Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Part I Two perspectives
- 1 The Mirror System Hypothesis on the linkage of action and languages
- 2 The origin and evolution of language: a plausible, strong-AI account
- Part II Brain, evolution, and comparative analysis
- Part III Dynamic systems in action and language
- Part IV From mirror system to syntax and Theory of Mind
- Part V Development of action and language
- Index
- References
2 - The origin and evolution of language: a plausible, strong-AI account
Published online by Cambridge University Press: 01 September 2009
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Book contents
- Frontmatter
- Contents
- List of contributors
- Preface
- Part I Two perspectives
- 1 The Mirror System Hypothesis on the linkage of action and languages
- 2 The origin and evolution of language: a plausible, strong-AI account
- Part II Brain, evolution, and comparative analysis
- Part III Dynamic systems in action and language
- Part IV From mirror system to syntax and Theory of Mind
- Part V Development of action and language
- Index
- References
Summary
Framework
In this chapter I show in outline how human language as we know it could have evolved incrementally from mental capacities it is reasonable to attribute to lower primates and other mammals. I do so within the framework of a formal computational theory of language understanding (Hobbs et al., 1993). In the first section I describe some of the key elements in the theory, especially as it relates to the evolution of linguistic capabilities. In the next two sections I describe plausible incremental paths to two key aspects of language − meaning and syntax. In the final section I discuss various considerations of the time course of these processes.
Strong AI
It is desirable for psychology to provide a reduction in principle of intelligent, or intentional, behavior to neurophysiology. Because of the extreme complexity of the human brain, more than the sketchiest account is not likely to be possible in the near future. Nevertheless, the central metaphor of cognitive science, “The brain is a computer,” gives us hope. Prior to the computer metaphor, we had no idea of what could possibly be the bridge between beliefs and ion transport. Now we have an idea. In the long history of inquiry into the nature of mind, the computer metaphor gives us, for the first time, the promise of linking the entities and processes of intentional psychology to the underlying biological processes of neurons, and hence to physical processes.
Information
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- Chapter
- Information
- Action to Language via the Mirror Neuron System , pp. 48 - 88Publisher: Cambridge University PressPrint publication year: 2006
References
Akmajian, A., and Kitagawa, C. 1974. Pronominalization, Relativization, and Thematization: Interrelated systems of Coreference in Japanese and English. Bloomington, IN: Indiana University Linguistics Club.
Arbib, M. A., 2002. The mirror system, imitation, and the evolution of language. In and (eds.) Imitation in Animals and Artifacts. Cambridge, MA: MIT Press, pp. 229–280.Google Scholar
2005. From monkey-like action recognition to human language: an evolutionary framework for neurolinguistics. Behavi. Brain Sci. 28: 105–167.CrossRefGoogle ScholarPubMed
Barber, E. J. W., and Peters A. M. W., 1992. Ontogeny and phylogeny: what child language and archaeology have to say to each other. In and (eds.) The Evolution of Human Languages. Reading, MA: Addison-Wesley, pp. 305–352.Google Scholar
Bickerton, D. 2003. Symbol and structure: a comprehensive framework for language evolution. In and (eds.) Language Evolution. Oxford, UK: Oxford University Press, pp. 77–93.CrossRefGoogle ScholarPubMed
, , , et al., 2003. Les premiers comportements funéraires auraient-ils pris place à Atapuerca, il y a 350 000 ans?L'Anthropologie 107: 1–14.CrossRefGoogle Scholar
Clark, H., 1975. Bridging. In Proceedings of Conference on Theoretical Issues in Natural Language Processing. Cambridge, MA: pp. 169–174.
, 1981. Language Universals and Linguistic Typology. Chicago, IL: University of Chicago Press.Google Scholar
Davidson, I., 2003. The archaeological evidence for language origins: states of art. In and (eds.) Language Evolution. Oxford, UK: Oxford University Press, pp. 140–157.CrossRefGoogle ScholarPubMed
, and , 2001. Temporal binding and the neural correlates of sensory awareness. Trends Cogn. Sci. 5: 16–25.CrossRefGoogle ScholarPubMed
, , , et al., 2001. Human memory formation is accompanied by rhinal-hippocampal coupling and decoupling. Nature Neurosci. 4: pp. 1259–1264.CrossRefGoogle ScholarPubMed
, and , 1971. STRIPS: a new approach to the application of theorem proving to problem solving. Artif. Intelli. 2: 189–208.CrossRefGoogle Scholar
, , , et al., 2002. Emergence of modern human behavior: Middle Stone Age engravings from South Africa. Science 295: 1278–1280.CrossRefGoogle ScholarPubMed
, , , , and , 2004. Middle Stone Age shell beads from South Africa. Science 304: 404.CrossRefGoogle ScholarPubMed
, 1998. Theory of mind in nonhuman primates. Behav. Brain Sci. 21: 101–148.CrossRefGoogle ScholarPubMed
Hobbs, J. R., 1985a. Ontological promiscuity. Proceedings, 25th Annual Meeting of the Association for Computational Linguistics, Chicago, IL, July 1985, pp. 61–69.
Hobbs, J. R. 1985b. On the Coherence and Structure of Discourse, Report No. CSLI-85–37. Stanford University, CA: Center for the Study of Language and Information.
Hobbs, J. R. 1998. The syntax of English in an abductive framework. Available at http://www.isi.edu/∼hobbs/discourse-inference/chapter4.pdf
Hobbs, J. R. 2001. Syntax and metonymy. In and (eds.) The Language of Word Meaning. Cambridge, UK: Cambridge University Press, pp. 290–311.Google Scholar
, , , and , 2003. An early case of color symbolism: ochre use by modern humans in Qafzeh Cave. Curr. Anthropol. 44: 491–522.CrossRefGoogle Scholar
, 1999. Possible stages in the evolution of the language capacity. Trends Cogn. Sci. 3: 272–279.CrossRefGoogle ScholarPubMed
Kameyama, M., 1994. The syntax and semantics of the Japanese Language Engine. In and (eds.) Japanese Syntactic Processing. Hillsdale, NJ: Lawrence Erlbaum.Google Scholar
Kirby, S., 2000. Syntax without natural selection: how compositionality emerges from vocabulary in a population of learners. In , , and (eds.) The Evolutionary Emergence of Language: Social Function and the Emergence of Linguistic Form. Cambridge, UK: Cambridge University Press, pp. 303–323.CrossRefGoogle Scholar
, and , 2003. From language learning to language evolution. In and (eds.) Language Evolution. Oxford, UK: Oxford University Press, pp. 272–294.Google Scholar
, and , 1997. The Basic Variety, or couldn't language be much simpler?Second Lang. Res. 13: 301–347.CrossRefGoogle Scholar
Peirce, C. S., 1903. Abduction and induction. In (ed.) Philosophical Writings of Pierce. New York: Dover Publications, 1955, pp. 150–156.Google Scholar
, and , 1994. Head-Driven Phrase Structure Grammar. Chicago, IL: University of Chicago Press.Google Scholar
, and , 1978. Does the chimpanzee have a theory of mind?Behavi. Brain Sci. 1: 515–526.CrossRefGoogle Scholar
Scollon, R., 1979. A real early stage: an unzippered condensation of a dissertation on child language. In and (eds.) Developmental PragmaticsNew York: Academic Press, pp. 215–227.Google Scholar
, 1999. Advances in shruti: a neurally motivated model of relational knowledge representation and rapid inference using temporal synchrony. Appl. Intell. 11: 79–108.CrossRefGoogle Scholar
Shastri, L. 2001. Biological grounding of recruitment learning and vicinal algorithms in long-term potentiation. In , , and (eds.) Emergent Neural Computational Architectures Based on Neuroscience. Berlin: Springer-Verlag, pp. 348–367.Google Scholar
, and , 1993. From simple associations to systematic reasoning: a connectionist representation of rules, variables and dynamic bindings using temporal synchrony. Behavi. Brain Sci. 16: 417–494.CrossRefGoogle Scholar
, and , 2003. Learning structured representations. Neurocomputing 52–54: 363–370.CrossRefGoogle Scholar
Tomasello, M., 2003. On the different origins of symbols and grammar. In and (eds.) Language Evolution. Oxford, UK: Oxford University Press, pp. 94–110.
, and , 1972. Psychology of Reasoning: Structure and Content. Cambridge, MA: Harvard University Press.Google Scholar
Wendelken, C., and Shastri, L., 2003. Acquisition of concepts and causal rules in shruti. Proceedings, 25th Annual Conference of the Cognitive Science Society, Boston, MA, pp. 1224–1229.
, 1998. Protolanguage as a holistic system for social interaction. Lang. Commun. 18, 47–67.CrossRefGoogle Scholar
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