Daniel G. Bobrow
Daniel G. Bobrow is a Research Fellow in the Intelligent Systems Laboratory of the Palo Alto Research Center, and a member of the Natural Language Theory and Technology Area. He received his PhD in Artificial Intelligence from MIT, and has over 100 published papers and books. Topics include programming languages (Lisp, Logo, Loops, Common Lisp Object System), computer-supported collaborative work (Colab, Paper Intermedium), and more recently, community knowledge systems that require participatory social and technical design (Pueblo, Eureka, RDC), and natural language and knowledge-based question-answering (Student, KRL, GUS, Bridge).
Community Knowledge Systems: Pueblo was a socio-technical system that used a virtual world (MUD) to extend the power and reach of a Phoenix inner-city school community. Eureka, one the most successful fielded examples of a community knowledge sharing system, supports Xerox service technicians in capturing, validating, and sharing their experience. It is in world-wide use by 20,000 service representatives, with a knowledge base of over 90,00 community submitted and validated tips to handle difficult problems in maintaining equipment in the field.
Natural Language Systems: Bobrow wrote one of the first AI theses on natural language question answering for algebra story problems(STUDENT). His current research focus is once again natural language question-answering. He is co-Principal Investigator on a project exploring Advanced Question Answering for Intelligence (AQUAINT). Using a wide-coverage English grammar, and an efficient language analysis engine, the project is exploring the value of mapping texts to a knowledge representation (KR), and determining whether a text answers a question by whether it logically entails the answer. Current work includes development of a KR indexing methodology and data base and retrieval strategy to locate in large document collections answers to questions, rather than only "possibly relevant" documents.
Honors: Bobrow has been President of the American Association for Artificial Intelligence (AAAI), chair of the Cognitive Science Society, Editor-in-chief of the journal Artificial Intelligence, and member of many editorial boards and program committees. He is the recipient of the ACM Software Systems Award, and is a fellow of both the ACM and AAAI.
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Reaching me Daniel G. Bobrow Office: 35-2640 |