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Details of Grant 

EPSRC Reference: GR/N01118/01
Title: COMPUTATIONAL MODELS OF LANGAUGE EVOLUTION IN MULTI- AGENT SYSTEMS
Principal Investigator: Cangelosi, Professor A
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computing
Organisation: University of Plymouth
Scheme: Standard Research (Pre-FEC)
Starts: 01 September 2000 Ends: 31 August 2003 Value (£): 47,417
EPSRC Research Topic Classifications:
Artificial Intelligence Languages & Linguistics
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
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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Organisation Website: http://www.plym.ac.uk