This article seizes an opportune time to honor Marvin and his contributions and influence in artificial intelligence, science, and beyond. The article provides readers with some personal insights of Minsky from Danny Hillis, John McCarthy, Tom Mitchell, Erik Mueller, Doug Riecken, Aaron Sloman, and Patrick Henry Winston -- all members of the AI community that Minsky helped to found. The article continues with a brief resume of Minsky's research, which spans an enormous range of fields. It concludes with a short biographical account of Minsky's personal history.
The 1956 Dartmouth summer research project on artificial intelligence was initiated by this August 31, 1955 proposal, authored by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon. The original typescript consisted of 17 pages plus a title page. Copies of the typescript are housed in the archives at Dartmouth College and Stanford University. The first 5 papers state the proposal, and the remaining pages give qualifications and interests of the four who proposed the study.
The long-term goal of AI is human-level AI. This is still not directly definable, although we still know of human abilities that even the the best present programs on the fastest computers have not been able to emulate, such as playing master-level go and learning science from the Internet. Basic researchers in AI should measure their work as to the extent to which it advances this goal.
Abecker, Andreas, Antonsson, Erik K., Callaway, Charles B., Dignum, Virginia, Doherty, Patrick, Elst, Ludger van, Freed, Michael, Freedman, Reva, Guesgen, Hans, Jones, Gareth, Koza, John, Kortenkamp, David, Maybury, Mark, McCarthy, John, Mitra, Debasis, Renz, Jochen, Schreckenghost, Debra, Williams, Mary-Anne
The Association for the Advancement of Artificial Intelligence, in cooperation with Stanford University's Department of Computer Science, presented the 2003 Spring Symposium Series, Monday through Wednesday, 24-26 March 2003, at Stanford University. The titles of the eight symposia were Agent-Mediated Knowledge Management, Computational Synthesis: From Basic Building Blocks to High- Level Functions, Foundations and Applications of Spatiotemporal Reasoning (FASTR), Human Interaction with Autonomous Systems in Complex Environments, Intelligent Multimedia Knowledge Management, Logical Formalization of Commonsense Reasoning, Natural Language Generation in Spoken and Written Dialogue, and New Directions in Question-Answering Motivation.
McCarthy, John, Feigenbaum, Edward A.
"This is a position paper about the relations among artificial intelligence (AI), mathematical logic and the formalization of common-sense knowledge and reasoning. It also treats other problems of concern to both AI and philosophy. I thank the editor for inviting it. The position advocated is that philosophy can contribute to AI if it treats some of its traditional subject matter in more detail and that this will advance the philosophical goals also. Actual formalisms (mostly first order languages) for expressing common-sense facts are described in the references."Copies also available on J. McCarthy's Stanford Archivein Philosophical Logic and Artificial Intelligence, Richmond Thomason (ed), Dordrecht: Kluwer Academic, 1989.
Too few people are doing basic research in AI relative to the number working on applications. The ratio of basic/applied is less in AI than in the older sciences and than in computer science generally. This is unfortunate, because reaching human level artificial intelligence will require fundamental conceptual advances.
Binford, Tom, McCarthy, John
The Robotics Project (the "Hand-Eye Project") evolved within the Stanford Artificial Intelligence Laboratory under the guidance of John McCarthy, Les Earnest, Jerry Feldman, and Tom Binford. Major efforts have been undertaken to isolate and solve fundamental problems in computer vision, manipulation, and autonomous vehicles. Stereo vision and texture have been examined. Several generations of robot programming languages have resulted in AL, an intermediate-level language for commanding manipulation.
This requires representing both knowledge about the particular situation and general common sense knowledge as sentences of logic. The qualification problem', immediately arose in representing general common sense knowledge. We are not presently concerned with the heuristics of the problem but rather with the correctness of the reasoning that goes from the English statement of the problem to Amarel's state space representation. First, nothing has been stated about the properties of boats or even the fact that rowing across the river doesn't change the numbers of missionaries or cannibals These facts follow from common sense knowledge, so let us imagine that common sense knowledge, or at least the relevant part of it, is also expressed in first order logic.