Artificial Intelligence Research in the People's Republic of China: A Review Abstract Since the 1970's AI research has become very active in China and certain results have been achieved. This paper is intended to review briefly what was and is going on in AI field in China. Since the 1970's AI research has become very active in China and certain results have been achieved. This paper is intended to review briefly what was and is going on in AI field in China.

Pierre Bierre Project's proclaimed goals is one vitally important in Clairvoyant Systems a 1990's knowledge-intensive society.....the ability to help A decade from now, the nation will be crisscrossed with fiberoptic bundles capable of simultaneously carrying thousands of hiresolution video conversations, and solid-state video cameras will be as abundant as microphone pickup devices are today. Dear Editor: In short, the voice-telephone and printed-page information One of the sections I most look forward to in each new networks over which we communicate will be joined by 2-issue of the AI Magazine is the one entitled "Research in way, super-narrowcast video, where each knowledge worker Progress." I like to see informative overviews of the research both receives product from myriad sources ad reshapes and being conducted in different AI centers. I am sure there is some justification and teaching. Already, one can "walk through" for this concentration, but I am inclined to believe there are ' homes for sale thousands of miles away, learn how to assemble, other institutions that have, unfortunately, remained relatively operate and fix complex machinery, drive around What makes video I am concerned about this situation for one major reason.

I completely agree with this evaluation book describes the current state of work in artificial intelligence The book contains descriptions of the "knowledge engineer" (AI) in the US and abroad, it outlines the history of

Cooperative distributed problem solving networks are distributed networks of semi-autonomous processing nodes that work together to solve a single problem. The Distributed Vehicle Monitoring Testbed is a flexible and fully-instrumented research tool for empirically evaluating alternative designs for these networks. The testbed simulates a class of a distributed knowledge-based problem solving systems operating on an abstracted version of a vehicle monitoring task. There are two important aspects to the testbed: (1.) it implements a novel generic architecture for distributed problems solving networks that exploits the use of sophisticated local node control and meta-level control to improve global coherence in network problem solving; (2.) it serves as an example of how a testbed can be engineered to permit the empirical exploration of design issues in knowledge AI systems. The testbed is capable of simulating different degrees of sophistication in problem solving knowledge and focus-of attention mechanisms, for varying the distribution and characteristics of error in its (simulated) input data, and for measuring the progress of problem solving. Node configuration and communication channel characteristics can also be independently varied in the simulated network.

This issue of the AI Magazine initiates a new and artistic efforts can have a real effect on our and (we hope) regular feature, Reviews of Books. Before presenting our first book review, a few comments Visions of applications of computer technology can about the aims of this feature are in order. However, we are general public. For the reasons outlined above as particularly interested in reviewing publications well as others, review and discussion of popular that attempt to provide tutorial and other forms treatments of work in AI are a useful adjunct to of summary discussions of broad areas of artificial the standard sorts of review to be included in this intelligence, publications that examine existing research column. We extend an invitation to anyone interested since one goal of the AI Magazine is to provide a in submitting a review.

Machine learning has always been an integral part of artificial intelligence, and its methodology has evolved in concert with the major concerns of the field. In response to the difficulties of encoding ever-increasing volumes of knowledge in modern AI systems, many researchers have recently turned their attention to machine learning as a means to overcome the knowledge acquisition bottleneck. This article presents a taxonomic analysis of machine learning organized primarily by learning strategies and secondarily by knowledge representation and application areas. A historical survey outlining the development of various approaches to machine learning is presented from early neural networks to present knowledge-intensive techniques.

Early this year fifty people took an experimental course at Xerox PARC on knowledge programming in Loops. During the course, they extended and debugged small knowledge systems in a simulated economics domain called Truckin. Everyone learned how to use the environment Loops, formulated the knowledge for their own program, and represented it in Loops. At the end of the course a knowledge competition was run so that the strategies used in the different systems could be compared. The punchline to this story is that almost everyone learned enough about Loops to complete a small knowledge system in only three days. Although one must exercise caution in extrapolating from small experiments, the results suggest that there is substantial power in integrating multiple programming paradigms.

Distinguished Service Award: IJCAI 1983

Various groups of ascertainable individuals have been granted the status of "persons" under American law, while that status has been denied to other groups. This article examines various analogies that might be drawn by courts in deciding whether to extend "person" status to intelligent machines, and the limitations that might be placed upon such recognition. As an alternative analysis, this article questions the legal status of various human/machine interfaces, and notes the difficulty in establishing an absolute point beyond which legal recognition will not extend.

I am pleased to announce that Arthur Samuel has been selected as the recipient of the IJCAI Distinguished Service Award for 1983. I am pleased to announce that Arthur Samuel has been selected as the recipient of the IJCAI Distinguished Service Award for 1983.