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Edward A. Feigenbaum

Edward A. Feigenbaum

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
11685
World Ranking
6011
National Ranking
1666

Research.com Recognitions

  • 2007 - ACM Fellow For contributions to artificial intelligence.
  • 2006 - AAAI Distinguished Service Award For a lifetime of service to artificial intelligence as a tireless and effective champion of the field, including seminal contributions to the theory and practice of knowledge-based systems, coeditorship of the first major collection of AI papers, mentorship of numerous leading AI researchers, facilitation of the commercialization of AI technology, and service to the AI and computer science communities in many key leadership roles, including president of AAAI and chief scientist of the US Air Force
  • 2004 - AAAI Robert S. Engelmore Memorial Lecture Award For decades of technical, business, and government leadership in artificial intelligence, as well as pioneering research on knowledge-based systems.
  • 1994 - A. M. Turing Award For pioneering the design and construction of large scale artificial intelligence systems, demonstrating the practical importance and potential commercial impact of artificial intelligence technology.
  • 1994 - Fellow of the Indian National Academy of Engineering (INAE)
  • 1991 - Fellow of the American Academy of Arts and Sciences
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
  • 1986 - Member of the National Academy of Engineering For pioneering contributions to knowledge engineering and expert systems technology, and for leadership in education and technology of applied artificial intelligence.
  • 1983 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Edward A. Feigenbaum is affiliated with Stanford University in the United States. Their career includes extensive involvement in the development and application of artificial intelligence (AI), with a particular focus on knowledge-based systems and expert systems technology.

Their work has contributed to the design and construction of large-scale AI systems, highlighting the practical potential and commercial impact of AI technologies. This focus on applied AI has positioned Feigenbaum as a figure engaged in bridging theoretical AI research with real-world implementations.

Throughout their career, Feigenbaum has attained several recognitions acknowledging contributions to the field of artificial intelligence and computer science. These awards include:

  • ACM Fellow (2007) for contributions to artificial intelligence.
  • AAAI Distinguished Service Award (2006) for lifetime service and leadership within the AI community and advancement of knowledge-based systems.
  • AAAI Robert S. Engelmore Memorial Lecture Award (2004) recognizing decades of technical, business, and government leadership in AI.
  • A. M. Turing Award (1994) for pioneering large-scale AI system design and demonstration of commercial viability of AI technologies.
  • Fellow of the Indian National Academy of Engineering (INAE) (1994).
  • Fellow of the American Academy of Arts and Sciences (1991).
  • Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) (1990).
  • Member of the National Academy of Engineering (1986) for contributions to knowledge engineering, expert systems technology, and leadership in AI education and application.
  • Fellow of the American Association for the Advancement of Science (AAAS) (1983).

Feigenbaum's recognition by multiple prestigious academies and professional organizations reflects a broad engagement with both the technical evolution and organizational advancement of AI research. This includes roles such as serving as president of AAAI and chief scientist of the US Air Force, indicating involvement in leadership and policy dimensions of AI.

Although specific titles and publication data for recent papers, co-authors, publication venues, and books are not available, Feigenbaum's profile is characterized by foundational work in the main fields of artificial intelligence, with a strong emphasis on knowledge-based systems as a subfield.

The subject's career exemplifies contributions to AI in both research and practical, commercial contexts, supported by a record of awards documenting expertise in technology innovation, leadership, and service to the academic and applied science communities.

Best Publications

  • Computers and Thought

    Edward A. Feigenbaum;Julian Feldman

  • DENDRAL and Meta-DENDRAL: their applications dimension

    Bruce G. Buchanan;Edward A. Feigenbaum

  • Applications of Artificial Intelligence for Organic Chemistry: The DENDRAL Project

    Robert K. Lindsay;Bruce G. Buchanan;E. A. Feigenbaum;Joshua Lederberg

  • Knowledge engineering for medical decision making: A review of computer-based clinical decision aids

    E.H. Shortliffe;B.G. Buchanan;E.A. Feigenbaum

  • The Handbook of Artificial Intelligence

    Avron Barr;Edward A. Feigenbaum;Paul. R. Cohen

  • The Fifth Generation: Artificial Intelligence and Japan's Computer Challenge to the World

    Edward Feigenbaum;Pamela McCorduck

  • On generality and problem solving: a case study using the DENDRAL program

    Edward A. Feigenbaum;Bruce G. Buchanan;Joshua Lederberg

  • On the thresholds of knowledge

    Douglas B. Lenat;Edward A. Feigenbaum

  • DENDRAL: a case study of the first expert system for scientific hypothesis formation

    Robert K. Lindsay;Bruce G. Buchanan;Edward A. Feigenbaum

  • EPAM-like models of recognition and learning

    Edward A. Feigenbaum;Herbert A. Simon

  • The simulation of verbal learning behavior

    Edward A. Feigenbaum

  • Signal-to-Symbol Transformation: HASP/SIAP Case Study

    H. Penny Nii;Edward A. Feigenbaum;John J. Anton

  • Applications of artificial intelligence for chemical inference. I. Number of possible organic compounds. Acyclic structures containing carbon, hydrogen, oxygen, and nitrogen

    Joshua Lederberg;Georgia L. Sutherland;Bruce G. Buchanan;Edward A. Feigenbaum

  • Heuristic DENDRAL: A Program for Generating Explanatory Hypotheses in Organic Chemistry

    Bruce G. Buchanan;Georgia L. Sutherland;E. A. Feigenbaum

  • An information-processing theory of some effects of similarity, familiarization, and meaningfulness in verbal learning

    Herbert A. Simon;Herbert A. Simon;Edward A. Feigenbaum;Edward A. Feigenbaum

  • Representation of Knowledge

    Avron Barr;James Davidson;Edward A Feigenbaum

  • Some challenges and grand challenges for computational intelligence

    Edward A. Feigenbaum

  • Knowledge engineering: the applied side of artificial intelligence

    Edward A. Feigenbaum

  • Applications of artificial intelligence for chemical inference. 22. Automatic rule formation in mass spectrometry by means of the meta-DENDRAL program

    B. G. Buchanan;D. H. Smith;W. C. White;R. J. Gritter

  • Applications of artificial intelligence for chemical inference. II. Interpretation of low-resolution mass spectra of ketones

    Alan M. Duffield;Alexander V. Robertson;Carl Djerassi;Bruce G. Buchanan

  • The Handbook of Artificial Intelligence

    Stephen Wilson;Avron Barr;Paul R. Cohen;Edward A. Feigenbaum

Frequent Co-Authors

Bruce G. Buchanan
Bruce G. Buchanan University of Pittsburgh
Joshua Lederberg
Joshua Lederberg Rockefeller University
Carl Djerassi
Carl Djerassi Stanford University
Herbert A. Simon
Herbert A. Simon Carnegie Mellon University
John J. McCarthy
John J. McCarthy University of California, Irvine
Paul R. Cohen
Paul R. Cohen University of Pittsburgh
Douglas B. Lenat
Douglas B. Lenat Stanford University
Edward H. Shortliffe
Edward H. Shortliffe Columbia University
James G. March
James G. March Stanford University
Roger C. Schank
Roger C. Schank Socratic Arts

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