Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

Diagrammatic Reasoning: An Artificial Intelligence Perspective

Diagrammatic Reasoning: An Artificial Intelligence Perspective A common motivation for developing computationalframeworks for diagrammatic reasoning is the hope thatthey might serve as re-configurable tools for studyinghuman problem solving performance. Despite the ongoingdebate as to the precise mechanisms by which diagrams,or any other external representation, are used inhuman problem solving, there is little doubt thatdiagrammatic representations considerably help humanssolve certain classes of problems. In fact, there area host of applications of diagrams and diagrammaticrepresentations in computing, from data presentationto visual programming languages. In contrast to boththe use of diagrams in human problem solving and theubiquitous use of diagrams in the computing industry,the topic of this review is the use of diagrammaticrepresentations in automated problem solving. Wetherefore investigate the common, and often implicit,assumption that if diagrams are so useful for humanproblem solving and are so apparent in humanendeavour, then there must be analogous computationaldevices of similar utility. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Artificial Intelligence Review Springer Journals

Diagrammatic Reasoning: An Artificial Intelligence Perspective

Artificial Intelligence Review , Volume 15 (2) – Oct 19, 2004

Loading next page...
 
/lp/springer-journals/diagrammatic-reasoning-an-artificial-intelligence-perspective-YLoYPPFy0i

References (41)

Publisher
Springer Journals
Copyright
Copyright © 2001 by Kluwer Academic Publishers
Subject
Computer Science; Artificial Intelligence (incl. Robotics); Computer Science, general
ISSN
0269-2821
eISSN
1573-7462
DOI
10.1023/A:1006669526043
Publisher site
See Article on Publisher Site

Abstract

A common motivation for developing computationalframeworks for diagrammatic reasoning is the hope thatthey might serve as re-configurable tools for studyinghuman problem solving performance. Despite the ongoingdebate as to the precise mechanisms by which diagrams,or any other external representation, are used inhuman problem solving, there is little doubt thatdiagrammatic representations considerably help humanssolve certain classes of problems. In fact, there area host of applications of diagrams and diagrammaticrepresentations in computing, from data presentationto visual programming languages. In contrast to boththe use of diagrams in human problem solving and theubiquitous use of diagrams in the computing industry,the topic of this review is the use of diagrammaticrepresentations in automated problem solving. Wetherefore investigate the common, and often implicit,assumption that if diagrams are so useful for humanproblem solving and are so apparent in humanendeavour, then there must be analogous computationaldevices of similar utility.

Journal

Artificial Intelligence ReviewSpringer Journals

Published: Oct 19, 2004

There are no references for this article.