Autonomic and cognitive possibilities for information or neural-like systems using dynamic links

  • Authors:
  • Kieran Greer;Matthias Baumgarten;Maurice Mulvenna;Kevin Curran;Chris Nugent

  • Affiliations:
  • School of Computing and Mathematics and Computer Science Research Institute, University of Ulster, Newtownabbey, Northern Ireland, UK;School of Computing and Mathematics and Computer Science Research Institute, University of Ulster, Newtownabbey, Northern Ireland, UK;School of Computing and Mathematics and Computer Science Research Institute, University of Ulster, Newtownabbey, Northern Ireland, UK;School of Computing and Intelligent Systems and Computer Science Research Institute, University of Ulster, Newtownabbey, Northern Ireland, UK;School of Computing and Mathematics and Computer Science Research Institute, University of Ulster, Newtownabbey, Northern Ireland, UK

  • Venue:
  • WSEAS TRANSACTIONS on SYSTEMS
  • Year:
  • 2008

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Abstract

This paper will describe a vision for a new kind of information system that can dynamically self-organise and reason over its contents. The architecture is lightweight and would be suitable for an Internet-based environment, or alternatively, a mobile or pervasive sensorised environment. The lightweight architecture will rely on dynamic links, created through the query process, to self-organise. Results will show that the linking mechanism is reliable and can be combined with knowledge-based approaches, such as semantics, to provide extra functionality over what similar systems can currently provide. An overall architecture that could be called autonomic and cognitive will be suggested. This architecture could be used locally as part of a neural-like brain, or globally in a distributed information system. Autonomic features covered will be self-organisation and self-supervision, while different levels of reasoning will allow for an overall cognitive model that may even be able to think for itself.