<efrbr:recordSet xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:efrbr="http://vfrbr.info/efrbr/1.1" xmlns:efrbr-work="http://vfrbr.info/efrbr/1.1/work" xmlns:efrbr-expression="http://vfrbr.info/efrbr/1.1/expression" xmlns:efrbr-manifestation="http://vfrbr.info/efrbr/1.1/manifestation" xmlns:efrbr-person="http://vfrbr.info/efrbr/1.1/person" xmlns:efrbr-corporateBody="http://vfrbr.info/efrbr/1.1/corporateBody" xmlns:efrbr-concept="http://vfrbr.info/efrbr/1.1/concept" xmlns:efrbr-structure="http://vfrbr.info/efrbr/1.1/structure" xmlns:efrbr-responsible="http://vfrbr.info/efrbr/1.1/responsible" xmlns:efrbr-subject="http://vfrbr.info/efrbr/1.1/subject" xmlns:efrbr-other="http://vfrbr.info/efrbr/1.1/other" xsi:schemaLocation="http://vfrbr.info/efrbr/1.1 http://vfrbr.info/schemas/1.1/efrbr.xsd"><efrbr:entities><efrbr-work:work identifier="http://purl.tuc.gr/dl/dias/8B708A0D-2C6D-4D1D-8003-9E340DBBF18F"><efrbr-work:titleOfTheWork>An agent-based system for products penetration strategy selection
</efrbr-work:titleOfTheWork></efrbr-work:work><efrbr-expression:expression identifier="http://purl.tuc.gr/dl/dias/8B708A0D-2C6D-4D1D-8003-9E340DBBF18F"><efrbr-expression:titleOfTheExpression>An agent-based system for products penetration strategy selection
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            Peer-Reviewed Journal Publication
            Δημοσίευση σε Περιοδικό με Κριτές
         </efrbr-expression:formOfExpression><efrbr-expression:dateOfExpression type="issued">2015-11-03</efrbr-expression:dateOfExpression><efrbr-expression:dateOfExpression type="published">2003</efrbr-expression:dateOfExpression><efrbr-expression:languageOfExpression vocabulary="iso639-1">en</efrbr-expression:languageOfExpression><efrbr-expression:summarizationOfContent>This paper describes an agent-based system implementing an original consumer-based methodology for product penetration strategy selection in real-world situations. Agents are simultaneously considered according to two different levels: a functional and a structural level. In the functional level, we have three types of agents: task agents, information agents, and interface agents assuming task fulfillment through cooperation, information gathering tasks, and mediation between users and artificial agents, respectively. In the structural level, we have elementary agents based on a generic reusable architecture and complex agents considered as an agent organization created dynamically in an hierarchical way.</efrbr-expression:summarizationOfContent><efrbr-expression:useRestrictionsOnTheExpression type="creative-commons">http://creativecommons.org/licenses/by/4.0/</efrbr-expression:useRestrictionsOnTheExpression><efrbr-expression:note type="journal name">Applied Artificial Intelligence</efrbr-expression:note><efrbr-expression:note type="journal volume">10</efrbr-expression:note><efrbr-expression:note type="journal number">17</efrbr-expression:note><efrbr-expression:note type="page range">901-925</efrbr-expression:note></efrbr-expression:expression><efrbr-person:person identifier="http://users.isc.tuc.gr/~nmatsatsinis"><efrbr-person:nameOfPerson vocabulary="TUC:LDAP">
            Matsatsinis Nikolaos
            Ματσατσινης Νικολαος
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            Moraïtis, Pavlos
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            Vangelis Psomatakis
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            Spanoydakis Nikolaos I.
            Σπανουδάκης Νικόλαος Ι.
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            Taylor &amp; Francis
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            Applied artificial intelligence
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