A model of evolution and learning

Neural Networks

Volumn 18, Issue 5-6, 2005, Pages 738-745

  Red'ko, Vladimir G ^a   Mosalov, Oleg P ^b   Prokhorov, Danil V ^c  

^a RUSSIAN ACADEMY OF SCIENCES   (Russian Federation)

^b MOSCOW INSTITUTE OF PHYSICS AND TECHNOLOGY   (Russian Federation)

^c FORD MOTOR COMPANY   (United States)

Author keywords

Adaptive agents; Baldwin effect; Evolution; Learning; Neural network adaptive critic

Indexed keywords

ADAPTIVE ALGORITHMS; BEHAVIORAL RESEARCH; ONLINE SEARCHING;

ADAPTIVE AGENTS; BALDWIN EFFECTS; SELF LEARNING AGENTS; STOCK PRICES;

NEURAL NETWORKS;

ADAPTATION; ALGORITHM; ARTIFICIAL NEURAL NETWORK; BEHAVIOR; BIOLOGICAL MODEL; CONFERENCE PAPER; EVOLUTION; LEARNING; MATHEMATICAL ANALYSIS; PRIORITY JOURNAL; SIMULATION; ANIMAL; ANIMAL BEHAVIOR; ARTICLE; COMPUTER SIMULATION; GENETICS; INFORMATION SCIENCE; PHYSIOLOGY;

ALGORITHMS; ANIMALS; BEHAVIOR, ANIMAL; COMPUTER SIMULATION; EVOLUTION; GENETICS; INFORMATION THEORY; LEARNING; MODELS, NEUROLOGICAL;

EID: 27744584948     PISSN: 08936080     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neunet.2005.06.005     Document Type: Conference Paper

References (15)

1. D. Ackley, and M. Littman Interactions between learning and evolution C.G. Langton C. Taylor J.D. Farmer S. Rasmussen Artificial life II 1992 Addison-Wesley Reading, MA 487 509
2. J.M. Baldwin A new factor in evolution American Naturalist 30 1896 441 451
3. R.K. Belew M. Mitchell Adaptive individuals in evolving populations: models and algorithms 1996 Addison-Wesley Reading, MA
4. G.E. Hinton, and S.J. Nowlan How learning can guide evolution Complex Systems 1 1987 495 502
5. V.I. Kotlyar, and V.V. Shulgovsky Physiology of central nervous system 1979 Moscow State University Press Moscow (In Russian)
6. J. Moody, L. Wu, Y. Liao, and M. Saffel Performance function and reinforcement learning for trading systems and portfolios Journal of Forecasting 17 1998 441 470
7. V.A. Nepomnyashchikh Selection behaviour in caddis fly larvae R. Pfeifer From animals to animats 5: proceedings of the fifth international conference of the society for adaptive behavior 1998 MIT Press Cambridge, MA 155 160
8. V.A. Nepomnyashchikh How animals solve poorly-formalized search tasks V.I. Arshinov I.N. Trofimova V.M. Shendyapin Synergetics and Psychology Texts 2004 Cognito-Center Moscow 197 209 (In Russian)
9. D. Prokhorov, G. Puskorius, and L. Feldkamp Dynamical neural networks for control J. Kolen s. Kremer A field guide to dynamical recurrent networks 2001 IEEE Press New york, NY 257 289
10. D.V. Prokhorov, and D.C. Wunsch Adaptive critic designs IEEE Transactions on Neural Networks 8 1997 997 1007
11. V.G. Red'ko, O.P. Mosalov, and D.V. Prokhorov A model of Baldwin effect in populations of self-learning agents International joint conference on neural networks, IJCNN 2005, Proceedings, Montreal, Canada 2005
12. R. Sutton, and A. Barto Reinforcement learning: An introduction 1998 MIT Press Cambridge
13. R. Suzuki, and T. Arita Interactions between learning and evolution: Outstanding strategy generated by the Baldwin effect Biosystems 77 2004 57 71
14. B.H. Weber D.J. Depew Evolution and learning: The Baldwin effect reconsidered 2003 MIT Press Cambridge, MA
15. P.J. Werbos Approximate dynamic programming for real-time control and neural modeling D.A. White D.A. Sofge Handbook of intelligent control 1992 Van Nostrand Reinhold New York, NY 493 525