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.

Compiling Task Networks into Partial Order Planning Domains

MILANI, Alfredo
1997-01-01

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.
1997
Inglese
Inglese
TOPICS IN ARTIFICIAL INTELLIGENCE
4th Congress of the Italian-Association-for-Artificial-Intelligence (AIIA 95)
992
291
302
12
3-540-60437-5
http://link.springer.com/chapter/10.1007/3-540-60437-5_29
SPRINGER-VERLAG BERLIN, HEIDELBERGER PLATZ 3, W-1000 BERLIN 33, GERMANY
Esperti anonimi
OCT 11-13, 1995
FLORENCE, ITALY
Internazionale
Artificial intelligence
Semantics
Conditional planning
Three-valued logic
Weakest precondition
3
none
Baioletti, Marco; Marcugini, Stefano; Milani, Alfredo
273
info:eu-repo/semantics/conferenceObject
4 Contributo in Atti di Convegno (Proceeding)::4.1 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14085/43382
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