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Is AI planning now?
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Volume 9 ,  Issue 2  (Fall 1998) table of contents
COLUMN: Point of view table of contents
Pages: 37 - 39  
Year of Publication: 1998
ISSN:0163-5719
Authors
Leo Hartman  Canadian Space Agency, Montreal, Canada
Louis Hoebel  General Electric CRD, Schenectady, NY
Publisher
ACM  New York, NY, USA
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ABSTRACT

The current state of domain independent planning allows for a variety of levels of sophistication for describing world behavior and goals or objectives that the planner is to satisfy. Planners have become very efficient at searching the combinatorial spaces implicitly defined by these descriptions. On the results of the AIPS-98 planning competition, Yale University Professor and AIPS Planning Competition Chair, Drew McDermott states, "It is hard to draw any conclusion from these data, except to note that all of these planners performed very well, compared to the state of the art a few years ago. Many of the plans found were 30 or 40 steps long, and some were longer than 100 steps." [1, 10]


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
URL: http://www.cs.yale.edu/HTML/YALE/CS/HyPlans/mcdermott.html.
 
2
Marie Bienkowski and Louis Hoebel. "Integrating AI Applications in a Military Planner." Proceedings of the National Conference on AI, July 1998.
 
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6
Fahiem. Bacchus, and Froduald Kabanza. "Using Temporal Logic to Control Search in a Forward Chaining Planner." Proceedings of the 3rd European Workshop on Planning, 1995; see also ftp://logos.uwaterloo.ca/pub/t/plan/t/plan.ps.
 
7
Jonathan Schaeffer. One Jump Ahead. Springer-Verlag, 1997.
 
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9
see AI Magazine, cover story Vol. 18 no. 4, Winter 1997.
 
10
Collaborative Colleagues:
Leo Hartman: colleagues
Louis Hoebel: colleagues