The Digital Services Research Group and its predecessor groups and offshoots in Digital Equipment Corporation have been mobilizing leading-edge AI research to bear on real-life problems that face the corporation and its customers. The general strategy of the group is to explore emerging techniques relevant to service and support needs through developing rapid prototypes, deploying these prototypes, and incorporating feedback from users. With over 32 major projects undertaken during the past decade, we have worked on broad spectrum of problems and explored a variety of advanced AI techniques. This article describes the current AI activities in five areas: (1) enterprise advisory systems, (2) natural language processing and textual information retrieval, (3) largescale knowledge base management and access, (4) software configuration management, and (5) intrusion detection. We also list some future research directions.

The Association for the Advancement of Artificial Intelligence held its 1992 Spring Symposium Series on March 25-27 at Stanford University, Stanford, California. This article contains a summary of the symposia that were conducted: Artificial Intelligence in Medicine, Cognitive Aspects of Knowledge Acquisition, Computational Considerations in Supporting Incremental Modification and Reuse, Knowledge Assimilation, Practical Approaches to Scheduling and Planning, Producing Cooperative Explanations, Propositional Knowledge Representation, Selective Perception, and Reasoning with Diagrammatic Representations.

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

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.

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.

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.

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.

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.

We summarize the Among the workshop's principal The in using these systems, and (6) computer represent the same knowledge differently workshop on cooperation among environments that facilitate to optimize their particular use heterogeneous intelligent agents, cooperation among human problem of it, or agents could obtain knowledge held July 15 during the 1991 National solvers of diverse abilities. DAI system can use as agents a collection and Edmund Durfee. It was designed Fifty submissions were received, and of existing knowledge-based to bring together researchers and 43 contributors were invited to the systems that have been developed practitioners who are studying how workshop. The workshop had four under a variety of implementation to enable a heterogeneous collection sessions that covered the topics of philosophies. In particular, representations create a special type of agent that is Fifth, agents negotiate and converge must be agreed on able to act as a broker to each of the on decisions by making deals (either before invocation or as a existing agents that need to participate under various types of pressure. Methods must also in a blackboard architecture, so it can be created for agents to assimilate cooperate with other agents.

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.