Paul Kogut
Abstract
Supporting counterterrorism analysts with software agents that dynamically anticipate their information requirements.
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Index Terms
- Proactive information gathering for homeland security teams
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Reviews
John W. Fendrich
This paper is a short report on the role of software agents in supporting a team of people in accomplishing a time-critical task related to US homeland security activities. The specific role discussed in the paper used collaborative agents for simulating teamwork (CAST). The paper and the work it reports on are the results of a collaborative project between Lockheed Martin and Pennsylvania State University's School of Information Sciences and Technology. The role presented is distinguished from others, such as control of agent-based systems (CoABs), within the US Defense Advance Research Projects Agency (DARPA), and STEAM (counter-strike games), because it enables agents to dynamically infer the information needs of teammates, using a shared mental model about the structure and processes of the team. The model is expressed in the multi-agent logic-based language for encoding teamwork (MALLET), a knowledge representation language. Incoming messages and documents are processed by the Management and Data Systems Intelligent Information Factory. The process extracts a shared memory model, captured in MALLET, and results in CAST agents triggering actions, and interacting with the reasoning infrastructure/world knowledge base (RTWKB), or other CAST agents, to present relevant, concise, personalized information to users. Web scraping, information extraction, and semantic Web markup are used to build the RTWKB. The authors suggest that the general architecture presented could be tailored for other application domains, such as supporting teams of investors in the financial domain, or teams of managers of large enterprises with diverse architectures. There is also a hint at further research directions, specifically on augmenting the architecture presented with machine learning. There is a six-item bibliography, as well as two uniform resource locators (URLs). The paper is quite short, and compact in its presentation. Online Computing Reviews Service
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