An Hypothesis-Driven Recognition System for the Blocks World
Name
AI_WP_063.pdf
Description
Main article
Size
1.05 MB
Format
Adobe PDF
Checksum (MD5)
0592f19fd6fb2f31aae33b3d5d4c269a
Author(s)
Kuipers, Benjamin J.
Date Issued
March 1974
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-63
Abstract
This paper presents a visual recognition program in which recognition process is driven by hypotheses about the object being recognized. The hypothesis suggests which features to examine next, refines its predictions based on observed information, and selects a new hypothesis when observations contradict its predictions. After presenting the program, the paper identifies and discusses a number of theoretical issues raised by this work.
Description
Work reported herein was conducted at the Artificial Intelligence Laboratory, a Massachusetts Institute of Technology research program supported in part by the Advanced Research Projects Agency of the Department of Defense and monitored by the Office of Naval Research under Contract Number N00014-70-A-0362-0005.
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