Applying integer programming to AI planning Journal Article

Overview

abstract

• Despite the historical difference in focus between AI planning techniques and Integer Programming (IP) techniques, recent research has shown that IP techniques show significant promise in their ability to solve AI planning problems. This paper provides approaches to encode AI planning problems as IP problems, describes some of the more significant issues that arise in using IP for AI planning, and discusses promising directions for future research.

CU Boulder Authors

• Vossen, Thomas

publication date

• March 1, 2000

has restriction

• closed

Date in CU Experts

• June 26, 2014 10:40 AM

Full Author List

• VOSSEN T; BALL M; LOTEM A; NAU D

author count

• 4

published in

• Knowledge Engineering Review  Journal

Other Profiles

International Standard Serial Number (ISSN)

• 0269-8889

Electronic International Standard Serial Number (EISSN)

• 1469-8005

Digital Object Identifier (DOI)

• https://doi.org/10.1017/s0269888900001065

Additional Document Info

start page

• 85

end page

• 100

volume

• 15

issue

• 1