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Showing papers on "Applications of artificial intelligence published in 1979"




Proceedings Article
20 Aug 1979
TL;DR: The unexpected linguistic and semantic difficulties encountered in the 12 commercial applications to which ROBOT has been applied during the last year and a half are discussed.
Abstract: The ability to understand Natural Language has long been a goal of Artificial Intelligence Research, and it is still far from being solved, however, in the early 1970's the AI research techniques reached a point whereby certain applications became feasible for the first time. Since that time, several systems such as PLANES[1], LIFER[2], and ROBOT[3,4,5] have been built that have demonstrated that the current state of the art is sufficient for quite good natural language data base query. The implementation of the R0301 system has been geared for high performance and instaliaoility in accual real world environments. As such, it offers the AI research community some insight into the difficulties encountered when putting the current: AI technology in the hands of people in the real world. This paper discusses the unexpected linguistic and semantic difficulties encountered in the 12 commercial applications to which ROBOT has been applied during the last year and a half.

23 citations


01 Aug 1979
TL;DR: The Handbook of Artificial Intelligence intends to cover the breadth and depth of AI, presenting general overviews of the scientific issues, as well as detailed discussions of particular techniques and important AI systems.
Abstract: : Those of us involved in the creation of the Handbook of Artificial Intelligence, both writers and editors, have attempted to make the concepts, methods, tools, and main results of artificial intelligence research accessible to a broad scientific and engineering audience. Currently, AI work is familiar mainly to its practicing specialists and other interested computer scientists. Yet the field is of growing interdisciplinary interest and practical importance. With this book we are trying to build bridges that are easily crossed by importance. With this book we are trying to build bridges that are easily crossed by engineers, scientists in other fields, and our own computer science colleagues. In the Handbook we intend to cover the breadth and depth of AI, presenting general overviews of the scientific issues, as well as detailed discussions of particular techniques and important AI systems. Throughout we have tried to keep in mind the reader who is not a specialist in AI.

5 citations