Metacognition and AI Systems
I am currently working with Tim Oates at the University of Maryland, Baltimore County at the Cognition, Robotics, and Learning Lab. We are developing a system called the MetaCognitive Loop (MCL), a general-purpose metareasoning system that endows AI systems with improved fault tolerance. MCL is modeled after human problem-solving, and entails discovery, assessment, and recovery from unanticipated failures in AI systems.

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Predicting Price Trends and Events in Financial Markets
Is it possible to beat the market? The efficient market hypothesis states that it is not possible to consistently outperform the market — appropriately adjusted for risk — by using any information that the market already knows, except through luck. But are financial markets truly efficient? Are there opportunities to trade outside the boundaries of the efficient market hypothesis that would allow one to consistently outperform market indices?

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