Accession Number : ADA290052
Title : Automated Reasoning about Classical Mechanics.
Descriptive Note : Technical rept.,
Corporate Author : MASSACHUSETTS INST OF TECH CAMBRIDGE ARTIFICIAL INTELLIGENCE LAB
Personal Author(s) : Wong, Leon
PDF Url : ADA290052
Report Date : MAY 1994
Pagination or Media Count : 108
Abstract : In recent years, researchers in artificial intelligence have become interested in replicating human physical reasoning talents in computers. One of the most important skills in this area is predicting how physical systems will behave. This thesis discusses an implemented program that generates algebraic descriptions of how systems of rigid bodies evolve over time. Discussion about the design of this program identifies a physical reasoning paradigm and knowledge representation approach based on mathematical model construction and algebraic reasoning. This paradigm offers several advantages over methods that have become popular in the field, and seems promising for reasoning about a wide variety of classical mechanics problems. (AN)
Descriptors : *REASONING, *ARTIFICIAL INTELLIGENCE, KINEMATICS, VELOCITY, MATHEMATICAL MODELS, COMPUTERIZED SIMULATION, SOFTWARE ENGINEERING, AUTOMATION, ALGEBRA, MOTION, LEARNING MACHINES, THESES, PROBLEM SOLVING, MATHEMATICAL PREDICTION, KNOWLEDGE BASED SYSTEMS, BEHAVIOR, RIGIDITY, FORCE(MECHANICS).
Subject Categories : Cybernetics
Distribution Statement : APPROVED FOR PUBLIC RELEASE