Dynamics of Approximate Information Fusion

  • Authors:

  • Patrick Doherty;Barbara Dunin-Keplicz;Andrzej Szałas

  • Affiliations:

  • Dept. of Computer and Information Science, Linköping University, SE-581 83 Linköping, Sweden;Institute of Informatics, Warsaw University, Warsaw, Poland, ICS, Polish Academy of Sciences, Warsaw, Poland, and NIAS, 2242 PR Wassenaar, The Netherlands;Dept. of Computer and Information Science, Linköping University, SE-581 83 Linköping, Sweden and The University of Economics and Computer Science, Olsztyn, Poland

  • Venue:
  • RSEISP '07 Proceedings of the international conference on Rough Sets and Intelligent Systems Paradigms
  • Year:
  • 2007

Quantified Score

Hi-index 0.00

Visualization

Abstract

The multi-agent system paradigm has proven to be a useful means of abstraction when considering distributed systems with interacting components. It is often the case that each component may be viewed as an intelligent agent with specific and often limited perceptual capabilities. It is also the case that these agent components may be used as information sources and such sources may be aggregated to provide global information about particular states, situations or activities in the embedding environment. This paper investigates a framework for information fusion based on the use of generalizations of rough set theory and the use of dynamic logic as a basis for aggregating similarity relations among objects where the similarity relations represent individual agents perceptual capabilities or limitations. As an added benefit, it is shown how this idea may also be integrated into description logics.