Evolving consensus among a population of communicators

Complexity International

Volumn 9, Issue , 2002, Pages

  Wagner, Kyle ^a   Reggia, Jim ^a  

^a UNIVERSITY OF MARYLAND   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

COMPUTATIONAL SIMULATION; FINITE STATE MACHINES; SIMULATED COMMUNICATORS;

COMPUTER SIMULATION; LEARNING ALGORITHMS; MULTI AGENT SYSTEMS; PROBLEM SOLVING; SOCIAL ASPECTS; TABLE LOOKUP;

COMMUNICATION SYSTEMS;

EID: 19744381213     PISSN: 13200682     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (37)

1. Ackley, D. & Littman, M. (1994) Altruism in the evolution of communication, in Artificial Life IV: Proceedings of the fourth international workshop on the synthesis and simulation of living systems, (eds) R. Brooks & P. Maes, MIT Press: 40-48.
2. Baray, C. (1997) Evolving cooperation via communication in homogeneous multi-agent systems, in Proceedings of Intelligent Information Systems, Los Alamitos, CA. IEEE Computer Society, IEEE Computer Society: 204-208.
3. Baray, C. (1999) Evolution of coordination in reactive multi-agent systems, PhD thesis, Indiana University, Bloomington, IN.
4. Cheney, D. L. and Seyfarth, R. M. (1990) How monkeys see the world: Inside the mind of another species, University of Chicago Press, Chicago.
5. Clark, E. (1995) The lexicon in acquisition, Cambridge University Press, Cambridge.
6. de Saussure, F. (1985/1959) The linguistic sign in Semiotics: an introductory anthology, (ed) R. Innis, Indiana University Press, Bloomington, IN: 24-46.
7. Di Paolo, E. A. (2000) Behavioral coordination, structural congruence and entrainment in a simulation of acoustically coupled agents, Adaptive Behavior, 8(1): 27-48.
8. DiMarco, F. P. and Hanlon, R. T. (1997) Agonistic behavior in the squid Loligo plei (loliginidae, teuthoidea): fighting tactics and the effects of size and resource value, Ethology, 103:89-108.
9. Dunbar, R. (1993) Coevolution of neocortical size, group size and language in humans, Behavioral and Brain Sciences, 16(4): 681-735.
10. Elgar, M. A. (1986) House sparrows establish foraging flocks by giving chirrup calls if the resources are divisible, Animal Behavior, 34: 169-174.
11. Elman, J. L. (1993) Learning and development in neural networks: The importance of starting small, Cognition, 48: 72-99.
12. Ficken, M. S. (1981) Food finding in black-capped chickadees: altruistic communication? Wilson Bulletin, 93(3): 393-394.
13. Ficken, M. S. (1989) Acoustic characteristics of alarm calls associated with predation risk in chickadees, Animal Behaviour, 39(2): 400-401.
14. Greenhalgh, D. and Marshall, S. (2000) Convergence criteria for genetic algorithms, SIAM Journal on Computing, 30(1): 269-282.
15. Grim P., Kokalis T., Tafti, A., and Kilb, N. (2000) Evolution of communication in perfect and imperfect worlds, World Futures: The Journal of General Evolution, 56: 179-197.
16. Hanlon, R. T., Smale, M. J., and Sauer H. H. W. (1994) An ethogram of body patterning behavior in the squid Loligo vulgaris reynaudii on spawning grounds in South Africa, Biological Bulletin, 187: 363-372.
17. Hare, M. and Elman, J. L. (1995) Learning and morphological change, Cognition, 56: 61-98.
18. Hutchins, E. and Hazlehurst, B. How to invent a lexicon: the development of shared symbols in interaction, in Artificial societies: the computer simulation of social life, (eds) N. Gilbert and R. Conte, UCL Press, London: 157-189.
19. Jim, K.-C. and Giles, C. L. (2000) Talking helps: Evolving communicating agents for the predator-prey pursuit problem, Artificial Life, 6(3): 237-254.
20. Levin, M. (1995) The evolution of understanding: A genetic algorithm model of the evolution of communication, BioSystems, 36: 167-178.
21. Livingstone, D. and Fyfe, C. (1999) Modeling the evolution of linguistic diversity. in Advances in Artificial Life, volume 1674 of Lecture Notes in Artificial Intelligence (eds) D. Floreano, J.-D. Nicoud, and F. Mondada, Springer.
22. MacLennan, B. J. and Burghardt, G. M. (1993) Synthetic ethology and the evolution of cooperative communication, Adaptive Behavior, 2(2): 161-188.
23. Maes, P., Mataric, M. J., Meyer, J.-A., Pollack, J., and Wilson, S. W. (1996) From animals to animats 4, Cape Cod, MA, sep 9-13, MIT Press.
24. Mateo, J. M. (1996) The development of alarm-call response behaviour in free-living juvenile belding's ground squirrels, Animal Behaviour, 52: 489-505.
25. Mitchell, M. (1996) An introduction to genetic algorithms, MIT Press, MA.
26. Newman, J. A. and Caraco, T. (1989) Co-operative and non-co-operative bases of foodcalling, Journal of Theoretical Biology, 141: 197-209.
27. Oliphant, M. (1996) The dilemma of saussurean communication, Biosystems, 37(1-2): 31-38.
28. Oliphant, M. (1999) The learning barrier: Moving from innate to learned systems of communication, Adaptive Behavior, 7(3-4): 371-384.
29. Reggia, J. A., Schulz, R., Wilkinson, G. S., and Uriagereka, J. (2001) Conditions enabling the emergence of inter-agent signalling in an artificial world, Artificial Life, 7(1): 3-32.
30. Saunders, G. M. and Pollack, J. B. (1996) The evolution of communication schemes over continuous channels, in [23]: 580-589.
31. Smith, J. M. (1982) Evolution and the theory of games, Cambridge University Press, Cambridge, UK.
32. Steels, L. (1996) Emergent adapative lexicons, in [23].
33. Steels, L. (1997) The synthetic modeling of language origins, Evolution of Communication, 1 (1): 1-34.
34. Wagner, K. (2000) Cooperative strategies and the evolution of communication, Artificial Life, 6(2): 149-179.
35. Werner, G. M. and Dyer, M. G. (1991) Evolution of communication in artificial organisms, in Artificial Life II, SFI Studies in the Sciences of Complexity, volume X, Addison-Wesley, MA: 659-687.
36. Wittgenstein, L. (1968) Philosophical investigations, The Macmillan Company, New York, third edition.
37. Yanco, H. and Stein, L. (1996) An adaptive communication protocol for cooperating mobile robots, in From animals to animats 2, (eds) J.-A. Meyer, H.L. Roitblat, and S.W. Wilson, Cape Cod, MA, MIT Press: 478-485.