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.
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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
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Weinstein, P., Van Dyke Parunak, H., Chiusano, P., Brueckner, S. (2004). Hypothesis Corroboration in Semantic Spaces with Swarming Agents. In: Dorigo, M., Birattari, M., Blum, C., Gambardella, L.M., Mondada, F., Stützle, T. (eds) Ant Colony Optimization and Swarm Intelligence. ANTS 2004. Lecture Notes in Computer Science, vol 3172. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28646-2_49
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DOI: https://doi.org/10.1007/978-3-540-28646-2_49
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22672-7
Online ISBN: 978-3-540-28646-2
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