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.


(AA)AI More than the Sum of Its Parts

AI Magazine

Recent thinking has it that AI, 25 years ago a unified field with a shared vision of creating intelligent machines, has devolved into a loosely connected set of distinct specialty areas with little communication or mutual interest between them. To the extent that this is true, it certainly appears to lessen the value of a centralized AI organization like AAAI and of traditional grand-scale AI conferences. 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.


Getting Back to "The Very Idea"

AI Magazine

For many years, the very idea of artificial intelligence has been provocative and exciting. However, with a continually increasing focus on specialized subareas and somewhat narrow technical problems (both of which are inevitable and in many ways healthy), we may be torpedoing our core research agenda: the creation of a true synthetic intelligence. I reflect briefly on the essential interdependencies of the components of intelligence, the important roles of architecture and integration, and the need to get back to thinking about the very idea of AI. AAAI's role in the field has evolved over the years, but after a quarter-century as an organization, and a half-century as a field, it seems like AAAI is in an ideal situation to bring AI as a whole back to its roots.


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.


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.