[1] Gordon M. Burghardt. Defining `communication'. In J. W. Johnston Jr., D. G. Moulton, and A. Turk, editors, Communication by Chemical Signals, pages 5--18. Appleton-Century-Crofts, New York, 1970.

[2] Joseph J. Crumpton. Evolution of two symbol signals by simulated organisms. Master's thesis, University of Tennessee, Knoxville, December 1994.

[3] Simon Kirby. Language evolution without natural selection: From vocabulary to syntax in a population of learners. Technical Report EOPL-98-1, University of Edinburgh, Department of Linguistics, 1998. Available from http://www.ling.ed.ac.uk/~simon.

[4] Simon Kirby. ``Learning, bottlenecks and the evolution of recursive syntax.'' In E. J. Briscoe, editor, Linguistic Evolution through Language Acquisition: Formal and Computational Models. Cambridge University Press, Cambridge, 2000. Also available from http://www.ling.ed.ac.uk/~simon.

[5] Simon Kirby. Syntax without natural selection: How compositionality emerges from vocabulary in a population of learners. In C. Knight, M. Studdert-Kennedy, and J. Hurford, editors, The Evolutionary Emergence of Language: Social Function and the Origins of Linguistic Forms. Cambridge University Press, Cambridge, 2000. Also available from http://www.ling.ed.ac.uk/~simon.

[6] Bruce J. MacLennan. Evolution of communication in a population of simple machines. Technical Report CS-90-99, University of Tennessee, Knoxville, Department of Computer Science, January 1990. Available from http://www.cs.utk.edu/~mclennan.

[7] Bruce J. MacLennan. Synthetic ethology: An approach to the study of communication. In Christopher G. Langton, Charles Taylor, J. Doyne Farmer, and Steen Rasmussen, editors, Artificial Life II: The Second Workshop on the Synthesis and Simulation of Living Systems, pages 631--658. Addison-Wesley, Redwood City, CA, 1992. Santa Fe Institute Studies in the Sciences of Complexity, proceedings Vol. X. Report available from http://www.cs.utk.edu/~mclennan.

[8] Bruce J. MacLennan. Characteristics of connectionist knowledge representation. Information Sciences, 70:119--143, 1993. Also available from http://www.cs.utk.edu/~mclennan.

[9] Bruce J. MacLennan. Continuous symbol systems: The logic of connectionism. In Daniel S. Levine and Manuel Aparicio IV, editors, Neural Networks for Knowledge Representation and Inference, pages 83--120. Lawrence Erlbaum, Hillsdale, NJ, 1994. Also available from http://www.cs.utk.edu/~mclennan.

[10] Bruce J. MacLennan. Image and symbol: Continuous computation and the emergence of the discrete. In Vasant Honavar and Leonard Uhr, editors, Artificial Intelligence and Neural Networks: Steps Toward Principled Integration, pages 207--24. Academic Press, New York, 1994. Also available from http://www.cs.utk.edu/~mclennan.

[11] Bruce J. MacLennan. Continuous formal systems: A unifying model in language and cognition. In Proceedings of the IEEE Workshop on Architectures for Semiotic Modeling and Situation Analysis in Large Complex Systems, pages 161--172, Monterey, CA, August 1995. Also available from http://www.cs.utk.edu/~mclennan.

[12] Bruce J. MacLennan. Field computation in motor control. In Pietro G. Morasso and Vittorio Sanguineti, editors, Self-Organization, Computational Maps and Motor Control, pages 37--73. Elsevier, 1997. Also available from http://www.cs.utk.edu/~mclennan.

[13] Bruce J. MacLennan. Synthetic ethology: A new tool for investigating animal cognition. In Colin Allen, Marc Bekoff, and Gordon Burghardt, editors, The Cognitive Animal: Empirical and Theoretical Perspectives on Animal Cognition. MIT Press, forthcoming.

[14] Bruce J. MacLennan and Gordon M. Burghardt. Synthetic ethology and the evolution of cooperative communication. Adaptive Behavior, 2(2):161--187, Fall 1993. Also available from http://www.cs.utk.edu/~mclennan.

[15] Bruce J. MacLennan, Noel Jerke, Rick Stroud, and Marc D. VanHeyningen. Neural network models of cognitive processes: 1990 progress report. Technical Report CS-90-125, University of Tennessee, Knoxville, Department of Computer Science, December 1990.

[16] Jason Noble and Dave Cliff. On simulating the evolution of communication. In P. Maes, M. Mataric, J.-A. Meyer, J. Pollack, and S. W. Wilson, editors, From Animals to Animats 4: Proceedings of the Fourth International Conference on Simulation of Adaptive Behavior, Cambridge, 1996. MIT Press.

[17] Luc Steels. Constructing and sharing perceptual distinctions. In M. van Someran and G. Widmer, editors, Proceedings of the European Conference on Machine Learning, Berlin, 1997. Springer-Verlag.

[18] Luc Steels. The synthetic modeling of language origins. Evolution of Communication, 1(1):1--34, 1997.