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1.
This paper presents an evaluation of a heuristic for partial-order planning, known as temporal coherence. The temporal coherence heuristic was proposed by Drummond and Currie as a method to improve the efficiency of partial-order planning without losing the ability to find a solution (i.e., completeness). It works by using a set of domain constraints to prune away plans that do not "make sense," or are temporally incoherent. Our analysis shows that, while intuitively appealing, temporal coherence can only be applied to a very specific implementation of a partial-order planner and still maintain completeness. Furthermore, the heuristic does not always improve planning efficiency; in some cases, its application can actually degrade the efficiency of planning dramatically. To understand when the heuristic will work well, we conducted complexity analysis and empirical tests. Our results show that temporal coherence works well when strong domain constraints exist that significantly reduce the search space, when the number of subgoals is small, when the plan size is not too large, and when it is inexpensive to check each domain constraint.  相似文献   

2.
  总被引:1,自引:0,他引:1  
The author introduces a new methodological framework for dealing with complex issues, named Integrative Systems Methodology (ISM). ISM is a general heuristic to help actors in organizations and society achieve requisite variety. For this purpose, numerous \"problem solving\" approaches have been developed. ISM is aimed at overcoming the drawbacks of many established methodologies. It emphasizes an extended perspective outlining a process which operates on both levels, \"content\" and \"context\", synchronically. At the same time, ISM leverages the complemenarities of positivistic/representationist and hermeneutic/interpretive perspectives and allows for combining qualitative and quantitative modelling techniques. The potential of ISM is illustrated by means of an up-to-date case study, in which different methodologies are synthesized to overcome their respective limitations. Several applications developed over the years have led to new insights which enable the handling of complexity more effectively with the help of ISM.  相似文献   

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