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dc.contributor.advisorTerziyan, Vagan
dc.contributor.authorSpiga, Fabiano
dc.date.accessioned2020-07-28T06:56:52Z
dc.date.available2020-07-28T06:56:52Z
dc.date.issued2020
dc.identifier.urihttps://jyx.jyu.fi/handle/123456789/71256
dc.description.abstractThis thesis deals with contemporary emergent approaches to CPS (Cyber Physical System) cognitive automation and embedded-intelligence processes, either with or without a HitL (Human-in-the-Loop) setting. The introduction section describes the concepts of normal processes vs. process exceptions, with their related research questions (read section 1.1 at page 2). Chapter two deals with the most relevant issues that affect CPS control systems, with general descriptions of their technical aspects. Chapter three is centered around cognitive technologies implemented in CPPs (Cyber-Physical Processes) automation and control, with some specific application examples. Chapter four deals with what kind of AI (Artificial Intelligence) aspects need to be tackled so to progressively improve intelligent automation and control systems to a human-like cognition level. The final chapter relates to synthesizing a list of best practices for the discussed AI-driven technologies, in order to design, implement, test, manage and monitor a reliable CPS system, according to its main application domain.en
dc.format.extent139
dc.format.mimetypeapplication/pdf
dc.language.isoen
dc.subject.othercomplex systems
dc.subject.otherCPP (cyber-physical process)
dc.subject.otherCPS (cyber-physical systems)
dc.subject.otherDT (digital twin)
dc.subject.otherHCPS (human-in-the-loop cyber-physical systems)
dc.subject.otherMAS (multiagent system)
dc.subject.otherpredictive analysis
dc.subject.othersemantic technology
dc.subject.otherexception management
dc.subject.otherIID (independent and identical distributed) data
dc.subject.otherOOD (out-of-distribution) data
dc.titleCollective intelligence operations of human and virtual agents in CPS (Cyber Physical System)
dc.identifier.urnURN:NBN:fi:jyu-202007285405
dc.type.ontasotPro gradu -tutkielmafi
dc.type.ontasotMaster’s thesisen
dc.contributor.tiedekuntaInformaatioteknologian tiedekuntafi
dc.contributor.tiedekuntaFaculty of Information Technologyen
dc.contributor.laitosInformaatioteknologiafi
dc.contributor.laitosInformation Technologyen
dc.contributor.yliopistoJyväskylän yliopistofi
dc.contributor.yliopistoUniversity of Jyväskyläen
dc.contributor.oppiaineTietojärjestelmätiedefi
dc.contributor.oppiaineInformation Systems Scienceen
dc.rights.copyrightJulkaisu on tekijänoikeussäännösten alainen. Teosta voi lukea ja tulostaa henkilökohtaista käyttöä varten. Käyttö kaupallisiin tarkoituksiin on kielletty.fi
dc.rights.copyrightThis publication is copyrighted. You may download, display and print it for Your own personal use. Commercial use is prohibited.en
dc.type.publicationmasterThesis
dc.contributor.oppiainekoodi601
dc.subject.ysojoukkoäly
dc.subject.ysoautomaatio
dc.subject.ysotekoäly
dc.subject.ysokoneoppiminen
dc.subject.ysotietojärjestelmät
dc.subject.ysocollective intelligence
dc.subject.ysoautomation
dc.subject.ysoartificial intelligence
dc.subject.ysomachine learning
dc.subject.ysodata systems
dc.format.contentfulltext
dc.rights.accessrightsTekijä ei ole antanut lupaa avoimeen julkaisuun, joten aineisto on luettavissa vain Jyväskylän yliopiston kirjaston arkistotyösemalta. Ks. https://kirjasto.jyu.fi/fi/tyoskentelytilat/laitteet-ja-tilat..fi
dc.rights.accessrightsThe author has not given permission to make the work publicly available electronically. Therefore the material can be read only at the archival workstation at Jyväskylä University Library (https://kirjasto.jyu.fi/en/workspaces/facilities).en
dc.type.okmG2


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