Geodesic
Simulating the automatic morphogenesis of the virtual > agents
News of the Kabardin-Balkar scientific center of RAS, no. 2 (2006), pp. 75-85.

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Basing on the analysis of the process of the morphogenesis of real biological organisms the basic principles of sim-ulation of the genomic control over the morphogenesis of a virtual agent in a physically-correct environment are formulated. The complex agent’s body model consisting of different functional subsystems was developed. The notion of the macrocell comprising the minimal further indivisible functional unit of the virtual agent’s organism was introduced. The timing algorithm for the genetically conditioned processes of regeneration and division of the agent’s microcells was worked out. The problem of forming the agents with the morphology that is locally optimal for the given environment is formulated as multi-generation optimization problem in the genetic algorithm. The fitness function is defined as the agent’s life duration. The boundaries are determined by the physically-correct environment and the deficit of energy in the environment. The chromosomes are the agents’ genomes. The exper-iments on the morphogenesis of the agent’s lower extremities under the conditions of energy deficit and excess were carried out.
Keywords: virtual agent, genomic control, optimization 
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Z. V. Nagoev. Simulating the automatic morphogenesis of the virtual <> agents. News of the Kabardin-Balkar scientific center of RAS, no. 2 (2006), pp. 75-85. http://geodesic.mathdoc.fr/item/IZKAB_2006_2_a7/

[1] Z. V. Nagoev, “Intellektualnye virtualnye agenty v fizicheski korrektnykh sredakh”, Izvestiya KBNTs RAN, 2005, no. 1 (13), 53–65

[2] Z. V. Nagoev, Model predstavleniya smysla tekstovoi informatsii, Dissertatsiya na soiskanie uchenoi stepeni kandidata tekhnicheskikh nauk, Nalchik, 1999, 162 pp.

[3] Z. V. Nagoev, Upravlenie morfogenezom virtualnogo «fizicheski korrektnogo» agenta na osnove geneticheskoi informatsii, Izdatelstvo KBNTs RAN, Nalchik, 2006

[4] Z. V. Nagoev, A. I. Boziev, B. K. Buzdov, “Chelovekopodobnyi agent v virtualnoi fizicheski korrektnoi srede”, Izvestiya KBNTs RAN, 2005, no. 2 (14), 68–81

[5] Z. V. Nagoev, O. A. Elekova, M. I. Anchekov, Interaktivnaya sreda obucheniya virtualnykh chelovekopodobnykh agentov intellektualnomu povedeniyu, Izd-vo KBNTs RAN, Nalchik, 2006

[6] V. G. Redko, Lektsii po evolyutsionnoi kibernetiki http://www.keldysh.ru/pages/BioCyber/Lectures

[7] V. G. Redko, Z. B. Sokhova, O. P. Mosalov, Z. V. Nagoev, “Estestvennaya model iskusstvennoi zhizni”, Trudy XLVI nauchnoi konferentsii MFTI «Sovremennye problemy fundamentalnykh i prikladnykh nauk», v. chast 1 «Radiotekhnika i kibernetika», MFTI, Moskva-Dolgoprudnyi, 2003, 31–33 pp.

[8] M. L. Anderson, “Embodied cognition: a field guide”, Artificial Intelligence, 149:1 (2003), 31–33 | DOI | MR

[9] R. Aylett, M. Luck, “Applying artificial intelligence to virtual reality: intelligent virtual environments”, Applied artificial intelligence, 14:1 (2000), 3–32 | DOI

[10] D. Cliff, “Biologically-inspired computing approaches to cognitive systems: a partial tour of the literature”, HP Labs. Technical Report HPL- 2003, 2003–011 www.hpl,hp.com/techreports/2003/HLP-200-11.pdf

[11] D. Fontijne, “Rigid Body Simulation and Evolution of virtual creatures”, Master's Thesis, 2000, 111, University of Amsterdam

[12] I. Harvey, E. Di Paolo, E. Tuci, R. Wood, M. Quinn, “Evolutionary Robotics: a New scientific tool for studying cognition”, Artificial systems, 11:1-2 (2005), 79–98

[13] J. H. Holland, Adaptation in Natural and Artificial systems, University of Michigan Press | MR

[14] J. R. Koza, M. A. Keane, M. J. Streeter, W. Mydlowec, Yu J, \., G. Lanza, Genetic programming IV: Routine Human-Competitive machine intelligence, Kluwer academic publishers, 2003

[15] G. D. Ruebsamen, Evolving intelligent embodied agents within a physically accurate environment, California state University, Long Beach, 1–4 pp.

[16] K. Sims, “Evilving virtual creatures”, Computer graphics Annual conference proceedings, 1994, 43–50

[17] J. C.Jr. Schaaf, F. L. Thompson, “System concept development with virtual prototyping”, Winter simulation conference, 1997, 941–947

[18] L. Yaeger, “Computational genetics, physiology, learning, vision and Behavior or polyword: life in a new context”, Artificial Life III., 263–298, Addision-Wesley