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To build a machine that has 'common sense' was once a principal goal in the field of Artificial Intelligence. But most researchers in recent years have retreated from that ambitious aim. Instead, each developed some special technique that could deal with some class of problem well, but does poorly at almost everything else. We are convinced, however, that(More)
This paper is based on a theory being developed in collaboration with Seymour Papert [Note 1] in which we view the mind as an organized society of intercommunicating "agents". Each such agent is, by itself, very simple. The subject of this paper is how that simplicity affects communication between different parts of a single mind and, indirectly, how it may(More)
Shannon. The original typescript consisted of 17 pages plus a title page. Copies of the typescript are housed in the archives at Dartmouth College and Stanford University. The first 5 papers state the proposal, and the remaining pages give qualifications and interests of the four who proposed the study. In the interest of brevity, this article reproduces(More)
We examine several formulations of the common practice of jumping to conclusions when actions demand decisions but solid knowledge fails. This practice permeates artificial intelligence, where systems assume many conclusions automatically as defaults simply because the questions they decide are known to occur frequently, and where other assumptions are(More)