Synthetic ethology is proposed as a means of conducting controlled experiments investigating the mechanisms and evolution of communication. After a discussion of the goals and methods of synthetic ethology, two series of experiments are described based on at least 5000 breeding cycles. The first demonstrates the evolution of cooperative communication in a population of simple machines. The average fitness of the population and the organization of its use of signals are compared under three conditions: communication suppressed, communication permitted, and communication permitted in the presence of learning. Where communication is permitted, the fitness increases approximately 26 times faster than when communication is suppressed; with communication and learning, the rate of fitness increase is nearly 100-fold The second series of experiments illustrates the evolution of a syntactically simple language, in which a pair of signals is required for effective communication.
Axelrod, R. (1981). The emergence of cooperation among egoists. American Political Science Review, 75, 306-318.
2.
Axelrod, R. (1984). The evolution of cooperation. New York: Basic Books.
3.
Beer, R.D. (1990). Intelligence as adaptive behavior: An experiment in computational neuroethology. San Diego: Academic Press.
4.
Beer, R.D., Chiel, H.J., & Sterling, L.S. (1990). A biological perspective on autonomous agent design. Journal of Robotics and Autonomous Systems, 6, 169-186.
5.
Bekoff, M., & Allen, C. (1992). Intentional icons: Towards an evolutionary cognitive ethology. Ethology, 91, 1-16.
6.
Blumberg, M.S., & Alberts, J.R. (1992). Functions and effects in animal communication : Reactions to Guilford & Dawkins. Animal Behaviour, 44, 382-383.
7.
Braitenberg, V. (1984). Vehicles: Experiments in synthetic psychology . Cambridge, MA: MIT Press.
8.
Burghardt, G.M. (1970). Defining 'communication'. In J. W Johnston Jr., D. G. Moulton, & A. Turk (Eds.), Communication by chemical signals. New York: Appleton-Century-Crofts.
9.
Burghardt, G.M. (1984). On the origins of play. In P. K. Smith (Ed.), Play in animals and humans . Oxford: Basil Blackwell.
10.
Cliff, D.T. (1990). Computational neuroethology: A provisional manifesto (Cognitive Science Research Paper CSRP 162). Sussex: University of Sussex.
11.
Dennett, D. (1987). The intentional stance. Cambridge, MA: MIT Press.
12.
Endler, J.A. (1986). Natural selection in the wild. Princeton: Princeton University Press.
13.
Guilford, T., & Dawkins, M.S. (1991). Receiver psychology and the evolution of animal signals. Animal Behaviour, 42, 1-14.
14.
Langton, C. G. (Ed.). (1989). Artificial life. Redwood City: Addison-Wesley.
15.
Langton, C. G., Taylor, C. , Farmer, J. D., & Rasmussen, S. (Eds.) (1992). Artificial life II. Redwood City: Addison-Wesley.
16.
MacLennan, B.J. (1988). Causes and intentions. Behavioral and Brain Sciences, 11, 519-520.
17.
MacLennan, B.J. (1990). Evolution of communication in a population of simple machines (Tech. Rep. No. CS-90-99). Knoxville, TN : Computer Science Department, University of Tennessee .
18.
MacLennan, B.J. (1992). Synthetic ethology: An approach to the study of communication. In C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen (Eds.), Artificial life II. Redwood City: Addison-Wesley .
19.
MacLennan, B.J. (1993). Characteristics of connectionist knowledge representation . Information Sciences, 70, 119-143.
20.
MacLennan, B.J. (1994). Continuous symbol systems: The logic of connectionism . In D. S. Levine and M. Aparicio IV (Eds.), Neural networks for knowledge representation and inference. Hillsdale, NJ: Erlbaum.
21.
MacLennan, B.J. (in press). Image and symbol: Continuous computation and the emergence of the discrete. In V Honavar and L. Uhr (Eds.), Artificial intelligence and neural networks: Steps toward principled integration: Vol. 1. Basic paradigms; learning representational issues; and integrated architectures. Cambridge, Engl.: Academic Press.
22.
MacLennan, B.J., Jerke, N., Stroud, R., & VanHeyningen, M.D. (1990). Neural network models of cognitive processes—1990 progress report (Tech. Rep. No. CS-90-125) . Knoxville, TN: Computer Science Department, University of Tennessee.
23.
Meyer, J.-A., & Wilson, S.W. (1991). From animals to animats. Cambridge, MA: MIT Press.
24.
Morris, D. (1957). 'Typical intensity' and its relation to the problem of ritualization. Behaviour, 11, 1-12.
25.
Ristau, C. A. (Ed.). (1991). Cognitive ethology: The minds of other animals. Hillsdale, NJ: Erlbaum.
26.
Roitblat, H.L. (1987). Introduction to comparative cognition. New York: Freeman.
27.
Savage-Rumbaugh, E.S., Murphy, J., Sevcik, R.A., Brakke, K.E., Williams, S.L., & Rumbaugh, D.M. (1993). Language comprehension in ape and child. Monographs of the Society for Research in Child Development, 58 (Serial No. 233), 3-4.
28.
Slater, P.J.B. (1983). The study of communication. In T. R. Halliday and P. J. B. Slater (Eds.), Animal behavior: Vol. 2. Communication . New York: Freeman.
29.
Tinbergen, N. (1963). On aims and methods of ethology. Zeitschriftfür Tierpsychologie, 20, 410-433.
30.
Werner, G.M., & Dyer, M.G. (1992). Evolution of communication in artificial organisms . In C. G. Langton, C. Taylor, J. D. Farmer, & S. Rasmussen (Eds.), Artificial life II. Redwood City: Addison-Wesley .
31.
Wiley, R.H. (1983). The evolution of communication: Information and manipulation. In T. R. Halliday and P. J. B. Slater (Eds.), Animal behavior: Vol. 2. Communication. New York: Freeman.
