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Computer simulation: A new scientific approach to the study of language evolution

Cangelosi, Angelo and Parisi, Domenico (2002) Computer simulation: A new scientific approach to the study of language evolution. [Book Chapter]

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Abstract

(summary of the whole book) This volume provides a comprehensive survey of computational models and methodologies used for studying the origin and evolution of language and communication. With contributions from the most influential figures in the field, Simulating the Evolution of Language presents and summarises current computational approaches to language evolution and highlights new lines of development. Among the main discussion points are: · Analysis of emerging linguistic behaviours and structures · Demonstration of the strict interaction and interdependence between language and other non-linguistic abilities · Direct comparisons between simulation studies and empirical research Essential reading for researchers and students in the areas of evolutionary and adaptive systems, language evolution, modelling and linguistics, it will also be of particular interest to computer scientists working on multi-agent systems, robotics and internet agents.

Item Type:Book Chapter
Keywords:language evolution, computer simulation, computational linguistic
Subjects:Biology > Evolution
Psychology > Cognitive Psychology
Computer Science > Artificial Intelligence
Computer Science > Dynamical Systems
Psychology > Evolutionary Psychology
Linguistics > Historical Linguistics
Linguistics > Comparative Linguistics
Neuroscience > Neurolinguistics
Psychology > Psycholinguistics
ID Code:2014
Deposited By:Cangelosi, Professor Angelo
Deposited On:11 Jan 2002
Last Modified:11 Mar 2011 08:54

References in Article

Select the SEEK icon to attempt to find the referenced article. If it does not appear to be in cogprints you will be forwarded to the paracite service. Poorly formated references will probably not work.

Ackley DH, Littman ML (1994) Altruism in the evolution of communication. In: Brooks R, Maes P (eds) Proceedings of the Fourth Artificial Life Workshop. MIT Press, Cambridge

Arbib MA (ed) (1995) The handbook of brain theory and neural networks, A Bradford Book/The MIT Press, Cambridge

Arita T, Taylor CE (1996) A simple model for the evolution of communication. In: Fogel LJ, Angeline PJ, Bäck T (eds) Evolutionary Programming V, MIT Press, Cambridge

Armstrong DF, Stokoe WC, Wilcox SE (eds) (1998). Gesture and the nature of language. Cambridge University Press

Billard A, Dautenhahn K (1999) Experiments in learning by imitation: Grounding and use of communication in robotic agents. Adaptive Behavior, 7: 415-438

Briscoe EJ (2000) Grammatical acquisition: Inductive bias and coevolution of language and the language acquisition device. Language, 76: 245-296

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

Cangelosi A, Parisi D (2001). How nouns and verbs differentially affect the behavior of artificial organisms. In Moore JD, Stenning K (eds), Proceedings of the 23rd Annual Conference of the Cognitive Science Society, Lawrence Erlbaum Associates, pp 170-175

Cavalli Sforza LL (2000) Genes, peoples and languages. Penguin Press.

Churchland PS, Sejnowski TJ (1994) The computational brain. MIT Press

Davidson I (2000) Tools, language and the origins of culture. In: Dessalles JL, Ghadakpour L (eds) Proceedings of the 3rd International Conference on the Evolution of Language

de Boer B (2000), Self organization in vowel systems. Journal of Phonetics, 28: 441-465

de Jong ED (1999) Analyzing the evolution of communication from a dynamical systems perspective. In: Proceedings of the European Conference on Artificial Life ECAL'99. Springer-Verlag, Berlin, pp 689-693

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

Di Paolo EA, Noble J, Bullock S (2000) Simulation models as opaque thought experiments In: Bedau MA, McCaskill JS, Packard NH, Rasmussen S (eds) Artificial Life VII: Proceedings of the Seventh International Conference on Artificial Life. MIT Press, Cambridge MA, pp 497-506

Goldberg DE (1989) Genetic algorithms in search, optimization, and machine learning. Addison-Wesley

Grim P, St. Denis P, Kokalis T (2001) Learning to communicate: The emergence of signaling in spatialized arrays of neural nets. Technical Report, Department of Philosophy, SUNY at Stony Brooks

Hanson SJ, Burr DJ (1990) What connectionist models learn: Learning and representation in connectionist networks. Behavioral and Brain Sciences, 13(3): 471-518

Hare M, Elman JL (1995) Learning and morphological change. Cognition, 56: 61-98

Harnad S (1990) The symbol grounding problem. Physica D, 42: 335-346

Harnad S, Steklis HD, Lancaster J (eds) (1976) Origins and evolution of language and speech. National Academy of Sciences.

Hauser MD (1996) The evolution of communication. MIT Press, Cambridge MA

Holland JH (1975) Adaptation in natural and artificial systems. Univ. of Michigan Press.

Hurford J, Studdert-Kennedy M, Knight C (eds) (1998) Approaches to the evolution of language. Cambridge University Press, Cambridge UK

Hurford JR (1991) The evolution of the critical period for language acquisition. Cognition, 40: 159-201.

Hutchins E, Hazlehurst B (1995) How to invent a lexicon: the development of shared symbols in interaction. In: Gilbert N, Conte R (eds) Artificial Societies: The computer simulation of social life. UCL Press

Kirby S (1999) Function, selection and innateness: the emergence of language universals. Oxford University Press, Oxford

Knight C, Studdert-Kennedy M, Hurford J (eds) (2000) The evolutionary emergence of language: Social function and the origins of linguistic form, Cambridge University Press

Koch C, Segev I (eds) (1998) Methods in neuronal modeling: From ions to networks (2nd edition), A Bradford Book/The MIT Press, Cambridge MA

Langton CG (1995) Artificial life: An overview. MIT Press, Cambridge MA

Levine DS (2000) Introduction to neural and cognitive Modeling. LEA, Mahwah, NJ

Lieberman P (1993) Uniquely human: The evolution of speech, thought, and selfless behavior. Harvard University Press.

Luna F, Stefansson B (eds) (2000) Economic simulations in Swarm: Agent-based modelling and object oriented programming. Kluwer Academic Publishers

MacLennan B (1992) Synthetic Ethology: An approach to the study of communication. In: Langton CG, Taylor CDF, Rasmussen S (eds) Artificial Life II: SFI studies in the science of complexity. Addison-Wesley, Redwood City, pp 631-658

Martin A, Haxby JV, Lalonde FM, Wiggs CL, Ungerleider LG (1995) Discrete cortical regions associated with knowledge of color and knowledge of action. Science, 270: 102-105

Nettle D (1999) Using social impact theory to simulate language change. Lingua, 108: 95-117

Nettle D, Dunbar RIM (1997) Social markers and the evolution of reciprocal exchange. Current Anthropology, 38: 93-99

Nolfi S, Floreano D (1999) Learning and evolution. Autonomous Robots, 7(1): 89-113

Nowak MA, Plotkin JB, Jansen VAA (2000) The evolution of syntactic communication. Nature, 404: 495-498

Oliphant M (1996) The dilemma of saussurean communication. Biosystems, 37: 31-38

Oliphant M (1999) The learning barrier: Moving front innate to learned systems of communication. Adaptive Behavior, 7: 371-383

Oliphant M, Batali J (1997) Learning and the emergence of coordinated communication. Center for Research on Language Newsletter, 11(1)

Parisi D (1997) An Artificial Life approach to language. Mind and Language, 59: 121-146.

Parisi D (2001) La simulazione. Il Mulino, Bologna.

Parker ST, Gibson KR (1979). A developmental model for the evolution of language and intelligence in early hominids. Behavioral and Brain Sciences, 2(3): 367-407

Piazza A (1996) Genetic histories and patterns of linguistic change. In: Velichkovsky BM, Rumbaugh DM (eds) Communicating meaning: The evolution and development of language, LEA Publishers, Mahwah NJ

Rizzolatti G, Arbib MA (1998) Language within our grasp. Trends in Neurosciences, 21(5): 188-194

Rumelhart DE, McClelland JL (eds) (1986) Parallel Distributed Processing: Explorations in the microstructure of cognition. MIT Press, Cambridge MA

Saunders GM, Pollack JB (1996) The evolution of communication schemes over continuous channels. In: Proceedings of the SAB'96 conference on the simulation of adaptive behavior. MIT Press, Cambridge MA

Savage-Rumbaugh ES (1998) Apes, language, and the human mind. Oxford U. Press

Searle JR (1982) The Chinese room revisited. Behavioral and Brain Sciences, 5: 345-348

Steels L (1996) Self-organizing vocabularies In: Langton CG (ed) Proceedings of Artificial Life V. Nara, 1996

Steels L (1997) The synthetic modelling of language origins. Evolution of Communication 1: 1-34

Steels L, Kaplan F (1998) Situated grounded word semantics. In: Proceedings of IJCAI-99. Morgan Kauffman Publishing, Los Angeles, pp 862-867

Steels L, Vogt P (1997) Grounding adaptive language games in robotic agents. In: Husband P, Harvey I (eds) Proceedings of the Fourth European Conference on Artificial Life. MIT Press, Cambridge MA, pp 474-482

Teal TK, Taylor CE (2000) Effects of compression on language evolution. Artificial Life, 6: 129-143

Wagner K (2000) Cooperative strategies and the evolution of communication. Artificial Life, 6(2): 149-179

Weiss GA, Sidhu SS (2000) Design and evolution of artificial M13 coat proteins. Journal of Molecular Biology, 300(1): 213-9

Werner GM, Dyer MG (1994) BioLand: a massively parallel environment for evolving distributed forms of intelligent behavior. In: Kitano H (ed) Massively parallel artificial intelligence. MIT Press, Cambridge MA

Worden RP (1996) Primate social intelligence. Cognitive Science, 20: 579-616

Zahavi A (1975) Mate selection - A selection for a handicap. Journal of Theoretical Biology, 53: 205-214

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