Information Technology
AAAI News
"Organizations today Intelligence concluded its national "This was the fictional characters feelings and attitudes Ebby Adhami of Ernst & Young/UK first AI art exhibition and the first and goals with which "readers" presented National Westminster time this many mobile robots have can interact. Bank's PHAROS program that details ever been together. The invited talks Learning provided a major theme European marketing possibilities for made some exciting new connections. Introduced less I was especially excited by Christopher speaker Oliver Selfridge celebrating than a year ago, it has 135,000 users Langton's survey of'Artificial Life' "the joy of why we're here: to start to currently. It is an example of AI as and Dana Ballard's new approach to understand the mysteries of the marketing tool, he noted, opening a visual perception. The question for us," whole new communications channel showed that machine translation is he declared, "is to know who we are, for the bank. It was, typically, an AI really getting somewhere, and Andrew what makes us grow, think, feel. Other talks included task than knowing the physical knew only that he had a problem, Lawrence Hunter's "AI and Molecular world we live in-and key to the not that AI was the answer.
Guest Editorial
Good books, well conceived, well written, and well presented, can do much to promote the science of AI and the AAAI organization. The AAAI Press edited collections, from which the articles of this issue are excerpted, are designed to reach out to an audience that wants to learn more about AAAI and AI.
Applied AI News
The Lockheed Corp. (Calabasas, CA) to reduce operator stress in such a Engineers at Southwest Research and AT&T (New York, NY) have signed situation. The system is now in use by work on a neural network system. ERAAM (Malakoff, France) has developed and route planning systems are Tractor manufacturer Caterpillar the Traffic Data Management among the systems being developed. Rosh Intelligent Systems Inc. (Needham, developed with Carnegie Mellon or rejecting orders referred by its Lam The system will eliminate neural network chip. Inc. (San Jose, CA), to read virtually The neural network listens offices nationwide.
A Conversation with Marvin Minsky
Minsky, Marvin L., Laske, Otto
The following excerpts are from an interview with Marvin Minsky which took place at his home in Brookline, Massachusetts, on January 23rd, 1991. The interview, which is included in its entirety as a Foreword in the book Understanding Music with AI: Perspectives on Music Cognition (edited by Mira Balaban, Kemal Ebcioglu, and Otto Laske), is a conversation about music, its peculiar features as a human activity, the special problems it poses for the scientist, and the suitability of AI methods for clarifying and/or solving some of these problems. The conversation is open-ended, and should be read accordingly, as a discourse to be continued at another time.
Software Engineering in the Twenty-First Century
There is substantial evidence that AI technology can meet the requirements of the large potential market that will exist for knowledge-based software engineering at the turn of the century. In this article, which forms the conclusion to the AAAI Press book Automating Software Design, edited by Michael Lowry and Robert McCartney, Michael Lowry discusses the future of software engineering, and how knowledge-based software engineering (KBSE) progress will lead to system development environments. Specifically, Lowry examines how KBSE techniques promote additive programming methods and how they can be developed and introduced in an evolutionary way.
Knowledge Discovery in Databases: An Overview
Frawley, William J., Piatetsky-Shapiro, Gregory, Matheus, Christopher J.
After a decade of fundamental interdisciplinary research in machine learning, the spadework in this field has been done; the 1990s should see the widespread exploitation of knowledge discovery as an aid to assembling knowledge bases. The contributors to the AAAI Press book Knowledge Discovery in Databases were excited at the potential benefits of this research. The editors hope that some of this excitement will communicate itself to "AI Magazine readers of this article.
An Architecture for Real-Time Distributed Scheduling
Hadavi, Khosrow, Hsu, Wen-Ling, Chen, Tony, Lee, Cheoung-Nam
Industrial managers, engineers, and technologists have many expectations from artificial intelligence and its application to knowledge-based systems. Although the past decade has witnessed a number of innovative applications of AI in manufacturing, the field is still in its infancy and holds even greater promise for the future. The AAAI Press book Artificial Intelligence Applications in Manufacturing, (from which the following article was selected) presents a number of articles that relate to the enhancement of planning and decision making capabilities in today's automated production environments.
Letters to the Editor
Cronin, Matthew R., Firschein, Oscar, Ogasawara, Gary, Rich, Elaine
As a communication scholar, I am This latest computer revolution well aware that many traditionalists has taken shape only within the view the respective disciplines of past five years. My recently completed These two revolutions have been master's thesis argues against this operating independently with limited view. Many concepts from the field success, instead of together with The workshops on Artificial Intelligence of communication have been used by potentially phenomenal success. The and Statistics have broadened the flow artificial intelligence researchers and multimedia revolution has successfully of information between the two fields scholars in the development of AI. broken into the marketplace on and encouraged interdisciplinary work. The central argument of my perspective all levels, but lacks the key component General Chair: R.W. Oldford (U. is that artificial intelligence is (symbolic reasoning) needed for Waterloo); man Program Chair: P. Cheese Sponsers: Sot. for A.I. and potential to provide the current multimedia By transcending traditional Stats., Int'l Ass. for Stat.
Cognitively Plausible Heuristics to Tackle the Computational Complexity of Abductive Reasoning
The work described in my Ph.D. dissertation (Fischer 1991)1 merges computational and cognitive investigations of abductive reasoning. It is the outcome of seven years of research focusing on abductive explanation generation and involving the departments of computer and information science, industrial and systems engineering, pathology, and allied medical professions at The Ohio State University.