Models in the Mind: Theory Perspective, in Open Worlds: A Case Study in Design.

The interdisciplinary makeup allowed for an expansion of the scope of Glymour's One notable extension was the move from android epistemology to android ethics. "they can know everything we know Margaret Boden presented her work Hayes and Ford were responding Participation was limited to 40 If the first two workshops on to the debate in Scientific American researchers selected from several disciplines human and machine cognition are (January 1990) between Searle and (principally computer science, representative, these meetings will the Churchlands about whether a philosophy, and psychology); become hotbeds of constructive and machine could think. Ironically, although this approach makes for much-needed debate. They focus on from the perspective of Hayes and stimulating discussion, it has resulted the foundational and methodological Ford, Searle and the Churchlands are in a competitive review process concerns of those who want to forge essentially in agreement, diverging (about a 10-percent acceptance rate). It is just a theories about the necessary in U.S. politics, the theme of the fact of life that there isn't much material basis (biological versus parallel) Second International Workshop on agreement about methodology and for intelligence. They both Human and Machine Cognition was, foundational issues within these two make specific implementation features What do androids know, and when fields. The positions covered One feature of the workshop that for intelligence. As might be expected, a wide range: "They can know facilitated and, at times, obstructed Paul Churchland objected to this only what androids can know: Android fruitful discussion was its highly interdisciplinary grouping.

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.

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.

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.

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.

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.

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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.

The Department of Computer Science at Louisiana State University (LSU) has been involved in robotics research since 1992 when the Robotics Research Laboratory (RRL) was established as a research and teaching program specializing in autonomous mobile robots (AMRS). Researchers at RRL are conducting high-quality research in amrs with the goal of identifying the computational problems and the types of knowledge that are fundamental to the design and implementation of autonomous mobile robotic systems. In this article, we overview the projects that are currently under way at LSU's RRL.