Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: 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 system uses fine-grained swarming agents to extract and organize textual evidence that corroborates hypotheses about the state of the world. Multiple swarming processes are required, including the clustering of paragraphs, identification of semantic relations in text, and assembly of evidence into structures that instantiate the hypothesis. These processes occur in semantic spaces defined using the WordNet ontology.  describes an Ant CAFE prototype. It describes the systemýs architecture, and provides detail on the innovative algorithm for evidence assembly. Initial experiments using artificially generated data confirm that a global property that  call "clarity" emerges from agent decisions made in a local, and therefore scalable, manner.
['Peter Weinstein', 'H. Van Dyke Parunak', 'Paul Chiusano', 'Sven Brueckner']
I am writing a research paper on a idea Agents Swarming in Semantic Spaces to Corroborate Hypotheses
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