Partridge, Derek
Workshop on the Foundations of AI: Final Report
Partridge, Derek
This report makes a case for the need to examine the methodological foundations of AI. Many aspects of AI have not yet developed to a point of general agreement. The goals of AI work, the methods for achieving these goals, the presentation of results, and the assessment of claims are highly contentious issues. All aspects of AI methodology are subject to debate. The Workshop on Foundations of AI was conceived as a forum in which such a debate could proceed. This report presents the rationale behind the event, the details of the program, and finally some afterthoughts.
Letters to the Editor
Nilsson, Nils J., Stefik, Mark, Partridge, Derek, Lanning, Stan
He then proved that In addition, I noticed that John McCarthy was snapping network representations (such as that of the brain) cannot freely with his camera at the workshop. He may have some possibly exhibit intelligence-tapes, as in Turing Machines, amusing illustrations of the unlikely events rec0rded.l
Letters
Chandrasekaran, B., Partridge, Derek, Champeaux, Dennis de, Blake, Steven
Letters to the Editor
Mostow, Jack, Katke, William, Partridge, Derek, Koton, Phyllis, Estrin, Deborah, Gray, Sharon, Ladin, Rivka, Eisenberg, Mike, Duffy, Gavin, Dorr, Bonnie, Batali, John, Levitt, David, Shirley, Mark, Giansiracusa, Robert, Montalvo, Fanya, Pitman, Kent, Golden, Ellen, Stone, Bob
And even if verification to be accommodated within the SPIV paradigm. But until were possible it would not contribute very much to the such time as we find these learning algorithms (and I development of production software. Hence "verifiability don't think that many would argue that such algorithms must not be allowed to overshadow reliability. Scientists will be available in the foreseeable future) we must face should not confuse mathematical models with reality." the prospect of systems that will need to be modified, in AI is perhaps not so special, it is rather an extreme nontrivial ways, throughout their useful lives. Thus incremental and thus certain of its characteristics are more obvious development will be a constant feature of such than in conventional software applications. Thus the SPIV software and if it is not fully automatic then it will be part methodology may be inappropriate for an even larger class of the human maintenance of the system. I am, of course, of problems than those of AI. not suggesting that the products of say architectural design I have raised all these points not to try to deny the (i.e., buildings) will need a learning capability. Nevertheless, worth of Mostow's ideas and issues concerning the design a final fixed design, that remains "optimal" in a process, but to make the case that such endeavors should dynamically changing world, is a rare event.The similarity also be pursued within a fundamentally incremental and between AI system development and the design of more evolutionary framework for design. The potential of the concrete objects is still present, but it is, in some respects, RUDE paradigm is deserving of more attention than it is rather tenuous I admit.