Prírodou inšpirované algoritmy

študijné materiály pre projekt mobilnej triedy umelej inteligencie

Späť ku kurzom triedy
Obsah
Úvod
Prehľad Umelej Embryogenézy
Gramatický prístup
Bunková chémia
Jednotná perspektíva
Dimenzie vývoja
Budúci vývoj Umelej Embryogenézy
Literatúra a linky
O tejto kapitole



Ostatné kapitoly
Genetické algoritmy
Genetické programovanie
Umelá embryogenéza
Evolučný dizajn
Interaktívny evolučný výpočet
Ekogramatiky
Evolučný hardware


Tutoriály
 Celulárne automaty
 Morfogenéza
 Simulátory
 Evolučné algoritmy
 Chaos
 Roboty
 Rôzne


Literatúra a linky

  • Angeline, P.J. (1995). Morphogenic evolutionary computations: Introduction,issues and examples. In J.R.McDonnell, R.G.Reynolds, D.B.Fogel (Eds.),Evolutionary Programming IV: The Fourth Annual Conference on Evolutionary Programming (pp.387 – 401). Cambridge, MA:MIT Press.
  • Astor, J.S., Adami, C. (2000). A developmental model for the evolution of arti ?cial neural networks. Arti?cial Life, 6 (3), 189 – 218.
  • Bentley, P.J., Kumar,S. (1999). The ways to grow designs: A comparison of embryogenies for an evolutionary design problem. In Proceedings of the Genetic and Evolutionary Computation Conference (GECCO-1999) (pp.35 – 43). San Francisco, CA: Morgan Kaufmann.
  • Cangelosi, A., Parisi, D., Nolfi, S. (1993). Cell division and migration in a genotype for neural networks (Tech.Rep.PCIA-93).Rome: Institute of Psychology, C.N.R.
  • Dellaert, F. (1995). Toward a biologically defensible model of development. Master’s thesis, Case Western Reserve University, Cleveland, OH.
  • Dellaert,F., Beer, R.D. (1994). Co-evolving body and brain in autonomous agents using a developmental model (Tech.Rep.CES-94-16). Cleveland, OH: Dept.of Computer Engineering and Science, Case Western Reserve University.
  • Dellaert, F., Beer, R.D. (1994). Toward an evolvable model of development for autonomous agent synthesis. In R.A.Brooks P.Maes (Eds.), Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems (Arti?cial Life IV). Cambridge, MA: MIT Press.
  • Fleischer, K., Barr, A.H. (1993). A simulation testbed for the study of multicellular development: The multiple mechanisms of morphogenesis. In C.G.Langton (Ed.), Arti?cial life III (pp.389 – 416). Reading, MA: Addison-Wesley.
  • Hornby, G.S., Pollack, J.B. (2001). The advantages of generative grammatical encodings for physical design. In Proceedings of the 2002 Congress on Evolutionary Computation.Piscataway, NJ: IEEE Press.
  • Hornby, G.S., Pollack, J.B. (2001). Body-brain co-evolution using L-systems as a generative encoding. In L.Spector, E.D.Goodman, A.Wu, W.B.Langdon, H.-M.Voigt, M.Gen, S.Sen, M.Dorigo, S.Pezeshk, M.H.Garzon, E.Burke (Eds.),Proceedings of the Genetic and Evolutionary Computation Conference. San Francisco, CA: Morgan Kaufmann.
  • Hornby, G.S., Pollack, J.B. (2002). Creating high-level components with a generative representation for body-brain evolution. Arti?cial Life, 8 (3).
  • Jakobi, N. (1995). Harnessing morphogenesis. In Proceedings of Information Processing in Cells and Tissues (pp.29 –41). Liverpool, UK:University of Liverpool.
  • Komosinski, M., Rotaru-Varga, A. (2001). Comparison of different genotype encodings for simulated 3D agents. Arti?cial Life, 7 (4), 395 – 418.
  • Lindenmayer, A. (1968). Mathematical models for cellular interaction in development: Parts I and II. Journal of Theoretical Biology, 18 , 280 – 299, 300 – 315.
  • Nolfi, S., Parisi, D. (1991). Growing neural networks (Tech.Rep.PCIA-91-15). Rome: Institute of Psychology, C.N.R.
  • Turing, A. (1952). The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society B, 237 , 37 – 72.
  • Vaario, J. (1994). From evolutionary computation to computational evolution. Informatica, 18(4), 417–434.
  • Boers, E. J., & Kuiper, H. (1992). Biological metaphors and the design of modular artificial neural networks. Master’s thesis, Departments of Computer Science and Experimental and Theoretical Psychology, Leiden University, The Netherlands.
  • Sims, K. (1994). Evolving 3D morphology and behavior by competition. In R. A. Brooks & P. Maes (Eds.), Proceedings of the Fourth International Workshop on the Synthesis and Simulation of Living Systems (Artificial Life IV) (pp. 28–39). Cambridge, MA: MIT Press.
  • Kauffman, S. A. (1993). The origins of order. New York: Oxford University Press.
  • Bongard, J. C. (2002). Evolving modular genetic regulatory networks. In Proceedings of the 2002 Congress on Evolutionary Computation. Piscataway, NJ: IEEE Press.
  • Bongard, J. C., & Paul, C. (2000). Investigating morphological symmetry and locomotive efficiency using virtual embodied evolution. In Proceedings of the Sixth International Conference on Simulation of Adaptive Behavior (pp. 420–429). Cambridge, MA: MIT Press.
  • Bongard, J. C., & Pfeifer, R. (2001). Repeated structure and dissociation of genotypic and phenotypic complexity in artificial ontogeny. In L. Spector, E. D. Goodman, A. Wu, W. B. Langdon, H.-M. Voigt, M. Gen, S. Sen, M. Dorigo, S. Pezeshk, M. H. Garzon, & E. Burke (Eds.), Proceedings of the Genetic and Evolutionary Computation Conference (pp. 829–836). San Francisco, CA: Morgan Kaufmann.
  • Belew, R. K., & Kammeyer, T. E. (1993). Evolving aesthetic sorting networks using developmental grammars. In S. Forrest (Ed.), Proceedings of the Fifth International Conference on Genetic Algorithms. San Francisco, CA: Morgan Kaufmann.
  • Eggenberger, P. (1997). Evolving morphologies of simulated 3D organisms based on differential gene expression. In P. Husbands & I. Harvey (Eds.), Proceedings of the Fourth European Conference on Artificial Life (pp. 205–213). Cambridge, MA: MIT Press.
  • Gruau, F. (1993). Genetic synthesis of modular neural networks. In S. Forrest (Ed.), Proceedings of the Fifth International Conference on Genetic Algorithms (pp. 318–325). San Francisco, CA: Morgan Kaufmann.
  • Gruau, F. (1994). Neural network synthesis using cellular encoding and the genetic algorithm. Doctoral dissertation, Ecole Normale Superieure de Lyon, France.
  • Gruau, F., Whitley, D., & Pyeatt, L. (1996). A comparison between cellular encoding and direct encoding for genetic neural networks. In J. R. Koza, D. E. Goldberg, D. B. Fogel, & R. L. Riolo (Eds.), Genetic Programming 1996: Proceedings of the First Annual Conference (pp. 81–89). Cambridge, MA: MIT Press.
  • Luke, S., & Spector, L. (1996). Evolving graphs and networks with edge encoding: Preliminary report. In J. R. Koza (Ed.), Late-breaking papers of genetic programming 1996. Stanford, CA: Stanford Bookstore.
  • Kitano, H. (1990). Designing neural networks using genetic algorithms with graph generation system. Complex Systems, 4, 461–476.
  • Chemická báza morfogenézy - popisuje reakèno-difúznu teóriu formovania vzoriek a ukazuje jej aplikaèný potenciál.
  • www.biota.org - odkaz na Simsove experimenty
  • L-systémy - teória L-systémov

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Kontakt: Marek Bundzel