Feature discovery by competitive learning
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Proceedings of the first international conference on simulation of adaptive behavior on From animals to animats
Adaptation in natural and artificial systems
Adaptation in natural and artificial systems
Evolving visually guided robots
Proceedings of the second international conference on From animals to animats 2 : simulation of adaptive behavior: simulation of adaptive behavior
Genetic Algorithms in Search, Optimization and Machine Learning
Genetic Algorithms in Search, Optimization and Machine Learning
Readings in Machine Learning
Machine Learning
Emergent rough set data analysis
Transactions on Rough Sets II
| Hi-index | 0.00 |
The paper uses ideas from Machine Learning, ArtificialIntelligence and Genetic Algorithms to provide a model ofthe development of a ’fight-or-flight‘ response in asimulated agent. The modelled developmentprocess involves (simulated) processes of evolution,learning and representation development. The main value ofthe model is that it provides an illustration of how simplelearning processes may lead to the formation of structureswhich can be given a representational interpretation. Italso shows how these may form the infrastructure forclosely-coupled agent/environment interaction.