1. A.Cangelosi and D. Parisi. The emergence of language in an evolving population of neural networks. In Proceedings of the 18 th Conference of the Cognitive Science Society, San Diego, 1996

2. De Bourcier, P. and M Wheeler (1997). The truth is out there : The evolution of reliability in aggressive communications systems. In P.Husbands and I. Harvey (Eds); Fourth European Conference on Artificial Life; pp. 444 453. Cambridge; MA: MIT Press.

3. Di Paulo, E.(1997). An investigation into the evolution of communication. Adaptive Behaviour 6, 285 324.

4. Werner, G. and P. Todd (1997). Too manty love songs: Sexual selection and the evolution of communication. In P.Husbands and I. Harvey (Eds); Fourth European Conference on Artificial Life; pp. 434 443. Cambridge; MA: MIT Press.

5. Noble, J. (1998). Evolved signals: Expensive hype vs. conspiratorial whispers. In C. Adami, R. Belew, H. Kitano, and C. Taylor (Eds), Artificial Life 6: Proceedings of the Sixth International Conference on Artificial Life. Cambridge, MA: MIT Press.

6. Oliphant, M. The dilemma of Saussurean communication. Biosystems, 37 (1-2):31-38.

7. Bullock, S. (1997). An exploration of signalling behaviour by both analytic and simulation means for both discrete and continuous models. In Husbands, P., & Harvey, I. (Eds.), 14 Proceedings of the Fourth European Conference on Artificial Life (ECAL'97), pp. 454--463. MIT Press / Bradford Books, Cambridge, MA.

8. Hutchins, E. and B. Hazelhurst (1995). How to invent a lexicon: The development of shared symbols in interaction. In N. Gilbert and R. Conte (Eds), Artificial Societies: the computer simulation of social life. London: UCL Press.

9. Steels, L. and P. Vogt (1997) Grounding adaptive language game sin robotic agents. In P.Husbands and I. Harvey (Eds); Fourth European Conference on Artificial Life; pp. 474 482. Cambridge; MA: MIT Press.

10. Cangelosi, A. & Parisi, D. (1996). The emergence of a "language" in an evolving population of neural networks. 18th Conference of the Cognitive Science Society, San Diego.

11. F. Kaplan. A new approach to class formation in multi-agent simulations of language evolution. In Proceedings of the Third International Conference on Multi Agent Systems ICMAS'98. IEEE Computer Society Press, 1998.

12. L. Steels and F. Kaplan. Situated grounded word semantics. In T. Dean, editor, Proceedings of the Sixteenth International Joint Conference on Articial Intelligence IJCAI'99, pages 862-867, San Francisco, CA., 1999. Morgan Kaufmann Publishers.

13. Vogt, P. Grounding Language About Actions: Mobile Robots Playing Follow Me Games (2000)

14. De Jong, E. D. (1998). Coordination developed by learning from evaluations. AI-MEMO 98-13, Vrije Universiteit Brussel, AI Lab.

15. Humphrys, Mark (1996). Action Selection Methods using Reinforcement Learning. In P. Maes et. al. (Ed s), From Animals to Animats: Proceedings of the Fourth International Conference on Simulation of Adaptive Behaviour: MIT Press/Bradford Books.

16. Humphrys, Mark (1997) Action Selection Methods using Reinforcement Learning. PhD thesis, Cambridge University. http://www.compapp.dcu.ie/~humphrys/

17. Watkins, C. J.C.H. (1989). Learning from delayed rewards, PhD thesis, University of Cambridge, Psychology department.

18. Humphrys, Mark (2001), Distributing a Mind on the Internet: The World-Wide-Mind, submitted to the 6th European Conference on Artificial Life (ECAL-01) The Origin of the Speeches: language evolution through collaborative reinforcement learning.