Hutchins not only presents machine translation research (such as problems of machine translation It is the theories, algorithms, and designs practical versus theoretical, empirical also not clear that the AI philosophy but also the history, goals, assumptions, versus perfectionist, and direct versus of understanding and meaning (p 327) and constraints of each project.

Failing to recognize this, significance. All interested readers The medium has misplaced the message understanding intelligence and cognition should be directed to his Ph.D. thesis [that should have appeared in Dr. Franck can be reached is merely irreverent, not irrelevant, per se " As readers can see, quite at the following address Dr. Bruno to AI All I can say is mea Thank you Columbus, OH 43210 culpa, and I hope this letter may help James R Slagle and Michael R. Wick to square things I read with great interest the excellent Information Processing. Engineering" by Ken Forbus in AI manuscript, I somehow managed to Professor Forbus's forceful changed the intended meaning rather Our recent article, entitled "A I personally as published reads: "The goal of these examples of our evaluation process thank him for writing such an eloquent gatherings has been to understand One of these examples involved the Various groups, especially for narrowly defined tasks (expert systems)." Naturally, I would not expect Prof. Forbus to enumerate IIICAD stands for "Intelligent, Integrated, and Interactive CAD" and was CWI is a research AAAI Membership Directory center in pure and applied mathematics An invaluable networking tool, this annual roster of AAAI members and computer science at Amsterdam. You've heard of this AAAI conference-it's the most distinguished Email: paulh@cwi.nl. TR An exciting opportunity to view the latest Al products, services, and CSR8744, CWI, Amsterdam research from industry and the academic community. These are the state-of-the-art research papers presented at the AAAl's A copy of this publication is included in conference Data Description Language for Coding registration; AAAI members not attending the conference may purchase Design Knowledge."

Hutchins not only presents machine translation research (such as problems of machine translation It is the theories, algorithms, and designs practical versus theoretical, empirical also not clear that the AI philosophy but also the history, goals, assumptions, versus perfectionist, and direct versus of understanding and meaning (p 327) and constraints of each project.

Hutchins not only presents machine translation research (such as problems of machine translation It is the theories, algorithms, and designs practical versus theoretical, empirical also not clear that the AI philosophy but also the history, goals, assumptions, versus perfectionist, and direct versus of understanding and meaning (p 327) and constraints of each project.

It 445 Burgess Drive In spite of the many strong technical was generally agreed that the formalization Menlo Park, CA 94025-3496 results that have been produced, it is of commonsense reasoning (415) 328-3123 still far from clear whether existing should be a top-level item for future approaches are sufficient to formalize research.

The emergence of the blackboard architecture as a widely used paradigm for problem solving led us and other members of the blackboard research community to organize a workshop. The workshop was held during the 1987 Association for the Advancement of Artificial Intelligence Conference in Seattle. The main purpose of the workshop was to highlight the advances in blackboard architectures since the introduction of the paradigm in Hearsay-II and identify issues relevant to future blackboard system research. This article describes the issues raised and the discussions in each of the five workshop panels.

A panel session at the 1989 International Joint Conference on artificial intelligence in Los Angeles dealt with the subject of knowledge-based systems; the session was entitled "Expert Systems: How Far Can They Go?" The panelists included Randall Davis (Massachusetts Institute of Technology); Stuart Dreyfus (University of California at Berkeley); Brian Smith (Xerox Palo Alto Research Center); and Terry Winograd (Stanford University), chairman. The article begins with Winograd's original charge to the panel, followed by lightly edited transcripts of the panel's remarks. Part 1 includes presentations from Winograd and Dreyfus. Part 2, which will appear in the Summer 1989 issue, includes presentations from Smith and Davis and concludes with the panel discussion. Although three years have passed since this session took place, the issues raised and the points discussed are no less relevant today.

This article explores the premise that a formalized representation of empirical studies can play a central role in computer- based decision support. The specific motivations underlying this research include the following propositions: (1) Reasoning from experimental evidence contained in the clinical literature is central to the decisions physicians make in patient care. (2) A computational model based on a declarative representation for published reports of clinical studies can drive a computer program that selectively tailors knowledge of the clinical literature as it is applied to a particular case. (3) The development of such a computational model is an important first step toward filling a void in computer-based decision support systems. Furthermore, the model can help us better understand the general principles of reasoning from experimental evidence both in medicine and other domains. Roundsman is a developmental computer system that draws on structured representations of the clinical literature to critique plans for the management of primary breast cancer. Roundsman is able to produce patient-specific analyses of breast cancer-management options based on the 24 clinical studies currently encoded in its knowledge base. The Roundsman system is a first step in exploring how the computer can help bring a critical analysis of the relevant literature, structured around a particular patient and treatment decision, to the physician.

The notion of generic design, although it has been around for 25 years, is not often articulated; such is especially true within Newell and Simon's (1972) information-processing theory (IPT) framework. Design is merely lumped in with other forms of problem-solving activity. Intuitively, one feels there should be a level of description of the phenomenon that refines this broad classification by further distinguishing between design and nondesign problem solving. However, IPT does not facilitate such problem classification. This article makes a preliminary attempt to differentiate design problem solving from nondesign problem solving by identifying major invariants in the design problem space.

This book is the result of the author's research. The concepts it describes are illustrated in an expert recipe designer called CHEF. The book is well written, with many illustrations taken from CHEF dialogues and LISP code. It is not a textbook but would make a good reference for a college senior or first-year graduate class project. The author is somewhat repetitious, which is good if the reader is not familiar with the ideas of case-based reasoning.