Encoding of Planning Problems and their Optimizations in Linear Logic
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A10084072" target="_blank" >RIV/00216208:11320/09:10084072 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Encoding of Planning Problems and their Optimizations in Linear Logic
Original language description
Girard's Linear Logic is a useful formalism which can be used to manage a lot of problems with consumable resources. Its expressiveness is quite good for easily understandable encoding of many problems. We concentrated on expressing planning problems bylinear logic in this paper. We observed a rich usage of a construct of consumable resource in planning problem formulation. This fact motivates us to develop encoding of planning problems in linear logic. This paper shows how planning problems can be encoded in Linear Logic and how to encode some optimizations of these planning problems which can be used to improve the efficiency of finding solutions (plans).T
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
JD - Use of computers, robotics and its application
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Lecture Notes in Computer Science
ISSN
0302-9743
e-ISSN
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Volume of the periodical
2010
Issue of the periodical within the volume
5437
Country of publishing house
DE - GERMANY
Number of pages
15
Pages from-to
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UT code for WoS article
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EID of the result in the Scopus database
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