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Modeling of cognitive evolution as a~perspective direction of investigations on the border of biology and mathematics
Matematičeskaâ biologiâ i bioinformatika, Tome 5 (2010) no. 2, pp. 215-229.

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The new direction of investigations, modeling of cognitive evolution that is evolution of animal cognitive abilities is proposed. Modeling of cognitive evolution is related with foundation of science, foundation of mathematics. The direction of research “Adaptive behavior” that includes the background of investigations of cognitive evolution is characterized. Models of adaptive behavior of autonomous agents that have cognitive abilities are described. The sketch program of future investigations of cognitive evolution is proposed. 
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V. G. Red'ko. Modeling of cognitive evolution as a~perspective direction of investigations on the border of biology and mathematics. Matematičeskaâ biologiâ i bioinformatika, Tome 5 (2010) no. 2, pp. 215-229. http://geodesic.mathdoc.fr/item/MBB_2010_5_2_a9/

[1] Kant I., “Kritika chistogo razuma”, Soch. v 6 t., v. 3, Mysl, M., 1964, 69–695, (data obrascheniya: 13.12.2010) http://www.philosophy.ru/library/kant/01/sod.html

[2] Kant I., “Prolegomeny ko vsyakoi buduschei metafizike, moguschei poyavitsya kak nauka”, Soch. v 6 t., Ch. 1, v. 4, Mysl, M., 1965, 67–210, (data obrascheniya: 13.12.2010) http://www.philosophy.ru/library/kant/metaf.html

[3] Lorents K., “Kantovskaya kontseptsiya a priori v svete sovremennoi biologii”, Evolyutsiya. Yazyk. Poznanie, eds. Merkulov I. P., Yazyki russkoi kultury, M., 2000, 15–41, (data obrascheniya: 13.12.2010) http://gfrkjh.narod.ru/lorenz/lorenz_apriori.html

[4] Idelson A. V. i Mints G. E. (red.), Matematicheskaya teoriya logicheskogo vyvoda, Nauka, M., 1967 | MR

[5] Turchin V. F., “A constructive interpretation of the full set theory”, Journal of Symbolic Logic, 52:1 (1987), 172–201 | DOI | MR | Zbl

[6] Turchin V. F., Fenomen nauki. Kiberneticheskii podkhod k evolyutsii, 1-e izd., Nauka, M., 1993 ; 2-е изд., ЭТС, М. (дата обращения: 13.12.2010) http://www.refal.ru/turchin/phenomenon/ | Zbl

[7] Proceedings of the First International Conference on Simulation of Adaptive Behavior, eds. Meyer J.-A., Wilson S. W., MIT Press, Cambridge, 1991

[8] Redko V. G. (red.), Ot modelei povedeniya k iskusstvennomu intellektu, Seriya “Nauki ob iskusstvennom”, Izd-vo URSS, M., 2006

[9] Nepomnyaschikh V. A., “Poisk obschikh printsipov adaptivnogo povedeniya zhivykh organizmov i animatov”, Novosti iskusstvennogo intellekta, 2002, no. 2, 48–53

[10] Donnart J. Y. and Meyer J. A., “Learning reactive and planning rules in a motivationally autonomous animat”, IEEE Transactions on Systems, Man, and Cybernetics – Part B: Cybernetics, 26:3 (1996), 381–395, (data obrascheniya: 13.12.2010) http://www.isir.upmc.fr/files/1996ACLI367.pdf | DOI

[11] Gaaze-Rapoport M. G., Pospelov D. A., Ot ameby do robota: modeli povedeniya, 1-e izd., Nauka, M., 1987 ; 2-е изд., УРСС, М., 2004 | MR

[12] Khaikin S., Neironnye seti: polnyi kurs, 2-e izd., Izdatelskii dom “Vilyams”, M., 2006

[13] Holland J. H., Adaptation in Natural and Artificial Systems, 1st edn., The University of Michigan Press, Ann Arbor, MI, 1975 ; 2nd edn., MIT Press, Boston, MA, 1992 | MR

[14] Holland J. H., Holyoak K. J., Nisbett R. E., Thagard P., Induction: Processes of Inference, Learning, and Discovery, MIT Press, Cambridge, 1986

[15] Sutton R., Barto A., Reinforcement Learning: An Introduction, MIT Press, Cambridge, 1998, (data obrascheniya: 13.12.2010) http://www.cs.ualberta.ca/~sutton/book/the-book.html

[16] Vaintsvaig M. N., Polyakova M. P., “O modelirovanii myshleniya”, Ot modelei povedeniya k iskusstvennomu intellektu, Seriya “Nauki ob iskusstvennom”, eds. Redko V. G., Izd-vo URSS, M., 2006, 280–286

[17] Proceedings of the Ninth International Conference on Simulation of Adaptive Behavior, LNAI, 4095, eds. Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Miglino O., Meyer J.-A., Parisi D., Springer Verlag, Berlin, Germany, 2006

[18] Wilson S. W., “The animat path to AI”, From Animals to Animats, Proceedings of the First International Conference on Simulation of Adaptive Behavior, eds. Meyer J.-A., Wilson S. W., MIT Press, Cambridge, 1991, 15–21

[19] Krichmar J. L., Seth A. K., Nitz D. A., Fleischer J. G., Edelman G. M., “Spatial navigation and causal analysis in a brain-based device modeling cortical-hippocampal interactions”, Neuroinformatics, 3:3 (2005), 197–221, (data obrascheniya: 13.12.2010) http://vesicle.nsi.edu/nomad/krichmar_neuroinf_2005.pdf | DOI

[20] Marocco D., Nolfi S., “Origins of communication in evolving robots”, From Animals to Animats 9, Proceedings of the Ninth International Conference on Simulation of Adaptive Behavior, LNAI, 4095, eds. Nolfi S., Baldassarre G., Calabretta R., Hallam J., Marocco D., Miglino O., Meyer J.-A., Parisi D., Springer Verlag, Berlin, Germany, 2006, 789–803, (data obrascheniya: 13.12.2010) http://laral.istc.cnr.it/Pubblicazioni/English/Book

[21] Nepomnyaschikh V. A., Popov E. E., Redko V. G., “Bionicheskaya model adaptivnogo poiskovogo povedeniya”, Izv. RAN. Teoriya i sistemy upravleniya, 2008, no. 1, 85–93, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/projects/rfbr/00180/publications/Nepomn7.pdf

[22] Gelfand I. M., Tsetlin M. L., “Printsip nelokalnogo poiska v zadachakh avtomaticheskoi optimizatsii”, DAN SSSR, 137:2 (1961), 295–298

[23] Nepomnyaschikh V..A., Redko V. G., “Biologicheski obosnovannyi metod formirovaniya poiskovogo povedeniya”, Dvenadtsataya natsionalnaya konferentsiya po iskusstvennomu intellektu s mezhdunarodnym uchastiem KII-2010, Trudy konferentsii, 4, Fizmatlit, M., 2010, 122–127, (data obrascheniya: 13.12.2010). http://www.niisi.ru/iont/ni/Publications/Redko/NepomnRedkoTv.pdf

[24] Redko V. G., Redko O. V., “Bionicheskaya model geneticheskoi assimilyatsii priobretaemykh navykov”, Nauchnaya sessiya NIYaU MIFI – 2010. KhII Vserossiiskaya nauchno-tekhnicheskaya konferentsiya “Neiroinformatika-2010”, Sbornik nauchnykh trudov. V 2-kh chastyakh. Ch. 1, NIYaU MIFI, M., 2010, 191–198, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Publications/Redko/Redko2Mephi102.pdf

[25] Redko V. G., Prokhorov D. V., “Neirosetevye adaptivnye kritiki”, Nauchnaya sessiya MIFI – 2004. VI Vserossiiskaya nauchno-tekhnicheskaya konferentsiya “Neiroinformatika-2004”, Sbornik nauchnykh trudov. Ch. 2, MIFI, M., 2004, 77–84, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/projects/rfbr/90197/rvgpdv.pdf

[26] Baldwin J. M., “A new factor in evolution”, American Naturalist, 30 (1896), 441–451, (data obrascheniya: 13.12.2010) http://www.brocku.ca/MeadProject/Baldwin/Baldwin_1896_h.html | DOI

[27] Turney P., Whitley D., Anderson R. (eds.), “Evolution, Learning, and Instinct: 100 Years of the Baldwin Effect”, Special Issue of Evolutionary Computation on the Baldwin Effect, 4:3 (1996)

[28] Grossberg S., “Classical and instrumental learning by neural networks”, Progress in Theoretical Biology, 3 (1974), 51–141, (data obrascheniya: 13.12.2010) http://cns-web.bu.edu/~steve/Gro1974ProgressTheorBiol.pdf

[29] Barto A. G., Sutton R. S., “Simulation of anticipatory responses in classical conditioning by neuron-like adaptive element”, Behav. Brain Res., 4 (1982), 221–235, (data obrascheniya: 13.12.2010) http://webdocs.cs.ualberta.ca/~sutton/papers/barto-sutton-82.pdf | DOI

[30] Butz M. V., Sigaud O., Pezzulo G., Baldassarre G. (eds.), Anticipatory Behavior in Adaptive Learning Systems: From Brains to Individual and Social Behavior, LNAI 4520, Springer Verlag, Berlin, Heidelberg, 2007 | Zbl

[31] Witkowski M., “An action-selection calculus”, Adaptive Behavior, 15:1 (2007), 73–97, (data obrascheniya: 13.12.2010) http://www.ee.ic.ac.uk/mark/papers/Witkowski 2007 An Action Selection Calculus AB15-1.pdf | DOI

[32] Prescott T. J., “Forced moves or good tricks in design space? Landmarks in the evolution of neural mechanisms for action selection”, Adaptive Behavior, 15:1 (2007), 9–31, (data obrascheniya: 13.12.2010) http://www.abrg.group.shef.ac.uk/content/attach/0008.prescott_AB07.pdf | DOI

[33] Vityaev E. E., Izvlechenie znanii iz dannykh. Kompyuternoe poznanie. Modeli kognitivnykh protsessov, NGU, Novosibirsk, 2006, (data obrascheniya: 13.12.2010) http://www.math.nsc.ru/AP/ScientificDiscovery/PDF/scientific_discovery.pdf

[34] Vityaev E. E., “Printsipy raboty mozga, soderzhaschiesya v teorii funktsionalnykh sistem P. K. Anokhina i teorii emotsii P. V. Simonova”, Neiroinformatika, 3:1 (2008), 25–78, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Journal/V3/N1/Vityaev.pdf

[35] Demin A. V., Vityaev E. E., “Logicheskaya model adaptivnoi sistemy upravleniya”, Neiroinformatika, 3:1 (2008), 79–108, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Journal/V3/N1/DeminVityaev.pdf

[36] Redko V. G., Beskhlebnova G. A., “Modelirovanie adaptivnogo povedeniya avtonomnykh agentov”, Neirokompyutery: razrabotka, primenenie, 2010, no. 3, 33–38, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Publications/Redko/RedkoBeskhlNc.pdf

[37] Butz M. V., Shirinov E., Reif K., “Self-organizing sensorimotor maps plus internal motivations yield animal-like behavior”, Adaptive Behavior, 18:3–4 (2010), 315–337, (data obrascheniya: 13.12.2010) http://www.coboslab.psychologie.uni-wuerzburg.de/fileadmin/ext00209/ user_upload/Publications/2010/ButzShirinovReif2010SelfOrganizingSensorimotorMaps PlusInternalMotivationsYieldAnimalLikeBehavior.pdf | DOI

[38] Redko V. G., Beskhlebnova G. A., “Model formirovaniya adaptivnogo povedeniya avtonomnykh agentov”, Integrirovannye modeli i myagkie vychisleniya v iskusstvennom intellekte, Sbornik nauchnykh trudov V Mezhdunarodnoi nauchno-prakticheskoi konferentsii. V 2 t., v. 1, Fizmatlit, M., 2009, 70–79, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Publications/Redko/RedkoBeskhlKolomna.pdf

[39] Beskhlebnova G. A., Redko V. G., “Model formirovaniya obobschennykh ponyatii avtonomnymi agentami”, Chetvertaya mezhdunarodnaya konferentsiya po kognitivnoi nauke, Tezisy dokladov: V 2 t., v. 1, TGU, Tomsk, 2010, 174–175, (data obrascheniya: 13.12.2010) http://www.niisi.ru/iont/ni/Publications/Redko/BeskhlRedkoTomsk.pdf