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Brave mobots use representation: emergence of representation in fight-or-flight learning

journal contribution
posted on 2023-06-08, 09:07 authored by Chris ThorntonChris Thornton
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 Machines

ISSN

09246495

Publisher

Springer

Issue

4

Volume

7

Page range

475-494

ISBN

0924-6495

Department affiliated with

  • Informatics Publications

Full text available

  • No

Peer reviewed?

  • Yes

Legacy Posted Date

2012-02-06

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