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Computer Science

D-Index
45
Citations
58796
World Ranking
6962
National Ranking
3042

Research.com Recognitions

  • 2005 - AAAI Distinguished Service Award For a lifetime of service to artificial intelligence, including seminal scientific contributions to pattern recognition, heuristic search, planning, robotics and expert systems, pioneering achievements in scientific publishing and skilled exposition in many influential textbooks, and service to the AI and computer science communities in many key leadership roles including president of AAAI.
  • 1990 - Fellow of the Association for the Advancement of Artificial Intelligence (AAAI)
  • 1986 - Fellow of the American Association for the Advancement of Science (AAAS)

Overview

Nils J. Nilsson is a researcher affiliated with Stanford University in the United States. Their academic focus encompasses various aspects of artificial intelligence and computer science, contributing to foundational knowledge in the field.

The scientist has been recognized with several awards that reflect their engagement and contributions to the AI community and beyond. Notably, they received the AAAI Distinguished Service Award in 2005, which acknowledged a lifetime of service to artificial intelligence, including significant scientific contributions related to pattern recognition, heuristic search, planning, robotics, and expert systems. This award also cited pioneering work in scientific publishing and influential textbook authorship, along with leadership roles such as serving as president of the Association for the Advancement of Artificial Intelligence (AAAI).

Earlier honors include being named a Fellow of the Association for the Advancement of Artificial Intelligence (AAAI) in 1990. Prior to that, Nilsson was recognized as a Fellow of the American Association for the Advancement of Science (AAAS) in 1986. These fellowships denote acknowledgment from prestigious scientific communities for their contributions to the advancement of science and artificial intelligence.

Although specific details on research topics, publication venues, coauthors, and individual papers are not provided, the awards and affiliations indicate involvement in multiple key areas of AI research, including but not limited to:

  • Pattern recognition
  • Heuristic search
  • Planning
  • Robotics
  • Expert systems

Best Publications

  • A Formal Basis for the Heuristic Determination of Minimum Cost Paths

    Peter E. Hart;Nils J. Nilsson;Bertram Raphael

  • STRIPS: a new approach to the application of theorem proving to problem solving

    Richard E. Fikes;Nils J. Nilsson

  • Principles of Artificial Intelligence

    N. J. Nilsson

  • Logical Foundations of Artificial Intelligence

    Michael R. Genesereth;Nils J. Nilsson

  • Artificial intelligence: A modern approach

    Nils J. Nilsson

  • Probabilistic logic

    Nils J. Nilsson

  • Problem-Solving Methods in Artificial Intelligence

    Nils J. Nilsson

  • Learning and executing generalized robot plans

    Richard E. Fikes;Peter E. Hart;Nils J. Nilsson

  • Artificial Intelligence: A New Synthesis

    Nils J. Nilsson

  • Subjective bayesian methods for rule-based inference systems

    Richard O. Duda;Peter E. Hart;Nils J. Nilsson

  • Shakey the Robot

    Nils J. Nilsson

  • The Quest for Artificial Intelligence

    Nils J. Nilsson

  • A mobius automation: an application of artificial intelligence techniques

    Nils J. Nilsson

  • Correction to "A Formal Basis for the Heuristic Determination of Minimum Cost Paths"

    Peter E. Hart;Nils J. Nilsson;Bertram Raphael

  • Learning machines: foundations of trainable pattern-classifying systems

    Nils John Nilsson

  • Teleo-reactive programs for agent control

    Nils J. Nilsson

  • Logic and artificial intelligence

    Nils J. Nilsson

  • The Mathematical Foundations of Learning Machines

    Nils J. Nilsson

  • Readings in Artificial Intelligence

    Bonnie Lynn Webber;Nils J. Nilsson

  • Human-Level Artificial Intelligence? Be Serious!

    Nils J. Nilsson

  • Subjective Bayesian methods for rule-based inference systems**The work reported herein was supported by the Advanced Research Projects Agency of the Department of Defense under Contract DAHC04-75-C-0005.

    Richard O. Duda;Peter E. Hart;Nils J. Nilsson

Frequent Co-Authors

Peter E. Hart
Peter E. Hart Independent Scientist / Consultant, US
Michael R. Genesereth
Michael R. Genesereth Stanford University
Richard Fikes
Richard Fikes Stanford University
Tom M. Mitchell
Tom M. Mitchell Carnegie Mellon University
Bonnie Webber
Bonnie Webber University of Edinburgh
Thomas Dean
Thomas Dean Google (United States)
Eric Horvitz
Eric Horvitz Microsoft (United States)
Bart Selman
Bart Selman Cornell University
Joseph F. Traub
Joseph F. Traub Columbia University

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