EPSRC logo

Details of Grant 

EPSRC Reference: GR/R84221/01
Title: Molecular X-machines
Principal Investigator: Gheorghe, Professor M
Other Investigators:
Researcher Co-Investigators:
Project Partners:
Department: Computer Science
Organisation: University of Sheffield
Scheme: Fast Stream
Starts: 01 December 2002 Ends: 30 November 2005 Value (£): 56,708
EPSRC Research Topic Classifications:
Chemical Biology Fundamentals of Computing
New & Emerging Comp. Paradigms
EPSRC Industrial Sector Classifications:
No relevance to Underpinning Sectors
Related Grants:
Panel History:  
Summary on Grant Application Form
This proposal is aimed at defining and studying a variant of the X-machine paradigm coupled with the main features of the natural computing based models extracted out especially from P systems. From a theoretical perspective the computational power of these mechanisms, the properties of the family of languages associated, syntactical complexity properties and suggested hierarchies of languages defined will be investigated. By keeping the model suitable for system specification and testing and by adding new encapsulation features and parallel behaviour it will be not only a well defined part of P system theory, which itself is a component of natural computing theory, with a new modelling view, but it also turns out to be adequate for expressing more complex systems, object oriented or agent based. A tool supporting the specification and animation of systems modelled using these mechanisms will be developed.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.shef.ac.uk