Coevolution of intelligent agents using cartesian genetic programming

Proceedings of GECCO 2007: Genetic and Evolutionary Computation Conference

Volumn , Issue , 2007, Pages 269-276

  Khan, Gul Muhammad ^a   Miller, Julian Francis ^a   Halliday, David M ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Artificial neural networks; Brain; Co evolution; Genetic programming

Indexed keywords

BRAIN; CHROMOSOMES; DYNAMIC PROGRAMMING; GENETIC PROGRAMMING; INTELLIGENT AGENTS; NEURAL NETWORKS;

COMPLEX DYNAMICS; COMPUTATIONAL NETWORKS; DYNAMIC MORPHOLOGY; GENETIC TRANSFER;

EVOLUTIONARY ALGORITHMS;

EID: 34548084625     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1276958.1277013     Document Type: Conference Paper

References (27)

1. Koch, C., Segev, I. (2000), "The Role of Single Neurons in Information Processing", Nature Neuroscience Supplement, 3, 1171-1177
2. Stuart, G., Spruston, N., Hausser, M., eds. (2001), "Dendrites" , Oxford University Press.
3. Koza, J. R. (1992), Genetic Programming: "On the programming of computers by means of natural selection", Genetic Programming II: Automatic Discovery of Reusable Subprograms, (1994), MIT Press
4. Kleim, J.A., Napper, R.M.A., Swain, R.A., Armstrong, K.E., Jones, T.A., Greenough, W.T.(1998) "Selective synaptic plasticity in the cerebellar cortex of the rat following complex motor learning", Neurobiol. Learn. Mem. 69, 274-289.
5. Terje, Lmo.(2003), "The discovery of long-term potentiation", Philos. Trans. Roy. Soc. Lond. B,Biol Sci 358 (1432): 617-20.
6. Roberts, P.D., Bell, C.C.(2002), "Spike-timing dependent synaptic plasticity in biological systems", Biological Cybernetics, 87, 392-403.
7. Graham, B., (2002), "Multiple Forms of Activity-Dependent Plasticity Enhance Information Transfer at a Dynamic Synapse", J.R. Dorronsoro (Ed.): ICANN 2002, LNCS 2415, 4550, Springer-Verlag.
8. Panchev, C., Wermter, S., and Chen, H. (2002), " Spike-Timing Dependent Competitive Learning of Integrate-and-Fire Neurons with Active Dendrites", J.R. Dorronsoro (Ed.): ICANN 2002, LNCS 2415, 896901, Springer.
9. Miller, J. F., Thomson, P., and Fogarty, T. C. (1997), " Designing electronic circuits using evolutionary algorithms, arithmetic circuits: a case study. Genetic Algorithms and Evolution Strategies in Engineering and Computer Science", Wiley, 105-131.
10. Miller, J. F. and Thomson, P. (2000), "Cartesian genetic programming", in Proc. of EuroGP, LNCS, Vol. 1802, 121-132.
11. Miller, J. F. (2004), "Evolving a self-repairing, self-regulating, French flag organism", in Proc of GECCO, Deb. K. et al (Eds.), LNCS, Vol. 3102, Springer-Verlag, 129-139.
12. Miller, J. F. (2003), "Evolving Developmental Programs for Adaptation, Morphogenesis and Self-Repair", In Proc Eur. Conf. on Advances in Artif. Life, LNAI, Vol. 2801, 289-298, Springer.
13. Miller, J. F., Vassilev, V. K., and Job, D. (2000), "Principles in the Evolutionary Design of Digital Circuits-Part I. Genetic Programming", 1:1/2, 7-35.
14. Vassilev, V. K. and Miller, J. F. (2000). "The advantages of landscape neutrality in digital circuit evolution", In Proc. of ICES, LNCS, Vol. 1801, 252-263, Springer.
15. Yu, T. and Miller, J. (2001), "Neutrality and the evolvability of Boolean function landscape", In Proc. of EuroGP, LNCS, Vol. 2038, 204-217, Springer.
16. Yu, T. and Miller, J. (2002), "Finding needles in haystacks is not hard with neutrality", In Proc. of the 5th EuroGP, 13-25, Springer-Verlag.
17. Walker, J. A., and Miller, J. F.(2004), "Evolution and Acquisition of Modules in Cartesian Genetic Programming", Proc. of EuroGP, Vol. 3003, LNCS, 187-197, Springer.
18. Walker, J. A., Miller, J. F., and Cavill, R.(2006), "A multi-chromosome approach to standard and embedded cartesian genetic programming", In: Proc. of GECCO, Vol. 1, ACM Press, 903-910.
19. Kandel E. R., Schwartz, J. H., and Jessell (2000), "Principles of Neural Science", McGraw-Hill. 4th Edition, 67-70.
20. Shepherd, G. M. (1990), "The synaptic organization of the brain", Oxford Press.
21. Michael S.G., Richard B.I., George R.M. (1998), " Cognitive NeuroScience, The Biology of the Mind", W.W.Norton & Company,
22. Alberts B., et al. (2002), "Molecular Biology of the Cell", Garland Science, 3rd Edition.
23. Russell, S., and Norvig, P. (1995), "Artificial Intelligence, A Modern Approach", Prentice Hall.
24. Stanley, K., and Miikkulainen, R. (2004), " Competitive coevolution through evolutionary complexification", J. of AI Research, 21:63-100.
25. Paredis, Jan. (1995), "Coevolutionary Computation",Artificial Life, Vol. 2, 4, 355-375.
26. Hillis, W. (1990), "Co-evolving parasites improve simulated evolution as an optimization procedure", Physica D, 42,228-234.
27. Marcus G. (2004), "The Birth of the Mind", Basic Books, 165.