Automatically assigned DDC number: 00631

Manually assigned DDC number: 00631

Number of references: 4

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

Author:

Author:

Subject: Chris Thornton,Bn Qh Brave Mobots use Representation: Emergence of Representation in Fight-or-Flight Learning

Description: 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. 1 Introduction In recent years there has been a rapid development in our understanding of the detailed mechanisms underlying the emergence of intelligent behaviour. Research on Machine Learning (ML) has introduced powerful new models of lifetime learning [Shavlik and Dietterich, 1990]. Research on Genetic Algorithms (GAs) and Artificial Life (ALife) has advanced our understanding of the role played...

Contributor: The Pennsylvania State University CiteSeer Archives

Publisher: unknown

Date: 1999-02-08

Format: ps

Identifier: http://citeseer.ist.psu.edu/149184.html

Source: http://www.cogs.susx.ac.uk/users/christ/papers/brave-mobots.ps

Language: en

Relation:

Relation:

Relation:

Relation:

Rights: unrestricted

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