The creators of a system that integrates human and computer intelligence to support decision-making in crisis situations have been awarded a U.S. patent for a collaborative intelligent agent framework that "finds the sweet spot that combines machine intelligence working in tandem with human intelligence," says Pennsylvania State University professor John Yen.
Agent-based Collaborative Recognition-Primed Decision Making employs a Collaborative Agents for Simulating Teamwork framework augmented with a recognition-primed decision model to enhance analysis by connecting and sharing information using knowledge and experience distributed among team members.
The researchers say they devised a cognitive-aware software system that functions as a decision aid for human team members in various ways, including context-sensitive predictions of others' information requirements, proactive information/experience sharing, and collaborative situation evaluation. The framework utilizes an interacting team of software agents, each possessing specialized knowledge and processing capability, to analyze data, organize hypotheses, assess alternatives, determine what type of information is needed for a dynamic decision-making environment, and to support human analysts.
"This agent architecture can not only enhance the capabilities of anti-terrorist analysts in identifying terrorist threats, but also pave the way for the next generation of digital assistants that are 'personalized' not only for individuals, but also for teams," the researchers say.
From Penn State Live
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