Brave Mobots Use Representation: Emergence of Representation in Fight-or-Flight Learning

Author: Thornton, C.

Source: Minds and Machines, Volume 7, Number 4, November 1997 , pp. 475-494(20)

Publisher: Springer

Buy & download fulltext article:


Price: $47.00 plus tax (Refund Policy)


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.

Keywords: Emergence; learning; representation

Document Type: Regular Paper

Affiliations: Cognitive and Computing Sciences, University of Sussex, Brighton, BN1 9QH, U.K.

Publication date: November 1, 1997

Related content


Free Content
Free content
New Content
New content
Open Access Content
Open access content
Subscribed Content
Subscribed content
Free Trial Content
Free trial content

Text size:

A | A | A | A
Share this item with others: These icons link to social bookmarking sites where readers can share and discover new web pages. print icon Print this page