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Compiling Task Networks into Partial Order Planning Domains

Conference Paper
Publication Date:
1997
abstract:
In this paper we show an approach to conditional planning which is based on a particular three valued logic. Assignments and conditional formulae (built by means of the alternate operator) are used to represent uncertain situations. A model. for actions in a conditional framework is defined by giving an execution function, which returns the updated situation after the execution, and an executability predicate. We also define a weakest precondition semantics in order to determine the least alternative situation in which a plan is executable and, after the execution, a required formula holds. The tools we introduced allow us to compile a plan in a macroaction, which is an abstraction of a plan, neglecting its internal decomposition. It is possible to prove that the use of macroactions is correct in a more complex plan.
Iris type:
4.1 Contributo in Atti di convegno
Keywords:
Artificial intelligence; Semantics; Conditional planning; Three-valued logic; Weakest precondition
List of contributors:
Baioletti, Marco; Marcugini, Stefano; Milani, Alfredo
Authors of the University:
MILANI ALFREDO
Handle:
https://iris.unilink.it/handle/20.500.14085/43382
Book title:
TOPICS IN ARTIFICIAL INTELLIGENCE
Published in:
LECTURE NOTES IN COMPUTER SCIENCE
Series
  • Overview

Overview

URL

http://link.springer.com/chapter/10.1007/3-540-60437-5_29
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