Brachman, Ronald J.

(AA)AI More than the Sum of Its Parts

AI Magazine

But, I argue, the consequences are actually far worse: because of the very nature of intelligence, the centrifugal force on the field could thwart the very mission that drives it by leaving no place for the study of the interaction and synergy of the many coupled components that individually in isolation are not intelligent but, when working together, yield intelligent behavior. To raise awareness of the need to reintegrate AI, I contemplate the role of systems integration and the value and challenge of architecture. Illustrating some reason for optimism, I briefly outline some promising developments in large projects that are helping to increase the centripetal force on AI. I conclude by discussing how it is critical that the field focus its attention back on its original mission, led by a heavy dose of integrated systems thinking and grand challenges, and why after its first quarter century, AAAI is more essential than ever.

I Lied About the Trees, Or, Defaults and Definitions in Knowledge Representation

AI Magazine

Over the past few years, the notion of a "prototype" (e.g., TYPICAL-ELEPHANT) seems to have caught on securely in knowledge representation research. Along with a way to specify default properties for instances of a description, proto-representations allow overriding, or "canceling" of properties that don't apply in particular cases. This supposedly makes representing exceptions ( three-legged elephants and the like) easy; but, alas, it makes one crucial type of representation impossible-that of composite descriptions whose meanings are functions of the structure and interrelation of their parts. This article explores this and other ramifications of the emphasis on default properties and "typical" objects.

An Overview of the KL-ONE Knowledge Representation System


KL-ONE is a system for representing knowledge in Artificial Intelligence programs. It has been developed and refined over a long period and has been used in both basic research and implemented knowledge-based systems in a number of places in the AI community. Here we present the kernel ideas of KL-ONE, emphasizing its ability to form complex structured descriptions. This research was supported in part by the Defense Advanced Research Projects Agency under Contract N00014-77-C-0378.

AAAI-83: National Conference on Artificial Intelligence

AI Magazine

The third national conference promotes research in the field of AI by bringing together individuals from government, industry, and academia and by providing a published record of the conference as proceedings.

Research at Fairchild

AI Magazine

The Fairchild Laboratory for Artificial Intelligence Research (FLAIR) was inaugurated in October, 1980, with the purposes of introduction AI Technology into Fairchild Camera and Instrument Corporation, and of broadening the AI base of its parent company, Schlumberger Ltd. The charter of the laboratory includes basic and applied research in all AI disciplines. Currently, we have significant efforts underway in several areas of computational perception, knowledge representation and reasoning, and AI-related architectures. The current computational environment includes several large mainframes dedicated to AI research, a number of high-performance personal scientific machines, and extensive graphics capabilities.

Second KL-One Workshop

AI Magazine

The second KL-One workshop was held over a five-day period in October, 1981. The workshop included a general conference session, wherein people could report on activies at their own institutions, and a two day working research session.