The 2008 Classic Paper Award: Summary and Significance

Authors

  • Peter Friedland

DOI:

https://doi.org/10.1609/aimag.v31i4.2309

Abstract

We at the NASA laboratory believed that our best work came when we simultaneously advanced AI theory and provided immediately usable solutions for current NASA problems. “Solving Large-Scale Constraint Satisfaction and Scheduling Problems Using a Heuristic Repair Method,” by Steve Minton, Mark Johnston, Andy Phillips, and Phil Laird clearly achieved both. It proved that local search and repair was applicable to a wide class of constraint satisfaction problems and clearly explicated the theory behind that proof.

Downloads

Published

2010-09-25

How to Cite

Friedland, P. (2010). The 2008 Classic Paper Award: Summary and Significance. AI Magazine, 31(4), 109-110. https://doi.org/10.1609/aimag.v31i4.2309

Issue

Section

Columns