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This paper aims to provide an approach for dynamic coordination taking advantage of the hierarchical plans representation and the ability to reasoning on abstract tasks.
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Methods of site plan representation are also scrutinized.
We present, in this paper, a software framework for plan management, which is based on a novel plan representation.
The second main contribution of this work is the introduction of a representation for plans and goals that solves two problems inherent in many approaches to plan representation.
Each strategy is defined in terms of a plan representation, truth criterion and an example plan generation procedure which maps out a clearly specified search graph.
This provides the flexibility to generate useful and informative partial solutions, symbolic and textual, for inclusion in the symbolic plan representation and protocol document, respectively.
Effectiveness was measured in three ways: the number of inventory elements captured at least once by the plan (representation), the total number of inventory elements captured (completeness), and the proportion of land in the inventory-based plan included (overlap).
The finite element models consisted of a two-dimensional plan representation of the FRP sheet and interface elements connecting the sheet to the concrete substrate.
However, analyses of the adolescents' protocols revealed a pattern of performance suggestive of total-order plan representations.
We show how these planning representations form four thematic value clusters concerning urban public space, namely leisure play, identity unity, power organization and unruliness change.
Since different plan representations induce distinct search spaces, the subgoals for a given problem may be trivially serializable for one planner, laboriously serializable for another, and nonserializable for a third.
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