Representing Change for Common-Sense Physical Reasoning
Name
AI_WP_243.pdf
Description
Main article
Size
1.02 MB
Format
Adobe PDF
Checksum (MD5)
ed8ed195b721fb337fcfb8b368e69c47
Author(s)
Doyle, Richard J.
Date Issued
January 1983
Publisher
MIT Artificial Intelligence Laboratory
Series/Report no.
MIT Artificial Intelligence Laboratory Working Papers, WP-243
Abstract
Change pervades every moment of our lives. Much of our success in dealing with a constantly changing world is based in common-sense physical reasoning about processes and physical systems. Processes are the way quantities interact over time. Physical systems can be described as a set of quantities and the processes that operate on them. Representations for causality, time, and quantity are needed to fully characterize change in this domain. Several ideas for these representations are examined and synthesized in this paper towards the goal of constructing a framework to support understanding of, reasoning about, and learning how things work.
Persistent DSpace Link
