Agents Swarming in Semantic Spaces to Corroborate Hypotheses
Peter C. Weinstein, H. Van Dyke Parunak, Paul Chiusano, Sven Brueckner · 2004
To anticipate and prevent acts of terrorism, Indications and Warnings analysts try to connect clues gleaned from massive quantities of complex data. Multi-agent approaches to support Indications and Warnings are appropriate because ownership and security issues fragment the data. Furthermore, the massive scale of the data suggests the need for large numbers of agents. The Ant CAFE...