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Why Should Machines Learn?

Classics

See also: C.I.P. #425, Departments of Computer Science and Psychology, Carnegie-Mellon University, 1980In Michalski, R. S., Carbonell, J. G., and Mitchell, T. M. (Eds), Machine Learning, An Artificial Intelligence Approach, Tioga Press, Palo Alto, CA


Scale space filtering

Classics

See also:Uniqueness of the Gaussian Kernel for Scale-Space FilteringUnited States PatentEuropean PatentProceedings of the Eighth International Joint Conference on Artificial Intelligence, Karlsruhe, West Germany, 1019-1022






Interviewer/Reasoner Model: An Approach to Improving System Responsiveness in Interactive AI Systems

AI Magazine

Interactive intelligent systems often suffer from a basic conflict between their computationally intensive nature and the need for responsiveness to a user. This paper introduces the Interviewer/Reasoner model, which helps to reduce this conflict. This model partitions an intelligent system into two asynchronous components. The Interviewer's primary function is to gather data while providing an acceptable response time to the user. The Reasoner does most of the symbolic computation for the system. This paper describes the implementation of the model in both timesharing and personal workstation environments, and uses the ONCOCIN system as an example.


Why People Think Computers Can't

AI Magazine

Why People Think Computers Can't MOST PEOPLE ARE CONVINCED computers cannot think. I think those specialists are too used t,o That is, really think. This leads them to believe that there can't "thinking." This essay explains why they are wrong . Can Computers Do Only What They're Told? concerned with huge numerical computations: that's why the things were called computers. Most people think that "creativity" Yet even then a fringe of people envisioned what's now If so, then no computer can create-since, clearly, they realized that computers could manipulate not only numbers anything machines can do can be explained. To see what's wrong with that, we'd better turn aside able to go beyond arithmetic, perhaps to imitate the informa-from those outstanding works our cuhure views as very best Con processes that happen inside minds.


An Approach to Verifying Completeness and Consistency in a Rule-Based Expert System

AI Magazine

We describe a program for verifying that a set of rules in an expert system comprehensively spans the knowledge of a specialized domain. The program has been devised and tested within the context of the ONCOCIN System, a rule-based consultant for clinical oncology. The stylized format of ONCOIN's rule has allowed the automatic detection of a number of common errors as the knowledge base has been developed. This capability suggests a general mechanism for correcting many problems with knowledge base completeness and consistency before they can cause performance errors.


A View of the Fifth Generation and Its Impact

AI Magazine

I apologise for any mistakes or misinterpretations I may therefore have made. In October 1981,.Japan announced a national project to develop highly innovative computer systems for the 199Os, with the title "Fifth Generation Computer Systems " This paper is a personal view of that project, The fifth generation plan its significance, and reactions to it. In late 1978 the Japanese Ministry of International Trade THIS PAPER PRESENTS a personal view of the Japanese and Industry (MITI) gave ETL the task of defining a project Fifth Generation Computer Systems project.