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Hypothesis Corroboration in Semantic Spaces with Swarming Agents

  • Peter Weinstein
  • H. Van Dyke Parunak
  • Paul Chiusano
  • Sven Brueckner
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3172)

Abstract

Our poster describes the architecture and innovative Swarm Intelligence algorithms of the Ant CAFÉ system that extracts and organizes textual evidence that corroborates hypotheses about the state of the world to support Intelligence analysts.

Keywords

Semantic Space Textual Evidence Swarm Intelligence Algorithm Evidence Assembly Digital Pheromone 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

References

  1. 1.
    Coffey, J.W., Hoffman, R.R., Cañas, A.J., Ford, K.M.: A Concept Map-Based Knowledge Modeling Approach to Expert Knowledge Sharing. In: Proceedings of IASTED International Conference on Information and Knowledge Sharing (2002)Google Scholar
  2. 2.
    Parunak, H.V.D.: ’Go to the Ant’: Engineering Principles from Natural Agent Systems. Annals of Operations Research 75, 69–101 (1997)zbMATHCrossRefGoogle Scholar
  3. 3.
    Miller, G.A.: WORDNET: An On-Line Lexical Database. Int. Journal of Lexicography 3(4), 235–312 (1990)CrossRefGoogle Scholar
  4. 4.
    Weinstein, P., Parunak, H.V.D., Chiusano, P., Brueckner, S.: Agents swarming in Semantic Spaces to Corroborate Hypotheses. Altarum Institute, Ann Arbor, MI (2004), http://www.altarum.net/~vparunak/AAMAS04AntCAFE.pdf

Copyright information

© Springer-Verlag Berlin Heidelberg 2004

Authors and Affiliations

  • Peter Weinstein
    • 1
  • H. Van Dyke Parunak
    • 1
  • Paul Chiusano
    • 1
  • Sven Brueckner
    • 1
  1. 1.Altarum InstituteAnn ArborUSA

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