Girish Mahajan (Editor)

AI@50

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AI@50

AI@50, formally known as the "Dartmouth Artificial Intelligence Conference: The Next Fifty Years" (July 13–15, 2006), was a conference commemorating the 50th anniversary of the Dartmouth workshop which effectively inaugurated the history of artificial intelligence. Five of the original ten attendees were present: Marvin Minsky, Ray Solomonoff, Oliver Selfridge, Trenchard More, and John McCarthy.

Contents

While sponsored by Dartmouth College, General Electric, and the Frederick Whittemore Foundation, a $200,000 grant from the Defense Advanced Research Projects Agency (DARPA) called for a report of the proceedings that would:

  • Analyze progress on AI's original challenges during the first 50 years, and assess whether the challenges were "easier" or "harder" than originally thought and, why
  • Document what the AI@50 participants believe are the major research and development challenges facing this field over the next 50 years, and identify what breakthroughs will be needed to meet those challenges
  • Relate those challenges and breakthroughs against developments and trends in other areas such as control theory, signal processing, information theory, statistics, and optimization theory.
  • A summary report by the conference director, James Moor, was published in AI Magazine.

  • James Moor, conference Director, Introduction
  • Carol Folt and Barry Scherr, Welcome
  • Carey Heckman, Tonypandy and the Origins of Science
  • AI: Past, Present, Future

  • John McCarthy, What Was Expected, What We Did, and AI Today
  • Marvin Minsky, The Emotion Machine
  • The Future Model of Thinking

  • Ron Brachman and Hector Levesque, A Large Part of Human Thought
  • David Mumford, What is the Right Model for 'Thought'?
  • Stuart Russell, The Approach of Modern AI
  • The Future of Network Models

  • Geoffrey Hinton & Simon Osindero, From Pandemonium to Graphical Models and Back Again
  • Rick Granger, From Brain Circuits to Mind Manufacture
  • Oliver Selfridge, Learning and Education for Software: New Approaches in Machine Learning
  • Ray Solomonoff, Machine Learning — Past and Future
  • Leslie Pack Kaelbling, Learning to be Intelligent
  • Peter Norvig, Web Search as a Product of and Catalyst for AI
  • The Future of AI

  • Rod Brooks, Intelligence and Bodies
  • Nils Nilsson, Routes to the Summit
  • Eric Horvitz, In Pursuit of Artificial Intelligence: Reflections on Challenges and Trajectories
  • The Future of Vision

  • Eric Grimson, Intelligent Medical Image Analysis: Computer Assisted Surgery and Disease Monitoring
  • Takeo Kanade, Artificial Intelligence Vision: Progress and Non-Progress
  • Terry Sejnowski, A Critique of Pure Vision
  • The Future of Reasoning

  • Alan Bundy, Constructing, Selecting and Repairing Representations of Knowledge
  • Edwina Rissland, The Exquisite Centrality of Examples
  • Bart Selman, The Challenge and Promise of Automated Reasoning
  • The Future of Language and Cognition

  • Trenchard More The Birth of Array Theory and Nial
  • Eugene Charniak, Why Natural Language Processing is Now Statistical Natural Language Processing
  • Pat Langley, Intelligent Behavior in Humans and Machines
  • The Future of the Future

  • Ray Kurzweil, Why We Can Be Confident of Turing Test Capability Within a Quarter Century
  • George Cybenko, The Future Trajectory of AI
  • Charles J. Holland, DARPA's Perspective
  • AI and Games

  • Jonathan Schaeffer, Games as a Test-bed for Artificial Intelligence Research"
  • Danny Kopec, Chess and AI
  • Shay Bushinsky, Principle Positions in Deep Junior's Development
  • Future Interactions with Intelligent Machines

  • Daniela Rus, Making Bodies Smart
  • Sherry Turkle, From Building Intelligences to Nurturing Sensibilities
  • Selected Submitted Papers: Future Strategies for AI

  • J. Storrs Hall, Self-improving AI: An Analysis
  • Selmer Bringsjord, The Logicist Manifesto
  • Vincent C. Müller, Is There a Future for AI Without Representation?
  • Kristinn R. Thórisson, Integrated A.I. Systems
  • Selected Submitted Papers: Future Possibilities for AI

  • Eric Steinhart, Survival as a Digital Ghost
  • Colin T. A. Schmidt, Did You Leave That 'Contraption' Alone With Your Little Sister?
  • Michael Anderson & Susan Leigh Anderson, The Status of Machine Ethics
  • Marcello Guarini, Computation, Coherence, and Ethical Reasoning
  • References

    AI@50 Wikipedia