Abstract
This paper presents a multi-agent system which has been developed in order to test our theories of language evolution. We propose that language evolution is an emergent behaviour, which is influenced by both genetic and social factors and show that a multi-agent approach is thus most suited to practical study of the salient issues. We present the hypothesis that the original function of language in humans was to share navigational information, and show experimental support for this hypothesis through results comparing the performance of agents in a series of environments. The approach, based loosely on the Songlines of Australian Aboriginal culture, combines individual exploration with exchange of information about resource location between agents. In particular, we study how the degree to which language use is beneficial varies with a particular property of the environment structure, that of the distance between resources needed for survival.
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References
Briscoe, E.J. (ed.): Linguistic Evolution through Language Acquisition: Formal and Computational Models. Cambridge University Press, Cambridge (2002)
Kirby, S.: Learning, Bottlenecks and the Evolution of Recursive Syntax. In: Linguistic Evolution through Language Acquisition: Formal and Computational Models. Cambridge University Press, Cambridge (2002)
Steels, L.: The spontaneous self-organization of an adaptive language. In: Furukawa, K., Michie, D., Muggleton, S. (eds.) Machine Intelligence, vol. 15. St. Catherine’s College, Oxford University Press, Oxford (1999); Machine Intelligence Workshop, July 1995, pp. 205–224 (1995)
Kazakov, D., Bartlett, M.: A multi-agent simulation of the evolution of language. In: Grobelnik, M., Bohanec, M., Mladenic, D., Gams, M. (eds.) Proceedings of Information Society Conference IS 2002, Ljubljana, Slovenia, pp. 39–41. Morgan Kaufmann, San Francisco (2002)
Hauser, M.D., Chomsky, N., Fitch, W.T.: The faculty of language: What is it, who has it, and how did it evolve? Science 298, 1569–1579 (2002)
Herner-Vazquez, L., Spelke, E.S., Katsnelson, A.S.: Sources of flexibilit in human cognition: Dual-task studies of space and language. Cognitive Psychology 39, 3–36 (1999)
O’Keefe, J., Nadel, L.: The Hippocampus as a Cognitive Map. Oxford University Press, Oxford (1978)
Oliphant, M.: Formal Approaches to Innate and Learned Communication: Laying the Foundation for Language. PhD thesis, Department of Cognitive Science, University of California, San Diego (1997)
Zuidema, W.H., Hogeweg, P.: Selective advantages of syntactic language - a model study. In: Proceedings of the Twenty-second Annual Conference of the Cognitive Science Society, Hillsdale, USA, pp. 577–582. Lawrence Erlbaum Associates, Mahwah (2000)
Turner, H., Kazakov, D.: Stochastic simulation of inherited kinship-driven altruism. Journal of Artificial Intelligence and Simulation of Behaviour 1, 183–196 (2002)
Dawkins, R.: The Extended Phenotype. Oxford University Press, Oxford (1982)
Hamilton, W.D.: The genetic evolution of social behaviour I. Journal of Theoretical Biology 7, 1–16 (1964)
Ventana Wilderness Society: (visited January 2004), http://www.ventanaws.org/condhist.htm
Kazakov, D., Kudenko, D.: Machine Learning and Inductive Logic Programming for Multi-agent Systems. In: Luck, M., MaÅ™Ãk, V., Å tÄ›pánková, O., Trappl, R. (eds.) ACAI 2001 and EASSS 2001. LNCS (LNAI), vol. 2086, pp. 246–270. Springer, Heidelberg (2001)
Barwick, L., Marrett, A.: Aboriginal Traditions. In: Currency Companion to Dance and Music in Australia, pp. 26–28. Currency Press (2003)
Kazakov, D., Bartlett, M.: Benefits of sharing navigational information in a dynamic alife environment (Unpublished).
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Bartlett, M., Kazakov, D. (2005). Comparing Resource Sharing with Information Exchange in Co-operative Agents, and the Role of Environment Structure. In: Kudenko, D., Kazakov, D., Alonso, E. (eds) Adaptive Agents and Multi-Agent Systems II. AAMAS AAMAS 2004 2003. Lecture Notes in Computer Science(), vol 3394. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-32274-0_3
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DOI: https://doi.org/10.1007/978-3-540-32274-0_3
Publisher Name: Springer, Berlin, Heidelberg
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