Spatial, temporal, and modulatory factors affecting GasNet evolvability in a visually guided robotics task

Complexity

Volumn 16, Issue 2, 2010, Pages 35-44

  Husbands, Philip ^a   Philippides, Andrew ^a   Vargas, Patricia ^b   Buckley, Christopher L ^a   Fine, Peter ^a   Di Paolo, Ezequiel ^a   O'Shea, Michael ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

^b HERIOT WATT UNIVERSITY   (United Kingdom)

Author keywords

Evolutionary robotics; Evolvability; GasNets; Neuromodulation; Volume signalling

Indexed keywords

EID: 78649698629     PISSN: 10762787     EISSN: 10990526     Source Type: Journal    
DOI: 10.1002/cplx.20336     Document Type: Article

References (28)

1. Gally, J.;Montague, P.;Reeke, G.;Edelman, G. The NO hypothesis: Possible effects of a short-lived, rapidly diffusible signal in the development and function of the nervous system. Proc Natl Acad Sci USA 1990, 87, 3547-3551.
2. Dawson, T.;Snyder, S. Gases as biological messengers: Nitric oxide and carbon monoxide in the brain. J Neurosci 1994, 14, 5147-5159.
3. Philippides, A.;Husbands, P.;O'shea, M. Four-dimensional neuronal signaling by nitric oxide: A computational analysis. J Neurosci 2000, 20, 1199-1207.
4. Hölscher, C. Nitric oxide, the enigmatic neuronal messenger: Its role in synaptic plasticity. TINS 1997, 20, 298-303.
5. Philippides, A.;Ott, S.;Husbands, P.;Lovick, T.;O'shea, M. Modeling co-operative volume signaling in a plexus of nitric oxide synthase-expressing neurons. J Neurosci 2005, 25, 6520-6532.
6. Bullock, T. H.;Bennett, M. V. L.;Johnston, D.;Josephson, R.;Marder, E.;Fields, R. D. The neuron doctrine, redux. Science 2005, 310, 791-793.
7. Katz, P., Ed. Beyond Neurotransmission: Neuromodulation and its Importance for Information Processing; Oxford University Press: Oxford, 1999.
8. Husbands, P.;Smith, T.;Jakobi, N.;O'shea, M. Better living through chemistry: Evolving GasNets for robot control. Connect Sci 1998, 10, 185-210.
9. McHale, G.;Husbands, P. Quadrupedal locomotion: Gasnets, ctrnns and hybrid ctrnn/pnns compared. In: Proceedings of the 9th International Conference on the Simulation and Synthesis of Living Systems (Alife IX); Pollack, J.;Bedau, M.;Husbands, P.;Ikegami, T.;Watson, R., Eds.; MIT Press: Cambridge, MA, 2004; pp. 106-112.
10. Smith, T.;Husbands, P.;O'shea, M. Local evolvability of statistically neutral gasnet robot controllers. Biosystems 2003, 69, 223-243.
11. Philippides, A.;Husbands, P.;Smith, T.;O'shea, M. Flexible couplings: Diffusing neuromodulators and adaptive robotics. Artif Life 2005, 11, 139-160.
12. Vargas, P.;Paolo, E. D.;Husbands, P. Exploring non-spatial gasnets in a delayed response robot task. In: Proceedings Alife XI; Bullock, S. et al., Ed.; MIT Press: Cambridge, MA, 2008; pp. 640-647.
13. Barañano, D.;Ferris, C.;Snyder, S. Atypical neural messengers. Trends Neurosci 2001, 24, 99-106.
14. McHale, G.;Husbands, P. Gasnets and other evovalble neural networks applied to bipedal locomotion. In: Proc. From Animals to Animats 8: Proceedings of the Eigth International Conference on Simulation of Adaptive Behavior (SAB'2004); Schaal, S., Ed.; MIT Press: Cambridge, MA, 2004; pp. 163-172.
15. Smith, T.;Husbands, P.;Philippides, A.;O'shea, M. Neuronal plasticity and temporal adaptivity: Gasnet robot control networks. Adapt Behav 2002, 10, 161-184.
16. Beer, R. D.;Gallagher, J. C. Evolving dynamical neural networks for adaptive behavior. Adapt Behav 1992, 1, 94-110.
17. Hollander, M.;Wolfe, D. Non-parametric statistical methods; Wiley: New York, 1999.
18. Doya, K. Metalearning and neuromodulation. Neural Netw 2002, 15, 495-506.
19. Port, R. F.;van Gelder, T., Eds. Mind as Motion: Explorations in the Dynamics of Cognition; MIT Press: Cambridge, MA, 1995.
20. Smith, T. The evolvability of artificial neural networks for robot control, PhD Thesis, University of Sussex, Brighton, 2002.
21. Buckley, C. A systemic analysis of the ideas immanent in neuromodulation, PhD Thesis, University of Southampton, Southampton, 2008.
22. Husbands, P. Evolving robot behaviors with diffusing gas networks. In: Evolutionary Robotics: First European Workshop, EvoRobot98, Lecture Notes in Computer Science 1468; Husbands, P.;Meyer, J.-A., Eds.; Springer Verlag: Berlin, 1998; pp. 71-86.
23. Macinnes, I.;DiPaolo, E. The advantages of evolving perceptual cues. Adapt Behav 2006, 14, 147-156.
24. Vargas, P.;Paolo, E. D.;Husbands, P. Preliminary investigations on the evolvability of a non-spatial gasnet model. In: Proceedings ECAL'07, Lecture Notes in Computer Science 4648; e Costa, F. A. et al., Ed.; Springer-Verlag: Berlin, 2007; pp. 966-975.
25. Dale, K.;Husbands, P. The evolution of reaction-diffusion controllers for minimally cognitive agents. Artif Life 2010, 16, 1-19.
26. Tononi, G.;Sporns, O.;Edelman, G. Measures of degeneracy and redundancy in biological networks. Proc Natl Acad Sci USA 1999, 96, 3257-3262.
27. Edelman, G.;Gally, J. Degeneracy and complexity in biological systems. Proc Natl Acad Sci USA 2001, 98, 13763-13768.
28. Fine, P.;Di Paolo, E.;Philippides, A. Spatially constrained networks and the evolution of modular control systems. In: From Animals to Animats 9: Proceedings of the Ninth International Conference on Simulation of Adaptive Behavior; Nolfi, S., Ed.; Springer Verlag: Berlin, 2006; pp. 546-557.