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On the Evolution of Compositional Language

Published online by Cambridge University Press:  01 January 2022

Jeffrey A. Barrett ,
Calvin Cochran  and
Brian Skyrms
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Abstract

We present here a hierarchical model for the evolution of compositional language. The model has the structure of a two-sender/one-receiver Lewis signaling game augmented with executive agents who may learn to influence the behavior of the basic senders and receiver. The model shows how functional agents might coevolve representational roles even as they evolve a reliable compositional language in the context of costly signaling. When successful, the evolved language captures both the compositional structure of properties in the world and the compositional structure of successful actions involving those properties.

Type
Formal Epistemology and Game Theory
Information
Philosophy of Science , Volume 87 , Issue 5: PSA 2018 - Proceedings of the 2018 biennial meeting of the Philosophy of Science Association. Part II Symposia Papers , December 2020 , pp. 910 - 920
Copyright
Copyright © The Philosophy of Science Association

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Footnotes

Correction: This article was reposted on December 24, 2020, to replace figure 4 and change “interested” to “uninterested” in footnote 1.

References

Argiento, R., Pemantle, R., Skyrms, B., and Volkov, S.. 2009. “Learning to Signal: Analysis of a Micro-Level Reinforcement Model.” Stochastic Processes and Their Applications 119 (2): 373–90.CrossRefGoogle Scholar
Arnold, Kate, and Zuberbühler, Klaus. 2006. “The Alarm-Calling System of Adult Male Putty-Nosed Monkeys, Cercopithecus Nictitans Martini.” Animal Behaviour 72:643–53.CrossRefGoogle Scholar
Arnold, Kate, and Zuberbühler, Klaus. 2008. “Meaningful Call Combinations in a Non-human Primate.” Current Biology 18 (5): R202–R203.CrossRefGoogle Scholar
Barrett, J. A. 2006. “Numerical Simulations of the Lewis Signaling Game: Learning Strategies, Pooling Equilibria, and the Evolution of Grammar.” Paper no. 54, Institute for Mathematical Behavioral Sciences. http://repositories.cdlib.org/imbs/54.Google Scholar
Barrett, J. A.. 2007. “Dynamic Partitioning and the Conventionality of Kinds.” Philosophy of Science 74:527–46.CrossRefGoogle Scholar
Barrett, J. A.. 2013. “The Evolution of Simple Rule-Following.” Biological Theory 8 (2): 142–50.CrossRefGoogle Scholar
Barrett, J. A., and Skyrms, B.. 2017. “Self-Assembling Games.” British Journal for the Philosophy of Science 68 (2): 329–53.CrossRefGoogle Scholar
Barrett, J. A., Skyrms, B., and Cochran, C.. 2018. “Hierarchical Models for the Evolution of Compositional Language.” Technical Report MBS 18-03, Institute for Mathematical Behavioral Sciences, University of California, Irvine.Google Scholar
Barrett, J. A., Skyrms, B., and Mohseni, A.. 2019. “Self-Assembling Networks.” British Journal for the Philosophy of Science 70 (1): 301–25.CrossRefGoogle Scholar
Barrett, J. A., and Zollman, K.. 2009. “The Role of Forgetting in the Evolution and Learning of Language.” Journal of Experimental and Theoretical Artificial Intelligence 21 (4): 293–309.CrossRefGoogle Scholar
Erev, I., and Roth, A. E.. 1998. “Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria.” American Economic Review 88:848–81.Google Scholar
Franke, M. 2014. “Creative Compositionality from Reinforcement.” In The Evolution of Language: Proceedings of the 10th International Conference, ed. Cartmill, E. A., Roberts, S., Lyn, H., and Cornish, H., 82–89. Singapore: World Scientific.CrossRefGoogle Scholar
Frederiksen, J. K., and Slobodchikoff, C. N.. 2007. “Referential Specificity in the Alarm Calls of the Black-Tailed Prairie Dog.” Ethology, Ecology and Evolution 19:87–99.CrossRefGoogle Scholar
Herrnstein, R. J. 1970. “On the Law of Effect.” Journal of the Experimental Analysis of Behavior 13:243–66.CrossRefGoogle ScholarPubMed
Hofbauer, J., and Huttegger, S.. 2008. “Feasibility of Communication in Binary Signaling Games.” Journal of Theoretical Biology 254 (4): 843–49.CrossRefGoogle ScholarPubMed
Hu, Y., Skyrms, B., and Tarrès, P.. 2011. “Reinforcement Learning in a Signaling Game.” Unpublished manuscript, arXiv, Cornell University. https://arxiv.org/abs/1103.5818.Google Scholar
Huttegger, S., Skyrms, B., Tarrès, P., and Wagner, E.. 2014. “Some Dynamics of Signaling Games.” Proceedings of the National Academy of Sciences 111 (S3): 10873–80.CrossRefGoogle ScholarPubMed
Lewis, D. 1969. Convention. Cambridge, MA: Harvard University Press.Google Scholar
Manser, M., Seyfarth, R., and Cheney, D.. 2002. “Suricate Alarm Calls Signal Predator Class and Urgency.” Trends in Cognitive Science 6 (2): 55–57.CrossRefGoogle ScholarPubMed
Maynard Smith, J. 1965. “The Evolution of Alarm Calls.” American Naturalist 99:59–63.CrossRefGoogle Scholar
Ouattaraa, K., Lemassona, A., and Zuberbühler, K.. 2009. “Campbell’s Monkeys Concatenate Vocalizations into Context-Specific Call Sequences.” Proceedings of the National Academy of Sciences of the USA 106 (51): 22026–31.CrossRefGoogle Scholar
Roth, A. E., and Erev, I.. 1995. “Learning in Extensive Form Games: Experimental Data and Simple Dynamical Models in the Immediate Term.” Games and Economic Behavior 8:164–212.CrossRefGoogle Scholar
Searcy, W. A., and Nowicki, S.. 2006. The Evolution of Animal Communication: Reliability and Deception in Signaling Systems. Princeton, NJ: Princeton University Press.Google Scholar
Sherman, P. W. 1977. “Nepotism and the Evolution of Alarm Calls.” Science 197:1246–53.CrossRefGoogle ScholarPubMed
Skyrms, B. 2006. “Signals.” Philosophy of Science 75 (5): 489–500.CrossRefGoogle Scholar
Skyrms, B.. 2009. “Evolution of Signaling Systems with Multiple Senders and Receivers.” Philosophical Transactions of the Royal Society B 364 (1518): 771–79.Google Scholar
Skyrms, B.. 2010. Signals: Evolution, Learning, and Information. New York: Oxford University Press.CrossRefGoogle Scholar
Slobodchikoff, C. N., Paseka, A., and Verdolin, J. L.. 2009. “Prairie Dog Alarm Calls Encode Labels about Predator Colors.” Animal Cognition 12:435–39.CrossRefGoogle ScholarPubMed
Steinert-Threlkeld, Shane. 2016. “Compositional Signaling in a Complex World.” Journal of Logic, Language and Information 25 (3–4): 379–97.CrossRefGoogle Scholar
Suzuki, Toshitaka N., Wheatcroft, David, and Griesser, Michael. 2016. “Experimental Evidence for Compositional Syntax in Bird Calls.” Nature Communications 7, art. 10986. https://doi.org/10.1038/ncomms10986.CrossRefGoogle ScholarPubMed
Zehavi, A., and Zavahi, A.. 1997. The Handicap Principle: A Missing Piece of Darwin’s Puzzle. Oxford: Oxford University Press.Google Scholar