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Brave mobots use representation: emergence of representation in fight-or-flight learning
The paper uses ideas from Machine Learning, Artificial Intelligence and Genetic Algorithms to provide a model of the development of a 'fight-or-flight' response in a simulated agent. The modelled development process involves (simulated) processes of evolution, learning and representation development. The main value of the model is that it provides an illustration of how simple learning processes may lead to the formation of structures which can be given a representational interpretation. It also shows how these may form the infrastructure for closely-coupled agent/environment interaction.
History
Publication status
- Published
Journal
Minds and MachinesISSN
09246495Publisher
SpringerExternal DOI
Issue
4Volume
7Page range
475-494ISBN
0924-6495Department affiliated with
- Informatics Publications
Full text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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