EPSRC Reference: |
GR/R80469/01 |
Title: |
ROPA: Toward Intelligent Autonomous Systems: A Learning Classifier System Approach to Neural Communications |
Principal Investigator: |
Bull, Professor L |
Other Investigators: |
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Researcher Co-Investigators: |
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Project Partners: |
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Department: |
Faculty of Environment and Technology |
Organisation: |
University of the West of England |
Scheme: |
ROPA |
Starts: |
01 August 2002 |
Ends: |
31 January 2004 |
Value (£): |
71,539
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EPSRC Research Topic Classifications: |
Artificial Intelligence |
New & Emerging Comp. Paradigms |
Robotics & Autonomy |
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EPSRC Industrial Sector Classifications: |
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Related Grants: |
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Panel History: |
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Summary on Grant Application Form |
For artificial entities to achieve true autonomy and display complex life-like behaviour they will need to exploit appropriate adaptable learning algorithms. In this sense adaptability implies flexibility guided by the environment at any given time and an open-ended ability to learn novel behaviours. This project will examine the potential of neural constructivism within an evolutionary computing-based production system architecture to realise such behaviour. Experimentation will focus on examining the approach as a means to control a mobile robot in simulation and then in a number of real environments. Increasing levels of complexity within the constructive learning will be investigated.
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Key Findings |
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Potential use in non-academic contexts |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
Summary |
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Date Materialised |
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Sectors submitted by the Researcher |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Project URL: |
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Further Information: |
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Organisation Website: |
http://www.uwe.ac.uk |