Adapting to your body

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 4648 LNAI, Issue , 2007, Pages 203-212

  Fine, Peter ^a   Di Paolo, Ezequiel ^a   Izquierdo, Eduardo ^a  

^a UNIVERSITY OF SUSSEX   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

EVOLUTIONARY ALGORITHMS; ROBOTICS; SENSORS;

PHOTOTAXIS TASK; SENSORIMOTOR DYNAMICS;

INTELLIGENT AGENTS;

EID: 38049089780     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-74913-4_21     Document Type: Conference Paper

References (12)

1. Beer, R.D.: On the dynamics of small continuous-time recurrent neural networks. Adaptive Behavior 3(4), 471-511 (1995)
2. Bi, G.Q., Poo, M.M.: Synaptic modifications in cultured hippocampal neurons: dependence on spike timing, synaptic strength, and postsynaptic cell type. Journal of Neuroscience 18, 10464-10472 (1998)
3. Bongard, J., Zykov, V., Lipson, H.: Resilient Machines Through Continuous Self-Modeling. Science 314(5802), 1118-1121 (2006)
4. Di Paolo, E.A.: Homeostatic adaptation to inversion of the visual field and other sensorimotor disruptions. In: Meyer, J.-A., et al. (eds.) Proc. of the Sixth Int. Conf. on the Simulation of Adaptive Behavior, pp. 440-449. MIT Press, Cambridge (2000)
5. Floreano, D., Urzelai, J.: Neural Morphogenesis, Synaptic Plasticity, and Evolution. Theory in Biosciences 120(3-4), 225-240 (2001)
6. Hölscher, C.: Nitric Oxide, the Enigmatic Neuronal Messener: its Role in Synaptic Plasticity. Trends in Neuronscience 20, 298-303 (1997)
7. Izquierdo-Torres, E., Harvey, I.: Learning on a Continuum in Evolved Dynamical Node Networks. In: Rocha, L., et al. (eds.) Proc. of the Tenth Int. Conf. on the Simulation and Synthesis of Living Systems, pp. 507-512. MIT Press, Cambridge (2006)
8. O'Regan, J.K., Noë, A.: A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences 24(5), 939-1011 (2001)
9. Phattanasri, P., Chiel, H.J., Beer, R.D.: The dynamics of associative learning in evolved model circuits. Submitted to Adaptive Behavior.
10. Philipona, D., O'Regan, J.K., Nadal, J.P., Coenen, O.J.-M.D.: Perception of the structure of the physical world using unknown sensors and effectors. Advances in Neural Information Processing Systems 15 (2004)
11. Tuci, E., Quinn, M., Harvey, I.: An evolutionary ecological approach to the study of learning behaviour using a robot based model. Adaptive Behavior 10(3), 201-221 (2003)
12. Yamauchi, B., Beer, R.D.: Integrating reactive, sequential and learning behavior using dynamical neural networks. In: Cliff, D., et al. (eds.) Proc. of the Third Int. Conf. on Simulation of Adaptive Behavior, pp. 382-391. MIT Press, Cambridge (1994)