Scholar

Richerson, P. J., Gavrilets, S., and de Waal, F. B. M. (2021). Modern theories of human evolution foreshadowed by Darwin's Descent of Man. Science 372:eaba3776. doi: 10.1126/science.aba3776

PubMed Abstract | CrossRef Full Text | Google Scholar

Számadó, S. (2010). Pre-hunt communication provides context for the evolution of early human language. Biol. Theory 5, 366–382. doi: 10.1162/BIOT_a_00064

CrossRef Full Text | Google Scholar

Számadó, S. (2011). The cost of honesty and the fallacy of the handicap principle. Anim. Behav. 81, 3–10. doi: 10.1016/j.anbehav.2010.08.022

CrossRef Full Text | Google Scholar

Számadó, S., and Szathmáry, E. (2006). Selective scenarios for the emergence of natural language. Trends Ecol. Evol. 21, 555–561. doi: 10.1016/j.tree.2006.06.021

PubMed Abstract | CrossRef Full Text | Google Scholar

Számadó, S., and Szathmáry, E. (2012). “Evolutionary biological foundations of the origin of language: the co-evolution of language and brain,” in The Oxford Handbook of Language Evolution, eds. K. R. Gibson and M. Tallerman (Oxford: Oxford University Press), 157–167. doi: 10.1093/oxfordhb/9780199541119.013.0014

CrossRef Full Text | Google Scholar

Keywords: language, human evolution, animal communication, handicap principle, gene-culture co-evolution

Citation: Penn DJ and Számadó S (2021) Commentary: Why Are No Animal Communication Systems Simple Languages? Front. Psychol. 12:722685. doi: 10.3389/fpsyg.2021.722685

Received: 09 June 2021; Accepted: 07 September 2021;
Published: 04 October 2021.

Edited by:

Wei Chen, Shaoxing University, China

Reviewed by:

Zhanna Reznikova, Institute of Systematics and Ecology of Animals (RAS), Russia
Gisela - Kaplan, University of New England, Australia
Michael Charles Corballis, The University of Auckland, New Zealand
Gillian Forrester, Birkbeck, University of London, United Kingdom
Slawomir Wacewicz, Nicolaus Copernicus University in Toruń, Poland

Copyright © 2021 Penn and Számadó. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Dustin J. Penn, dustin.penn@vetmeduni.ac.at

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.