Incremental evolution of neurocontrollers with a diffusion-reaction mechanism of neuromodulators

IEEE International Conference on Intelligent Robots and Systems

Volumn 4, Issue , 2001, Pages 2384-2391

  Kawai, Katsumi ^a   Ishiguro, Akio ^a   Eggenberger, Peter ^a  

^a NAGOYA UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

AUTONOMOUS AGENTS; COMPUTER SIMULATION; NEURAL NETWORKS; PERTURBATION TECHNIQUES;

DIFFUSION-REACTION MECHANISM; INCREMENTAL EVOLUTION; NEUROCONTROLLERS; NEUROMODULATORS;

ROBOTICS;

EID: 0035558149     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Purposive behavior acquisition for a real robot by vision-based reinforcement learning
2. Evolution of plastic neurocontrollers for situated agents
3. Incremental evolution of neural network architectures for adaptive behaviour
4. Training agents to perform sequential behavior
5. Toward seamless transfer from simulated to real worlds: A dynamically-rearranging neural network approach
6. Automatic creation of an autonomous agent: Genetic evolution of a neural-network driven robot
7. Neuromodulation and cortical function: Modeling the physiological basis of behavior
8. Switching of a neuron from one network to another by sensory-induced changes in membrane properties
9. Construction of a pattern-generating circuit with neurons of different networks
10. Evolving non-trivial behaviors on real robots: A garbage collecting robot
11. Evolution by gene duplication