Special Issue on Artificial Intelligence Techniques for Pervasive Computing; Guest Editors: Ioannis Vlahavas and Nick BassiliadesNo Access

HYBRID TECHNOLOGY FOR SELF-ORGANIZATION OF RESOURCES OF PERVASIVE ENVIRONMENT FOR OPERATIONAL DECISION SUPPORT

ALEXANDER SMIRNOV

Laboratory of Computer Aided Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St.Petersburg, 199178, Russia

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TATIANA LEVASHOVA

Laboratory of Computer Aided Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St.Petersburg, 199178, Russia

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NIKOLAY SHILOV

Laboratory of Computer Aided Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St.Petersburg, 199178, Russia

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, and

ALEXEY KASHEVNIK

Laboratory of Computer Aided Systems, St. Petersburg Institute for Informatics and Automation of the Russian Academy of Sciences, 39, 14th line, St.Petersburg, 199178, Russia

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https://doi.org/10.1142/S0218213010000121Cited by:9 (Source: Crossref)

Abstract

The paper addresses the development of a hybrid technology for operational decision support in a pervasive environment. The technology encompasses the idea of implementing a decision support system as a set of Web-services. The Web-services are intended to form an ad-hoc collaborative environment, whose members cooperate with an objective of serving the current needs according to the decision situation. The collaborative environment is made up of resources of a pervasive environment. The technology is focused on three types of resources to be organized: information, problem-solving, and acting, and is supported by a service-based architecture of the decision support system providing types of Web-services needed for this technology implementation. The hybrid technology integrates technologies of ontology management, context management, constraint satisfaction, Web-services, profiling, and intelligent agents. The technology application is illustrated by the decision support for dynamic logistics.

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