Jihie Kim

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Abbreviated Research Biography

Computer scientist in the USC Information Sciences Institute (ISI) at the University of Southern California (USC). Received Ph.D. in computer science from the University of Southern California in 1996, M.S. and B.S. in computer science and statistics at the Seoul National University in 1988 and 1990, respectively.

Research Interests

My research interests lie on artificial intelligence. Primiary interests include machine learning, intelligent agents, rule-based systems, knowledge-based systems for information retrieval, and electronic commerce. The current focus is on Active Catalog that will provide on-line catalogs augmented by behavioral models and their consumption environment, significantly enhance the engineering and design support that is desirable but beyond the reach of current engineering environments.

My dissertation research centers on application of machine learning techniques to speed up problem solving. Many learning systems suffer from the utility problem; that is, that time after learning is greater than time before learning. Discovering how to assure that learned knowledge will in fact speed up system performance has been a focus of research in explanation-based learning (EBL). One way of finding a solution which can guarantee such cost boundness is to analyze all the sources of cost increase in the learning process and then eliminate these sources. I began on this task by decomposing the learning process into a sequence of transformations that go from a problem solving episode, through a sequence of intermediate problem solving/rule hybrids, to a learned rule. This transformational analysis itself is important to understand the characteristics of the learning system, including cost changes through learning. Such an analysis has been performed for Soar (a problem solving system with a variant of EBL). By analyzing these transformations, I have identified a set of sources which can make the output rule expensive. Also, I have implemented modifications of the learning system based on the analysis.

I am also involved with the YODA robot project.

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Contact Information

Internet: jihie@isi.edu, jihie@usc.edu

ISI:            University of Southern California
                Information Sciences Institute	
                4676 Admiralty Way			
                Marina del Rey, CA 90292		
                (310) 822-1511 x769

Jihie Kim(jihie@isi.edu)