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Modeling the evolution of communication: From stimulus associations to grounded symbolic associations

Cangelosi, Angelo (1999) Modeling the evolution of communication: From stimulus associations to grounded symbolic associations. [Conference Paper]

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Abstract

This paper describes a model for the evolution of communication systems using simple syntactic rules, such as word combinations. It also focuses on the distinction between simple word-object associations and symbolic relationships. The simulation method combines the use of neural networks and genetic algorithms. The behavioral task is influenced by Savage-Rumbaugh & Rumbaugh’s (1978) ape language experiments. The results show that languages that use combination of words (e.g. “verb-object” rule) can emerge by auto-organization and cultural transmission. Neural networks are tested to see if evolved languages are based on symbol acquisition. The implications of this model for Deacon’s (1997) hypothesis on the role of symbolic acquisition for the origin of language are discussed.

Item Type:Conference Paper
Keywords:language evolution, neural networks, artificial life, syntax
Subjects:Computer Science > Artificial Intelligence
Computer Science > Neural Nets
Psychology > Evolutionary Psychology
Linguistics > Computational Linguistics
Psychology > Psychophysics
ID Code:2022
Deposited By:Cangelosi, Angelo
Deposited On:11 Jan 2002
Last Modified:12 Sep 2007 17:42

References in Article

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Batali J. (1994). Innate biases and critical periods: Combining evolution and learning in the acquisition of syntax. In R. Brooks & P. Maes (eds), Artificial Life IV, Cambridge, MA: MIT Press, 160-171.

Cangelosi A. & Parisi D. (1998). The emergence of a "language" in an evolving population of neural networks. Connection Science, 10(2): 83-97.

Deacon T.W. (1996). Prefrontal cortex and symbol learning: Why a brain capable of language evolved only once. In B.M. Velichkovsky & D.M. Rumbaugh (eds), Communicating meaning: The evolution and development of language, Mahwah NJ: LEA Publishers

Deacon T.W. (1997). The symbolic species: The coevolution of language and human brain, London: Penguin.

Greenfield P.M. & Savage-Rumbaugh S. (1990). Grammatical combination in Pan paniscus: Process of learning and invention in the evolution and development of language. In S.T. Parker & K.R. Gibson (eds), Language and intelligence in monkeys and apes, Cambridge University Press, 540-579.

Harnad S. (Ed.) (1987). Categorical Perception: The groundwork of cognition. New York: Cambridge University Press.

Harnad S. (1990). The Symbol Grounding Problem. Physica D 42: 335-346

Hauser M.D. (1996). The evolution of communication. Cambridge, MA: MIT Press.

Kirby S. (in press). Syntax without Natural Selection: How compositionality emerges from vocabulary in a population of learners. In Chris Knight (ed.) Approaches to the Evolution of Language.

Kirby S. & Hurford J. (1997). Learning, culture and evolution in the origin of linguistic constraints. In P. Husband & I. Harvey (eds). Proceedings of the Fourth European Conference on Artificial Life, London: MIT Press

Parisi D., Cecconi F. & Nolfi S. (1990). ECONETS: Neural networks that learn in an environment. Network, 1: 149-168.

Parisi D., Denaro D., & Cangelosi A. (1998). The evolution of language as an aid to categorization. Technical Report, CNR-GRAL, Institute of Psychology. Poster presented at the 2nd International Conference on the Evolution of Language, London.

Savage-Rumbaugh S. & Rumbaugh D.M. (1978). Symbolization, language, and Chimpanzees: A theoretical reevaluation on Initial language acquisition processes in four Young Pan troglodytes. Brain and Language, 6: 265-300.

Steels, L. (1997a) The synthetic modeling of language origins. Evolution of Communication, 1(1).

Steels L. (1997b). Self-organising vocabularies. In C.G. Langton & K. Shimohara (eds), Proceedings of the ALIFE V conference, Cambridge MA: MIT Press, 179-184.

Steels L. & Vogt P. (1997). Grounding adaptive language games in robotic agents. In P. Husband & I. Harvey (eds). Proceedings of the Fourth European Conference on Artificial Life, London: MIT Press

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