The emergence of an internally-grounded, multireferent communication system

Interaction Studies

Volumn 7, Issue 1, 2006, Pages 105-129

  Wagner, Kyle ^a   Reggia, James A ^b  

^a Sparta Inc ^*  (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Consensus; Evolution of communication; Multi agent system; Situatedness; Symbol grounding

Indexed keywords

EID: 42449100386     PISSN: 15720373     EISSN: 15720381     Source Type: Journal    
DOI: 10.1075/is.7.1.06wag     Document Type: Article

References (31)

1. Ackley, David & Littman, Michael. (1994). Altruism in the evolution of communication. In Rodney Brooks and Pattie Maes (Eds.), Artificial Life IV: Proceedings of the fourth international workshop on the synthesis and simulation of living systems (pp. 40-48). Cambridge, MA: MIT Press.
2. Baray, Cristobal. (1998). Effects of population size upon emergent group behavior. Complexity International, 6.
3. Batali, John. (1998). Computational simulations of the emergence of grammar. In James R. Hurford, Michael Studdert-Kennedy, and Chris Knight (Eds.), Approaches to the Evolution of Language (pp. 405-426). Cambridge: Cambridge University Press.
4. Bradbury, J. M. & Vehrencamp, S. L. (1998). Principles of Animal Communication. Sunderland, MA: Sinauer.
5. Cangelosi, Angelo & Parisi, Domenico. (2001) How nouns and verbs differentially affect the behavior of artificial organisms. In Johanna D. Moore and Keith Stenning (Eds.), Proceedings of the 23rd Annual Conference of the Cognitive Science Society (pp. 170-175). London: Lawrence Erlbaum Associates.
6. Carstairs-McCarthy, Andrew. (1999). The Origins of Complex Language: An Inquiry into the Evolutionary Beginnings of Sentences, Syllables, and Truth. Oxford: Oxford University Press.
7. Cheney, Dorothy L. & Seyfarth, Robert M. (1990). How monkeys see the world: Inside the mind of another species. Chicago: University of Chicago Press.
8. Decety, J., Grèzes, J., Costes, N., Perani, D., Jeannerod, M., Procyk, E., Grassi, F., & Fazio, F. (1997). Brain activity during observation of actions: Influence of action content and subject's strategy. Brain, 120, 1763-1777.
9. Dunbar, Robin. (1996). Grooming, Gossip, and the Evolution of Language. Cambridge, MA: Harvard University Press.
10. Dyer, Michael G. (1995). Toward synthesizing artificial networks that exhibit cooperative intelligent behavior: Some open issues in artificial life. In Christoher G. Langton (Ed.), Artificial life: An overview (pp. 111-134). Cambridge, MA: MIT Press.
11. Elman, Jeffrey L., Bates, Elizabeth A., Johnson, Mark H., Karmiloff-Smith, Annette, Parisi, Domenico, & Plunkett, Kim. (1996). Rethinking Innateness: A Connectionist Perspective on Development. Cambridge, MA: MIT Press.
12. Grim, Patrick, Kokalis, Trina, Tafti, Ali, & Kilb, Nicholas. (1999). Evolution of communication with a spatialized genetic algorithm. Evolution of Communication, 3, 105.134.
13. Harnad, Stevan. (1990). The symbol grounding problem. Physica D, 42, 335-346.
14. Hauser, Marc D. (1996). The evolution of communication. Cambridge, MA: The MIT Press, Bradford Book.
15. Hutchins, Edwin & Hazlehurst, Brian. (1995). How to invent a lexicon: the development of shared symbols in interaction. In Nigel Gilbert and Rosaria Conte (Eds.), Artificial societies: the computer simulation of social life (pp. 157-.189). London: UCL Press.
16. Kirby, Simon. (2001). Spontaneous evolution of linguistic structure: an iterated learning model of the emergence of regularity and irregularity. IEEE Transactions on Evolutionary Computation, 5, 102-110.
17. Kirby, Simon. (2002). Natural language from artificial life. Artificial Life, 8, 185-215.
18. Levin, Michael. (1995). The evolution of understanding: A genetic algorithm model of the evolution of communication. BioSystems, 36, 167-178.
19. Livingstone, Daniel & Fyfe, Colin (1999). Modeling the evolution of linguistic diversity. In D. Floreano, J.-D. Nicoud, and F. Mondada (Eds.), Advances in Artificial Life: The Fifth European Conference (ECAL '99), volume 1674 of Lecture Notes in Artificial Intelligence. Berlin: Springer.
20. Loritz, D. (1999). How the Brain Evolved Language. Oxford.
21. Mesulam, M. (1990). Large-scale neurocognitive networks and distributed processing for attention, language and memory. Annals of Neurology, 28, 597-613.
22. Oliphant, Michael. (1999). The learning barrier: Moving from innate to learned systems of communication. Adaptive Behavior, 7, 371-384.
23. Parisi, Domenico. (1997). An artificial life approach to language. Brain and Language, 59, 121-146.
24. Reggia, James A., Schulz, Reiner, Wilkinson, Gerald S., & Uriagereka, Juan. (2001). Conditions enabling the emergence of inter-agent signalling in an artificial world. Artificial Life, 7, 3-32.
25. Rizzolatti, Giacomo & Arbib, Michael A. (1998). Language within our grasp. Trends in Neurosciences, 21(5), 188-194.
26. Sayigh, Laela S., Tyack, Peter L., Wells, Randall S., Scott, Michael D., & Irvine, A. Blair. (1995). Sex difference in signature whistle production of free-ranging bottlenose dolphins, Tursiops truncatus. Behavioral and Ecological Sociobiology, 36, 171-177.
27. Steels, Luc. (1997). The synthetic modeling of language origins. Evolution of Communication, 1, 1-34.
28. Wagner, Kyle. (2000). Cooperative strategies and the evolution of communication. Artificial Life, 6, 149-179.
29. Wagner, Kyle & Reggia, James A. (2002). Evolving consensus among a population of communicators. Complexity International, 9. http://www.life.csu. au/ci/vol09/wagner01.
30. Wagner, Kyle, Reggia, James A., Wilkinson, Gerald S., & Uriagereka, Juan. (2003). Progress in the simulation of emergent communication and language. Adaptive Behavior. In press.
31. Werner, Gregory M. & Dyer, Michael G. (1991). Evolution of communication in artificial organisms. In Artificial Life II, SFI Studies in the Sciences of Complexity, volume X (pp. 659-687). Addison-Wesley.