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Volumn 8, Issue 11, 2013, Pages

On the relationships between generative encodings, regularity, and learning abilities when evolving plastic artificial neural networks

Author keywords

[No Author keywords available]

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; CONNECTOME; DATA PROCESSING; EVOLUTIONARY ALGORITHM; GENERAL LEARNING ABILITY; GENERATIVE ENCODING; LEARNING; NERVE CELL PLASTICITY; PROCESS OPTIMIZATION; SCORING SYSTEM;

EID: 84893423617     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0079138     Document Type: Article
Times cited : (29)

References (68)
  • 4
    • 84857509059 scopus 로고    scopus 로고
    • Encouraging behavioral diversity in evolutionary robotics: An empirical study
    • Mouret JB, Doncieux S (2012) Encouraging behavioral diversity in evolutionary robotics: An empirical study. Evolutionary computation 20: 91-133.
    • (2012) Evolutionary Computation , vol.20 , pp. 91-133
    • Mouret, J.B.1    Doncieux, S.2
  • 5
    • 0035080075 scopus 로고    scopus 로고
    • Brain size and number of neurons: An exercise in synthetic neuroanatomy
    • Braitenberg V (2001) Brain size and number of neurons: an exercise in synthetic neuroanatomy. Journal of computational neuroscience 10: 71-77.
    • (2001) Journal of Computational Neuroscience , vol.10 , pp. 71-77
    • Braitenberg, V.1
  • 7
    • 0033667165 scopus 로고    scopus 로고
    • Synaptic plasticity: Taming the beast
    • Abbott LF, Nelson SB (2000) Synaptic plasticity: taming the beast. Nature neuroscience 3: 1178-1183.
    • (2000) Nature Neuroscience , vol.3 , pp. 1178-1183
    • Abbott, L.F.1    Nelson, S.B.2
  • 9
    • 0036985854 scopus 로고    scopus 로고
    • Creating high-level components with a generative representation for body-brain evolution
    • Hornby GS, Pollack JB (2002) Creating high-level components with a generative representation for body-brain evolution. Artificial Life 8: 223-246.
    • (2002) Artificial Life , vol.8 , pp. 223-246
    • Hornby, G.S.1    Pollack, J.B.2
  • 12
    • 67650188046 scopus 로고    scopus 로고
    • A hypercube-based encoding for evolving large-scale neural networks
    • Stanley KO, D'Ambrosio DB, Gauci J (2009) A hypercube-based encoding for evolving large-scale neural networks. Artificial life 15: 185-212.
    • (2009) Artificial Life , vol.15 , pp. 185-212
    • Stanley, K.O.1    D'Ambrosio, D.B.2    Gauci, J.3
  • 13
    • 84901421359 scopus 로고    scopus 로고
    • Evolving modular genetic regulatory networks
    • Bongard J (2002) Evolving modular genetic regulatory networks. In: Proceedings of IEEE-CEC. volume 2, pp. 1872-1877.
    • (2002) Proceedings of IEEE-CEC , vol.2 , pp. 1872-1877
    • Bongard, J.1
  • 14
    • 34948839437 scopus 로고    scopus 로고
    • Analog Genetic Encoding for the Evolution of Circuits and Networks
    • Mattiussi C, Floreano D (2007) Analog Genetic Encoding for the Evolution of Circuits and Networks. Evolutionary Computation 11: 596-607.
    • (2007) Evolutionary Computation , vol.11 , pp. 596-607
    • Mattiussi, C.1    Floreano, D.2
  • 15
    • 0000556347 scopus 로고
    • Adding learning to the cellular development of neural networks: Evolution and the Baldwin effect
    • Gruau F, Whitley D (1993) Adding learning to the cellular development of neural networks: Evolution and the Baldwin effect. Evolutionary computation 1: 213-233.
    • (1993) Evolutionary Computation , vol.1 , pp. 213-233
    • Gruau, F.1    Whitley, D.2
  • 16
    • 77955917226 scopus 로고    scopus 로고
    • Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia
    • ACM
    • Mouret JB, Doncieux S, Girard B (2010) Importing the computational neuroscience toolbox into neuro-evolution-application to basal ganglia. In: Proceedings of GECCO. ACM, pp. 587-594.
    • (2010) Proceedings of GECCO , pp. 587-594
    • Mouret, J.B.1    Doncieux, S.2    Girard, B.3
  • 18
    • 0036972336 scopus 로고    scopus 로고
    • Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors
    • Niv Y, Joel D, Meilijson I, Ruppin E (2002) Evolution of Reinforcement Learning in Uncertain Environments: A Simple Explanation for Complex Foraging Behaviors. Adaptive Behavior 10: 5-24.
    • (2002) Adaptive Behavior , vol.10 , pp. 5-24
    • Niv, Y.1    Joel, D.2    Meilijson, I.3    Ruppin, E.4
  • 19
    • 0035650666 scopus 로고    scopus 로고
    • Evolution of adaptive synapses: Robots with fast adaptive behavior in new environments
    • Urzelai J, Floreano D (2001) Evolution of adaptive synapses: Robots with fast adaptive behavior in new environments. Evolutionary Computation 9: 495-524.
    • (2001) Evolutionary Computation , vol.9 , pp. 495-524
    • Urzelai, J.1    Floreano, D.2
  • 20
    • 79955215481 scopus 로고    scopus 로고
    • Evolving neuromodulatory topologies for reinforcement learning-like problems
    • Soltoggio A, Dürr P, Mattiussi C, Floreano D (2007) Evolving neuromodulatory topologies for reinforcement learning-like problems. In: Proceedings of IEEE-CEC. pp. 2471-2478.
    • (2007) Proceedings of IEEE-CEC , pp. 2471-2478
    • Soltoggio, A.1    Dürr, P.2    Mattiussi, C.3    Floreano, D.4
  • 21
    • 84874614281 scopus 로고    scopus 로고
    • Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios
    • Soltoggio A, Bullinaria JJA, Mattiussi C, Floreano D, Dürr P (2008) Evolutionary advantages of neuromodulated plasticity in dynamic, reward-based scenarios. In: Proceedings of ALIFE. volume 11, pp. 569-576.
    • (2008) Proceedings of ALIFE , vol.11 , pp. 569-576
    • Soltoggio, A.1    Bullinaria, J.J.A.2    Mattiussi, C.3    Floreano, D.4    Dürr, P.5
  • 22
    • 72749119270 scopus 로고    scopus 로고
    • Novelty of behaviour as a basis for the neuroevolution of operant reward learning
    • ACM
    • Soltoggio A, Jones B (2009) Novelty of behaviour as a basis for the neuroevolution of operant reward learning. In: Proceedings of GECCO. ACM, pp. 169-176.
    • (2009) Proceedings of GECCO , pp. 169-176
    • Soltoggio, A.1    Jones, B.2
  • 23
    • 78751668734 scopus 로고    scopus 로고
    • Evolving plastic neural networks with novelty search
    • Risi S, Hughes CE, Stanley KO (2010) Evolving plastic neural networks with novelty search. Adaptive Behavior 18: 470-491.
    • (2010) Adaptive Behavior , vol.18 , pp. 470-491
    • Risi, S.1    Hughes, C.E.2    Stanley, K.O.3
  • 24
    • 78249273956 scopus 로고    scopus 로고
    • Indirectly Encoding Neural Plasticity as a Pattern of Local Rules
    • Risi S, Stanley KO (2010) Indirectly Encoding Neural Plasticity as a Pattern of Local Rules. In: Proceedings of SAB. pp. 533-543.
    • (2010) Proceedings of SAB , pp. 533-543
    • Risi, S.1    Stanley, K.O.2
  • 28
    • 84860402468 scopus 로고    scopus 로고
    • Enhancing es-hyperneat to evolve more complex regular neural networks
    • ACM
    • Risi S, Stanley KO (2011) Enhancing es-hyperneat to evolve more complex regular neural networks. In: Proceedings of GECCO. ACM, pp. 1539-1546.
    • (2011) Proceedings of GECCO , pp. 1539-1546
    • Risi, S.1    Stanley, K.O.2
  • 29
    • 32444435664 scopus 로고    scopus 로고
    • Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design
    • ACM
    • Hornby GS (2005) Measuring, enabling and comparing modularity, regularity and hierarchy in evolutionary design. In: Proceedings of GECCO. ACM, pp. 1729-1736.
    • (2005) Proceedings of GECCO , pp. 1729-1736
    • Hornby, G.S.1
  • 32
    • 33744550336 scopus 로고    scopus 로고
    • Anatomy of a decision: Striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal
    • Frank MJ, Claus ED (2006) Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal. Psychological review 113: 300.
    • (2006) Psychological Review , vol.113 , pp. 300
    • Frank, M.J.1    Claus, E.D.2
  • 33
    • 49949152504 scopus 로고    scopus 로고
    • Where neuroscience and dynamic system theory meet autonomous robotics: A contracting basal ganglia model for action selection
    • Girard B, Tabareau N, Pham Q, Berthoz A, Slotine JJ (2008) Where neuroscience and dynamic system theory meet autonomous robotics: a contracting basal ganglia model for action selection. Neural Networks 21: 628-641.
    • (2008) Neural Networks , vol.21 , pp. 628-641
    • Girard, B.1    Tabareau, N.2    Pham, Q.3    Berthoz, A.4    Slotine, J.J.5
  • 34
    • 0035379660 scopus 로고    scopus 로고
    • A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour
    • Gurney K, Prescott TJ, Redgrave P (2001) A computational model of action selection in the basal ganglia. II. Analysis and simulation of behaviour. Biological cybernetics 84: 411-423.
    • (2001) Biological Cybernetics , vol.84 , pp. 411-423
    • Gurney, K.1    Prescott, T.J.2    Redgrave, P.3
  • 35
    • 33745749352 scopus 로고    scopus 로고
    • Emergence of attention within a neural population
    • Rougier N, Vitay J (2006) Emergence of attention within a neural population. Neural Networks 19: 573-581.
    • (2006) Neural Networks , vol.19 , pp. 573-581
    • Rougier, N.1    Vitay, J.2
  • 36
    • 67549130758 scopus 로고    scopus 로고
    • Principles of modularity, regularity, and hierarchy for scalable systems
    • Lipson H (2007) Principles of modularity, regularity, and hierarchy for scalable systems. Journal of Biological Physics and Chemistry 7: 125-128.
    • (2007) Journal of Biological Physics and Chemistry , vol.7 , pp. 125-128
    • Lipson, H.1
  • 38
    • 34547637393 scopus 로고    scopus 로고
    • Structure induction by lossless graph compression
    • IEEE
    • Peshkin L (2007) Structure induction by lossless graph compression. In: Data Compression Conference. IEEE, pp. 53-62.
    • (2007) Data Compression Conference , pp. 53-62
    • Peshkin, L.1
  • 39
    • 77956811151 scopus 로고    scopus 로고
    • Comparing biological networks via graph compression
    • Hayashida M, Akutsu T (2010) Comparing biological networks via graph compression. BMC systems biology 4: S13.
    • (2010) BMC Systems Biology , vol.4
    • Hayashida, M.1    Akutsu, T.2
  • 40
    • 0014257683 scopus 로고
    • Entropy and the complexity of graphs: I. An index of the relative complexity of a graph
    • Mowshowitz A (1968) Entropy and the complexity of graphs: I. an index of the relative complexity of a graph. The bulletin of mathematical biophysics 30: 175-204.
    • (1968) The Bulletin of Mathematical Biophysics , vol.30 , pp. 175-204
    • Mowshowitz, A.1
  • 41
    • 0014296467 scopus 로고
    • Entropy and the complexity of graphs: Ii. The information content of digraphs and infinite graphs
    • Mowshowitz A (1968) Entropy and the complexity of graphs: Ii. the information content of digraphs and infinite graphs. The Bulletin of mathematical biophysics 30: 225-240.
    • (1968) The Bulletin of Mathematical Biophysics , vol.30 , pp. 225-240
    • Mowshowitz, A.1
  • 43
    • 0002603293 scopus 로고
    • Practical graph isomorphism
    • McKay BD (1981) Practical graph isomorphism. Congressus Numerantium 30: 45-87.
    • (1981) Congressus Numerantium , vol.30 , pp. 45-87
    • McKay, B.D.1
  • 46
    • 33751051713 scopus 로고    scopus 로고
    • John Wiley & Sons Hoboken, NJ
    • Deb K (2001) Multi-objective optimization. John Wiley & Sons Hoboken, NJ, 13-46 pp.
    • (2001) Multi-objective Optimization , pp. 13-46
    • Deb, K.1
  • 48
    • 79957482984 scopus 로고    scopus 로고
    • Abandoning objectives: Evolution through the search for novelty alone
    • Lehman J, Stanley KO (2011) Abandoning objectives: Evolution through the search for novelty alone. Evolutionary computation 19: 189-223.
    • (2011) Evolutionary Computation , vol.19 , pp. 189-223
    • Lehman, J.1    Stanley, K.O.2
  • 49
    • 79952168756 scopus 로고    scopus 로고
    • Novelty-based multiobjectivization
    • New Horizons in Evolutionary Robotics, Springer
    • Mouret JB (2011) Novelty-based multiobjectivization. In: New Horizons in Evolutionary Robotics, Springer, volume 341 of Studies in computational intelligence. pp. 139-154.
    • (2011) Studies in Computational Intelligence , vol.341 , pp. 139-154
    • Mouret, J.B.1
  • 51
    • 0018692402 scopus 로고
    • The spandrels of San Marco and the panglossian paradigm: A critique of the adaptationist programme
    • Gould S, Lewontin R (1979) The spandrels of San Marco and the panglossian paradigm: a critique of the adaptationist programme. Proceedings of the Royal Society B: Biological Sciences 205: 581-598.
    • (1979) Proceedings of the Royal Society B: Biological Sciences , vol.205 , pp. 581-598
    • Gould, S.1    Lewontin, R.2
  • 52
    • 0037171822 scopus 로고    scopus 로고
    • Wiring optimization in cortical circuits
    • Chklovskii D, Schikorski T, Stevens C (2002) Wiring optimization in cortical circuits. Neuron 34: 341-347.
    • (2002) Neuron , vol.34 , pp. 341-347
    • Chklovskii, D.1    Schikorski, T.2    Stevens, C.3
  • 55
    • 0032216899 scopus 로고    scopus 로고
    • Variability Selection in Hominid Evolution
    • Potts R (1998) Variability Selection in Hominid Evolution. Evolutionary Anthropology 7: 81-96.
    • (1998) Evolutionary Anthropology , vol.7 , pp. 81-96
    • Potts, R.1
  • 56
    • 84889486485 scopus 로고    scopus 로고
    • Evolution on a restless planet: Were environmental variability and environmental change major drivers of human evolution?
    • Richerson P, Bettinger R, Boyd R (2005) Evolution on a restless planet: Were environmental variability and environmental change major drivers of human evolution? Handbook of evolution 2: 223-242.
    • (2005) Handbook of Evolution , vol.2 , pp. 223-242
    • Richerson, P.1    Bettinger, R.2    Boyd, R.3
  • 57
    • 0034213109 scopus 로고    scopus 로고
    • The complementary brain: Unifying brain dynamics and modularity
    • Grossberg S (2000) The complementary brain: unifying brain dynamics and modularity. Trends in cognitive sciences 4: 233-246.
    • (2000) Trends in Cognitive Sciences , vol.4 , pp. 233-246
    • Grossberg, S.1
  • 58
    • 60549103853 scopus 로고    scopus 로고
    • Complex brain networks: Graph theoretical analysis of structural and functional systems
    • Bullmore E, Sporns O (2009) Complex brain networks: graph theoretical analysis of structural and functional systems. Nature reviews Neuroscience 10: 186-98.
    • (2009) Nature Reviews Neuroscience , vol.10 , pp. 186-198
    • Bullmore, E.1    Sporns, O.2
  • 60
    • 0020118274 scopus 로고
    • Neural networks and physical systems with emergent collective computational abilities
    • Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proceedings of the national academy of sciences 79: 2554-2558.
    • (1982) Proceedings of the National Academy of Sciences , vol.79 , pp. 2554-2558
    • Hopfield, J.J.1
  • 63
    • 84860391193 scopus 로고    scopus 로고
    • Constraining Connectivity to Encourage Modularity in Hyper- NEAT
    • ACM
    • Verbancsics P, Stanley KO (2011) Constraining Connectivity to Encourage Modularity in Hyper- NEAT. In: Proceedings of GECCO. ACM, pp. 1483-1490.
    • (2011) Proceedings of GECCO , pp. 1483-1490
    • Verbancsics, P.1    Stanley, K.O.2
  • 64
    • 0036594106 scopus 로고    scopus 로고
    • Evolving neural networks through augmenting topologies
    • Stanley KO, Miikkulainen R (2002) Evolving neural networks through augmenting topologies. Evolutionary Computation 10: 99-127.
    • (2002) Evolutionary Computation , vol.10 , pp. 99-127
    • Stanley, K.O.1    Miikkulainen, R.2
  • 65
    • 70449775040 scopus 로고    scopus 로고
    • Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity
    • IEEE
    • Mouret JB, Doncieux S (2009) Overcoming the bootstrap problem in evolutionary robotics using behavioral diversity. In: Proceedings of CEC. IEEE, pp. 1161-1168.
    • (2009) Proceedings of CEC , pp. 1161-1168
    • Mouret, J.B.1    Doncieux, S.2
  • 66
    • 84860402460 scopus 로고    scopus 로고
    • How to promote generalisation in evolutionary robotics: The progab approach
    • ACM
    • Pinville T, Koos S, Mouret JB, Doncieux S (2011) How to promote generalisation in evolutionary robotics: the progab approach. In: Proceedings of GECCO. ACM, pp. 259-266.
    • (2011) Proceedings of GECCO , pp. 259-266
    • Pinville, T.1    Koos, S.2    Mouret, J.B.3    Doncieux, S.4
  • 67
    • 84874743067 scopus 로고    scopus 로고
    • With a little help from selection pressures: Evolution of memory in robot controllers
    • Ollion C, Pinville T, Doncieux S (2012) With a little help from selection pressures: evolution of memory in robot controllers. In: Proceedings of ALIFE. volume 13, pp. 407-414.
    • (2012) Proceedings of ALIFE , vol.13 , pp. 407-414
    • Ollion, C.1    Pinville, T.2    Doncieux, S.3
  • 68
    • 33947098452 scopus 로고    scopus 로고
    • From swimming to walking with a salamander robot driven by a spinal cord model
    • Ijspeert AJ, Crespi A, Ryczko D, Cabelguen JM (2007) From swimming to walking with a salamander robot driven by a spinal cord model. Science 315: 1416-1420.
    • (2007) Science , vol.315 , pp. 1416-1420
    • Ijspeert, A.J.1    Crespi, A.2    Ryczko, D.3    Cabelguen, J.M.4


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