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Reflexivity, Functional Reference, and Modularity: Alternative Targets for Language Origins

Published online by Cambridge University Press:  01 January 2022

Abstract

Researchers of language origins typically try to explain how compositional communication might evolve to bridge the gap between animal communication and natural language. However, as an explanatory target, compositionality has been shown to be problematic for a gradualist approach to the evolution of language. In this article, I suggest that reflexivity provides an apt and plausible alternative target that does not succumb to the problems that compositionality faces. I further explain how protoreflexivity, which depends on functional reference, gives rise to complex communication systems via modular composition.

Type
Biological Sciences
Copyright
Copyright 2021 by the Philosophy of Science Association. All rights reserved.

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Footnotes

This article is based on my dissertation defense, which took place in March 2020 at the University of California, Irvine. Since this research is indebted to that larger project, many thanks are in order, especially to Jeffrey A. Barrett, Yoshua Bengio, Brian Skyrms, Simon Huttegger, Josh Armstrong, Cailin O’Connor, Aydin Mohseni, Daniel Herrmann, and many others. Thanks also to the Schwartz Reisman Institute at the University of Toronto for partially funding this research and to Mila—Québec Artificial Intelligence Institute for providing generous resources.

References

Barrett, H. C., and Kurzban, R.. 2006. “Modularity in Cognition: Framing the Debate.” Psychological Review 113 (3): 628–47.10.1037/0033-295X.113.3.628CrossRefGoogle ScholarPubMed
Barrett, J. A. 2020. “Self-Assembling Games and the Evolution of Salience.” British Journal for the Philosophy of Science, forthcoming.10.1086/714789CrossRefGoogle Scholar
Barrett, J. A., and Skyrms, B.. 2017. “Self-Assembling Games.” British Journal for the Philosophy of Science 68 (2): 329–53.10.1093/bjps/axv043CrossRefGoogle Scholar
Barrett, J. A., Skyrms, B., and Cochran, C.. 2020. “On the Evolution of Compositional Language.” Philosophy of Science 87 (5): 910–20.10.1086/710367CrossRefGoogle Scholar
Berwick, R. C., and Chomsky, N.. 2011. “The Biolinguistic Program: The Current State of its Development.” In The Biolinguistic Enterprise: New Perspectives on the Evolution and Nature of the Human Language Faculty, ed. Sciullo, A. M. D. and Boeckx, C., 1941. Oxford: Oxford University Press.Google Scholar
Bickerton, D. 1990. Language and Species. Chicago: University of Chicago Press.10.7208/chicago/9780226220949.001.0001CrossRefGoogle Scholar
Blough, D. S. 1959. “Delayed Matching in the Pigeon.” Journal of the Experimental Analysis of Behavior 2 (2): 151–60.10.1901/jeab.1959.2-151CrossRefGoogle ScholarPubMed
Bonte, É., Kemp, C., and Fagot, J.. 2014. “Age Effects on Transfer Index Performance and Executive Control in Baboons (Papio papio).” Frontiers in Psychology 5:188.Google Scholar
Cangelosi, A., and Parisi, D.. 2002. “Computer Simulation: A New Scientific Approach to the Study of Language Evolution.” In Simulating the Evolution of Language, 328. London: Springer.10.1007/978-1-4471-0663-0_1CrossRefGoogle Scholar
Carruthers, P. 2002. “The Cognitive Functions of Language.” Behavioral and Brain Sciences 25 (3): 657725.10.1017/S0140525X02000122CrossRefGoogle ScholarPubMed
Coltheart, M. 1999. “Modularity and Cognition.” Trends in Cognitive Sciences 3 (3): 115–20.10.1016/S1364-6613(99)01289-9CrossRefGoogle ScholarPubMed
Dawkins, R., and Krebs, J. R.. 1978. “Animal Signals: Information or Manipulation?” In Behavioural Ecology, ed. Krebs, J. R. and Davies, N. B., 282309. Oxford: Blackwell.Google Scholar
de Walle, G. A. V., Carey, S., and Prevor, M.. 2001. “Bases for Object Individuation in Infancy: Evidence from Manual Search.” Journal of Cognition and Development 1 (3): 249–80.Google Scholar
Ellis, H. C. 1965. The Transfer of Learning. New York: Macmillan.Google Scholar
Fagot, J., Wasserman, E. A., and Young, M. E.. 2001. “Discriminating the Relation between Relations: The Role of Entropy in Abstract Conceptualization by Baboons (Papio papio) and Humans (Homo sapiens.Journal of Experimental Psychology: Animal Behavior Processes 27 (4): 316–28.Google ScholarPubMed
Feigenson, L., Carey, S., and Spelke, E. S.. 2002. “Infants’ Discrimination of Number vs. Continuous Extent.” Cognitive Psychology 44 (1): 3336.10.1006/cogp.2001.0760CrossRefGoogle ScholarPubMed
Ferster, C. B. 1960. “Intermittent Reinforcement of Matching to Sample in the Pigeon.” Journal of the Experimental Analysis of Behavior 3 (3): 259–72.10.1901/jeab.1960.3-259CrossRefGoogle ScholarPubMed
Fitch, W. T. 2017. “Empirical Approaches to the Study of Language Evolution.” Psychonomic Bulletin and Review 24 (1): 333.10.3758/s13423-017-1236-5CrossRefGoogle Scholar
Flemming, T. M., Thompson, R. K. R., Beran, M. J., and Washburn, D. A.. 2011. “Analogical Reasoning and the Differential Outcome Effect: Transitory Bridging of the Conceptual Gap for Rhesus Monkeys (Macaca mulatta).” Journal of Experimental Psychology: Animal Behavior Processes 37 (3): 353–60.Google Scholar
Fodor, J. 1983. The Modularity of Mind. Cambridge, MA: MIT Press.10.7551/mitpress/4737.001.0001CrossRefGoogle Scholar
Fodor, J.. 2000. The Mind Doesn’t Work That Way. Cambridge, MA: MIT Press.10.7551/mitpress/4627.001.0001CrossRefGoogle Scholar
Hauser, M. D., Chomsky, N., and Fitch, W. T.. 2002. “The Faculty of Language: What Is It, Who Has It, and How Did It Evolve?Science 298:1569–79.10.1126/science.298.5598.1569CrossRefGoogle ScholarPubMed
Hockett, C. F. 1960. “The Origin of Speech.” Scientific American 203:88111.10.1038/scientificamerican0960-88CrossRefGoogle Scholar
Hung, W. 2013. “Problem-Based Learning: A Learning Environment for Enhancing Learning Transfer.” New Directions for Adult and Continuing Education 137:2738.10.1002/ace.20042CrossRefGoogle Scholar
Hurford, J. R. 2007. Language in the Light of Evolution I: The Origins of Meaning. Oxford: Oxford University Press.Google Scholar
Jackendoff, R. S. 1999. “Possible Stages in the Evolution of the Language Capacity.” Trends in Cognitive Sciences 3:272–79.10.1016/S1364-6613(99)01333-9CrossRefGoogle ScholarPubMed
Katz, J. S., Wright, A. A., and Bachevalier, J.. 2002. “Mechanisms of Same/Different Abstract-Concept Learning by Rhesus Monkeys (Macaca mulatta).” Journal of Experimental Psychology: Animal Behavior Processes 28 (4): 358–68.Google Scholar
Kight, C. R., McNamara, J. M., Stephens, D. W., and Dall, S. R. X.. 2013. “Communication as Information Use: Insights from Statistical Decision Theory.” In Stegmann 2013, 89112.Google Scholar
Koechlin, E., Dehaene, S., and Mehler, J.. 1998. “Numerical Transformations in Five-Month-Old Human Infants.” Mathematical Cognition 3 (2): 89104.10.1080/135467997387425CrossRefGoogle Scholar
LaCroix, T. 2019a. “Biology and Compositionality: Empirical Considerations for Emergent-Communication Protocols.” Presented at the Emergent Communication Workshop at Neural Information Processing Systems.Google Scholar
LaCroix, T.. 2019b. “Using Logic to Evolve More Logic: Composing Logical Operators via Self-Assembly.” British Journal for the Philosophy of Science, forthcoming.10.1093/bjps/axz049CrossRefGoogle Scholar
LaCroix, T.. 2020a. “Accounting for Polysemy and Role Asymmetry in the Evolution of Compositional Signals.” Unpublished manuscript, Mila.Google Scholar
LaCroix, T.. 2020b. “Complex Signals: Reflexivity, Hierarchical Structure, and Modular Composition.” PhD diss., University of California, Irvine.Google Scholar
LaCroix, T.. 2020c. “The Correction Game; or, How Pre-evolved Communicative Dispositions Might Affect Communicative Dispositions.” Unpublished manuscript, Mila.Google Scholar
Lewis, D. 1969/2002. Convention: A Philosophical Study. Oxford: Blackwell.Google Scholar
Macedonia, J. M., and Evans, C. S.. 1993. “Variation among Mammalian Alarm Call Systems and the Problem of Meaning in Animal Signals.” Ethology 93:177–97.Google Scholar
Martinez, P. 2018. “The Comparative Method in Biology and the Essentialist Trap.” Frontiers in Ecology and Evolution 6 (130): 15.10.3389/fevo.2018.00130CrossRefGoogle Scholar
Progovac, L. 2015. Evolutionary Syntax. Oxford: Oxford University Press.10.1093/acprof:oso/9780198736547.001.0001CrossRefGoogle Scholar
Pugh, K. J., and Bergin, D. A.. 2006. “Motivational Influences on Transfer.” Educational Psychologist 41 (3): 147–60.10.1207/s15326985ep4103_2CrossRefGoogle Scholar
Resnik, D. B. 1991. “How-Possibly Explanations in Biology.” Acta Biotheoretica 39 (2): 141–49.10.1007/BF00046596CrossRefGoogle Scholar
Robbins, P. 2017. “Modularity of Mind.” In Stanford Encyclopedia of Philosophy, ed. Zalta, Edward N.. Stanford, CA: Stanford University. https://plato.stanford.edu/entries/modularity-mind/.Google Scholar
Rumbaugh, D. M. 1970. “Learning Skills of Anthropoids.” In Primate Behavior: Developments in Field and Laboratory Research, ed. Rosenblum, L., 270. New York: Aldine.Google Scholar
Rumbaugh, D. M.. 1971. “Evidence of Qualitative Differences in Learning Processes among Primates.” Journal of Comparative and Physiological Psychology 76 (2): 250–55.10.1037/h0031401CrossRefGoogle ScholarPubMed
Rumbaugh, D. M.. 1995. “Primate Language and Cognition: Common Ground.” Social Research 62 (3): 711–30.Google Scholar
Rumbaugh, D. M., and Pate, J. L.. 1984a. “The Evolution of Cognition in Primates: A Comparative Perspective.” In Animal Cognition, ed. Roitblat, H., Bever, T. G., and Terrace, H. S., 569–87. Hillsdale, NJ: Erlbaum.Google Scholar
Rumbaugh, D. M., and Pate, J. L.. 1984b. “Primates’ Learning by Levels.” In Behavioral Evolution and Integrative Levels, ed. Greenberg, G. and Tobach, E., 221–40. Hillsdale, NJ: Erlbaum.Google Scholar
Scarantino, A. 2013. “Rethinking Functional Reference.” Philosophy of Science 80 (5): 1006–18.10.1086/673900CrossRefGoogle Scholar
Seyfarth, R. M., Cheney, D. L., and Marler, P.. 1980. “Vervet Monkey Alarm Calls: Semantic Communication in a Free-Ranging Primate.” Animal Behaviour 28 (4): 1070–94.10.1016/S0003-3472(80)80097-2CrossRefGoogle Scholar
Sherry, D. F., and Schacter, D. L.. 1987. “The Evolution of Multiple Memory Systems.” Psychological Review 94 (4): 439–54.10.1037/0033-295X.94.4.439CrossRefGoogle Scholar
Shettleworth, S. J. 2012. “Modularity, Comparative Cognition and Human Uniqueness.” Philosophical Transactions of the Royal Society B 367 (1603): 2794–802.Google ScholarPubMed
Sievers, C., and Gruber, T.. 2016. “Reference in Human and Non-human Primate Communication: What Does It Take to Refer?Animal Cognition 19 (4): 759–68.10.1007/s10071-016-0974-5CrossRefGoogle ScholarPubMed
Skinner, B. F. 1950. “Are Theories of Learning Necessary?Psychological Review 57:193216.10.1037/h0054367CrossRefGoogle ScholarPubMed
Skyrms, B. 2010a. “The Flow of Information in Signaling Games.” Philosophical Studies 147 (1): 155–65.10.1007/s11098-009-9452-0CrossRefGoogle Scholar
Skyrms, B.. 2010b. Signals: Evolution, Learning, and Information. Oxford: Oxford University Press.10.1093/acprof:oso/9780199580828.001.0001CrossRefGoogle Scholar
Spelke, E. S. 1998. “Nativism, Empiricism, and the Origins of Knowledge.” Infant Behavior and Development 21 (2): 181200.10.1016/S0163-6383(98)90002-9CrossRefGoogle Scholar
Spelke, E. S.. 2003. “What Makes Us Smart? Core Knowledge and Natural Language.” In Language in Mind: Advances in the Investigation of Language and Thought, ed. Gentner, D. and Goldin-Meadow, S., 277311. Cambridge, MA: MIT Press.Google Scholar
Sperber, D. 1994. “The Modularity of Thought and the Epidemiology of Representations.” In Mapping the Mind, ed. Hirschfeld, L. A. and Gelman, S. A., 3967. Cambridge: Cambridge University Press.10.1017/CBO9780511752902.003CrossRefGoogle Scholar
Sperber, D.. 2002. “In Defense of Massive Modularity.” In Language, Brain, and Cognitive Development, ed. Dupoux, I., 4757. Cambridge, MA: MIT Press.Google Scholar
Stegmann, U. E. 2013. Animal Communication Theory: Information and Influence. Cambridge: Cambridge University Press.10.1017/CBO9781139003551CrossRefGoogle Scholar
Thompson, R. K. R., and Oden, D. L.. 2000. “Categorical Perception and Conceptual Judgments by Non-human Primates: The Paleological Monkey and the Analogical Ape.” Cognitive Science: A Multidisciplinary Journal 24 (3): 363–96.10.1207/s15516709cog2403_2CrossRefGoogle Scholar
Wasserman, E. A., Young, M. E., and Fagot, J.. 2001. “Effects of Number of Items on the Baboon’s Discrimination of Same from Different Visual Displays.” Animal Cognition 4 (3–4): 163–70.10.1007/s100710100095CrossRefGoogle ScholarPubMed
Wynn, K. 1998. “Psychological Foundations of Number: Numerical Competence in Human Infants.” Trends in Cognitive Sciences 2 (8): 296303.10.1016/S1364-6613(98)01203-0CrossRefGoogle ScholarPubMed
Zuberbühler, K., Cheney, D. L., and Seyfarth, R. M.. 1999. “Conceptual Semantics in a Non-human Primate.” Journal of Comparative Psychology 113 (1): 3342.10.1037/0735-7036.113.1.33CrossRefGoogle Scholar