| EPSRC Reference: |
GR/N01118/01 |
| Title: |
COMPUTATIONAL MODELS OF LANGAUGE EVOLUTION IN MULTI- AGENT SYSTEMS |
| Principal Investigator: |
Cangelosi, Professor A |
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| Department: |
Computing |
| Organisation: |
University of Plymouth |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2000 |
Ends: |
31 August 2003 |
Value (£): |
47,417
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| EPSRC Research Topic Classifications: |
| Artificial Intelligence |
Languages & Linguistics |
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| EPSRC Industrial Sector Classifications: |
| No relevance to Underpinning Sectors |
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Summary on Grant Application Form |
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The aim of this research is to investigate and develop computational models of the origins and evolution of language and communication. This modelling approach will use artificial neural networks and genetic algorithms to simulate evolving populations of interacting autonomous agents. Models will be designed and tested to investigate the biological, neural, and adaptive mechanisms that lead to the evolution of language. The simulation will focus on the investigation of key questions in the theory of the evolution of language, such as the evolution and learning of symbols in neural networks, the emergence and adaptive role of lexicon and syntax, and Deacon's (1997) theory on the co-evolution of language and brain structures. A software for the simulation of the evolution of language in evolving population of neural networks will be implemented and used for experimental investigations. Simulations will be analysed to understand the role of neural and evolutionary mechanisms in language evolution. The research has potential applications in Robotics and Artificial intelligence for the development of adaptive and self-organising algorithms for communication in multi-agent and multi-robot systems. It is also of interest for the community of Computational Neuroscience and Cognitive Science.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| 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 |
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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.plym.ac.uk |