Hypothesis Corroboration in Semantic Spaces with Swarming Agents

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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Bibliographische Detailangaben
Hauptverfasser:	Weinstein, Peter, Van Dyke Parunak, H., Chiusano, Paul, Brueckner, Sven
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Applied sciences Artificial intelligence Computer science control theory systems Digital Pheromone Evidence Assembly Exact sciences and technology Learning and adaptive systems Semantic Space Swarm Intelligence Algorithm Textual Evidence
Online-Zugang:	Volltext
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Beschreibung
Zusammenfassung:	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.
ISSN:	0302-9743 1611-3349
DOI:	10.1007/978-3-540-28646-2_49