- 【Updated on May 12, 2025】 Integration of CiNii Dissertations and CiNii Books into CiNii Research
- Trial version of CiNii Research Automatic Translation feature is available on CiNii Labs
- Suspension and deletion of data provided by Nikkei BP
- Regarding the recording of “Research Data” and “Evidence Data”
Quantitative Evaluation of Blocksworld Planners
-
- Matsubara Shigeo
- NTT Communication Science Laboratories
-
- Ishida Toru
- Department of Information Science, Kyoto University
Bibliographic Information
- Other Title
-
- ブロックスワールドを用いた各種プランナの定量的評価
Search this article
Description
This paper evaluates the available planners such as STRIPS, NONLIN, TWEAK by using so called the blocksworld problem. Many planners have been proposed so far. However, the research on these planners only describes the mechanisms of making plans, and their performances are not well known. In this paper, we first define the blocksworld problem. Using this problem, we evaluate the three planners in terms of plan length and CPU time. Experiments will show the following. (1)The plan length and CPU time of the linear planner, STRIPS, get worse exponentially as the interaction between subgoals increases. (2)The nonlinear planner, NONLIN, has better performance than STRIPS in terms of the plan length. However, the CPU time of NONLIN also gets worse exponentially for a large problem. (3)The nonlinear and least commitment planner, TWEAK, has more interaction-removal methods than NONLIN. However, TWEAK can solve only small problems for lack of the knowledge about how to use the methods. We will also show that blocksworld problems have been used to illustrate many planners, however, they are not appropriate for evaluation because there are little differences between trivial solutions and optimal solutions.
Journal
-
- 情報処理学会研究報告. 人工知能研究会報告
-
情報処理学会研究報告. 人工知能研究会報告 93 (69), 21-30, 1993-08-18
Information Processing Society of Japan (IPSJ)
- Tweet
Details 詳細情報について
-
- CRID
- 1570009752154508544
-
- NII Article ID
- 110002941074
-
- NII Book ID
- AN10464118
-
- ISSN
- 09196072
-
- Text Lang
- ja
-
- Data Source
-
- CiNii Articles