Eric Horvitz

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Eric Horvitz

Eric Joel Horvitz (* 1958 ) is an American computer scientist .

Horvitz studied at Stanford University , where he received his doctorate in 1990 under Ronald A. Howard (Computation and action under bounded resources). He also has a Doctor of Medicine (MD), also from Stanford. He is Microsoft Technical Fellow and Director of the Microsoft Research Lab in Redmond .

Horvitz deals with Artificial Intelligence (KI, AI), where he applied methods of stochastics and decision theory (for example in the transfer of the principle of limited rationality by introducing the concept of bounded optimality ) and promoted their applicability in other areas of computer science. In particular, he worked in the areas of machine learning , information retrieval , human-computer interaction (and optimal complementation of human and computer intelligence), bioinformatics and e-commerce. He also initiated initiatives for a study of the future of AI (One Hundred Year Study on Artificial Intelligence, Stanford University 2014) and the establishment of the Partnership on AI with the participation of large high-tech companies. Together with colleagues from the AI ​​field, he identified important problems with AI at the AAAI's national AI conference in 1996. Primarily, however, he is pursuing the expansion of AI as a central discipline at Microsoft Research (including social aspects of AI) and in the company's products.

In 2015 he received the ACM-AAAI Allen Newell Award and he received the AAAI Feigenbaum Prize. He is a Fellow of the Association for Computing Machinery and the Association for the Advancement of Artificial Intelligence (AAAI) (of which he was President), a member of the National Academy of Engineering , the American Academy of Arts and Sciences , the American Philosophical Society, and a Fellow of the American Association for the Advancement of Science . He is an elected member of the CHI Academy of ACM SIGCHI (Special Interest Group Computer-Human Interaction).

Fonts (selection)

  • Reasoning about beliefs and actions under computational resource constraints , Proceedings of the Third Conference on Uncertainty in Artificial Intelligence (UAI 1987), 1987, Arxiv
  • Reasoning under varying and uncertain resource constraints , Proceedings of AAAI 1988, pp. 111-116
  • with GF Cooper, D. Heckerman: Reflection and action under scarce resources: Theoretical principles and empirical study , Proceedings of the IJCAI, 1989, pp. 1121-1127
  • with John S. Breese, Max Henrion: Decision theory in expert systems and artificial intelligence , International Journal of Approximate Reasoning, Volume 2, 1998, pp. 247-302
  • with M. Shami, S. Dumais, D. Heckerman: A Bayesian approach to filtering junk e-mail , Learning for Text Categorization: Papers from the 1998 workshop, Volume 62, 1998, pp. 98-105
  • with J. Breese, D. Heckerman, D. Hovel, K. Rommelse: The Lumiere project: Bayesian user modeling for inferring the goals and needs of software users , Proceedings of the Fourteenth conference on Uncertainty in Artificial Intelligence, 1998
  • Principles of Mixed-Initiative User Interfaces , Proceedings of SIGCHI Conference on Human Factors in Computing Systems, 1999, pp. 159–166
  • with K. Hinckley, J. Pierce, M. Sinclair: Sensing techniques for mobile interaction , Proceedings of the 13th annual ACM symposium on User interface software and technology, 2000
  • Principles and Applications of Continual Computation , Artificial Intelligence Journal, Volume 126, 2001, pp. 159-196
  • with J. Teevan, ST Dumais: Personalizing search via automated analysis of interests and activities , Proceedings of the 28th annual international ACM SIGIR conference on Research and development in Information Retrieval, 2005
  • Artificial Intelligence in the Open World , AAAI Presidential Lecture, Chicago, 2008
  • with E. Kamar: Combining Human and Machine Intelligence in Large-scale Crowdsourcing , International Conference on Antonomous Agents and Multiagent Systems, AAMAS 2012, Valencia
  • Harnessing Human Intellect for Computing , Computing Research News, Volume 25, 2013

Web links

Individual evidence

  1. Eric Horvitz in the Mathematics Genealogy Project (English)Template: MathGenealogyProject / Maintenance / id used
  2. ^ A 100-year study of artificial intelligence? Microsoft Research's Eric Horvitz explains , Science January 9, 2015
  3. Bart Selman , Rodney Brooks , Thomas Dean , Tom M. Mitchell , Nils Nilsson : "Challenge Problems for Artificial Intelligence", Proceedings of AAAI-96, Thirteenth National Conference on Artificial Intelligence, Portland, Oregon, pp. 1340-1345. The chapter Decisions, Uncertainty and Intelligence came from Horvitz .
  4. In 2000 he and colleagues also received a US patent for this
  5. website for this