Memory-Based Learning
On the Other Hand (Opinion)
Hayes, Patrick J., Ford, Kenneth M.
Our subject has been compared to Mozart. His both in the popular media and its corrupting moral influence on society, proofs are ingenious, cleverly argued, among the cultured intelligentsia. Lanier's home page: While many of these attacks are cited "... machine decision making is widely, most of them are ridiculous running our household finances to anyone with an appropriate technical to a scary degree. Our demonstrated - Sir John Eccles for the "Mysterious willingness to accommodate machines Loom Theory." AI…lets strategists Thus, the Simon Newcomb award imagine less gruesome warfare this year goes to Jaron Lanier. He is an essayist whose views can be found in such magazines All of this ill-informed pseudo-political as Harpers and Wired; he is also, ranting is remarkably silly, but according to his web page, "available none of it can really be said to constitute for public speaking." He is widely regarded an argument. The first part of the argument is clearly inspired by Searle's magnificent reductio, though performed in a very different style. Recall that Searle's those numbers are a computer Obviously one is supposed to think argument amounts to the claim program. Lanier then makes the move that any sufficiently complex physical through all the possible computers which wins him this year's Award: system--the atoms in a wall, say that could exist … until you "You say the rainstorm is not --has within it a pattern which could find one that treats the raindrop really doing computation--it is be the encoding of a given piece of patterns as a program exactly just sitting there as a passive program--and software--a word-processor, for instance--and equivalent to your brain." Perhaps there's something "Yes, it can be done..." [Since the Now the raindrops are reduce to nonsense, that a program There's a technical slip here: the doing the computing."
CHEMREG: Using Case-Based Reasoning to Support Health and Safety Compliance in the Chemical Industry
CHEMREG is a large knowledge-based system used by Air Products and Chemicals, Inc., to support compliance with regulatory requirements for communicating health and safety information in the shipping and handling of chemical products. This article concentrates on one of the knowledge bases in this system: the case-based reasoner. The case-based reasoner addresses the issue of how proper communication of public health and safety information can be ensured while rapid and cost-effective product evaluation is allowed in the absence of actual hazard testing of the product. CHEMREG generates estimates of hazard data for new products from similar products using an existing relational database as a case library.
CHEMREG: Using Case-Based Reasoning to Support Health and Safety Compliance in the Chemical Industry
CHEMREG is a large knowledge-based system used by Air Products and Chemicals, Inc., to support compliance with regulatory requirements for communicating health and safety information in the shipping and handling of chemical products. This article concentrates on one of the knowledge bases in this system: the case-based reasoner. The case-based reasoner addresses the issue of how proper communication of public health and safety information can be ensured while rapid and cost-effective product evaluation is allowed in the absence of actual hazard testing of the product. CHEMREG generates estimates of hazard data for new products from similar products using an existing relational database as a case library. Implementation of the case-based reasoner in rules and objects using a commercial knowledge-based system shell is described. Although some refinements remain, the performance of the case-based reasoner has met its design goals.
Developing and Deploying Knowledge on a Global Scale
Borron, James, Morales, David, Klahr, Philip
Reuters is a worldwide company focused on supplying financial and news information to its more than 40,000 subscribers around the world. To enhance the quality and consistency of its customer- support organization, Reuters embarked on a global knowledge development and reuse project. The resulting system is in operational use in North America, Europe, and Asia. The system supports 38 Reuter products worldwide. This article presents a case study of Reuter experience in putting a global knowledge organization in place, building knowledge bases at multiple distributed sites, deploying these knowledge bases in multiple sites around the world, and maintaining and enhancing knowledge bases within a global organizational framework. This project is the first to address issues in multicountry knowledge development and maintenance and multicountry knowledge deployment. These issues are critical for global companies to understand, address, and resolve to effectively gain the benefits of global knowledge systems.
The 1996 Simon Newcomb Award
Ford, Kenneth M., Hayes, Patrick J.
Simon Newcomb was a distinguished astronomer and computer who "proved" that heavier- than-air flight was impossible. His proofs are ingenious, cleverly argued, quite convincing to many of his contemporaries, and utterly wrong. The Simon Newcomb Award is given annually for the silliest published argument attacking AI. Our subject may be unique in the virulence and frequency with which it is attacked, both in the popular media and among the cultured intelligentsia. Recent articles have argued that the very idea of AI reflects a cancer in the heart of our culture and have proven (yet again) that it is impossible. While many of these attacks are cited widely, most of them are ridiculous to anyone with an appropriate technical education.
Case-Based Reasoning
The 1994 Workshop on Case-Based Reasoning (CBR) focused on the evaluation of CBR theories, models, systems, and system components. The CBR community addressed the evaluation of theories and implemented systems, with the consensus that a balance between novel innovations and evaluations could maximize progress.
Case-Based Reasoning
The 1994 Workshop on Case-Based Reasoning (CBR) focused on the evaluation of CBR theories, models, systems, and system components. The CBR community addressed the evaluation of theories and implemented systems, with the consensus that a balance between novel innovations and evaluations could maximize progress.