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Τύπος: Πρακτικά συνεδρίου
Τίτλος: DRAMa: an IoT IoT-enabled distributed reputation agent model
Συγγραφέας: [EL] Κραβάρη, Καλλιόπη[EN] Kravari, Kalliopisemantics logo
[EL] Ustyantseva, Mariasemantics logo
[EL] Βασιλειάδης, Νικόλαος[EN] Bassiliades, Nicksemantics logo
Ημερομηνία: Ιου-2018
Περίληψη: The Internet of Things is a network of objects, called Things, which can interact with the environment or other Things, with no human intervention. At the same time, multi multi-agent systems are considered a modern medium of communication and interaction with l imited or no human intervention. Hence, combining agent technology with the Internet of Things seems promising. Yet , the open, distributed and heterogeneous environment raises important challenges, such as trustworthiness among the various devices and part icipants. Hence , distributed reputation models inevitably attract more attention. In this paper we propose DRAMa, a distributed reputation model that provides a novel mechanism mechanism, combin ing reputation with risk and reward. DRAMa attempts to reverse the tradi tional view of reputation models by involving auctions in the decision making procedures procedures. Finally , an evaluation of the model demonstrat es the added value of the approach.
Γλώσσα: Αγγλικά
Τόπος δημοσίευσης: Patra, Greece
Σελίδες: 4
DOI: 10.1145/3200947.3201048
ISBN: 978-1-4503-6433-1
Θεματική κατηγορία: [EL] Τεχνητή νοημοσύνη[EN] Artificial Intelligencesemantics logo
Λέξεις-κλειδιά: Intelligent Multi-agent SystemsInternet of ThingsAgent ReputationDistributed Trust Reputation Model
Κάτοχος πνευματικών δικαιωμάτων: © 2018 Association for Computing Machinery
Όροι και προϋποθέσεις δικαιωμάτων: Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Permissions@acm.org.
Ηλεκτρονική διεύθυνση του τεκμηρίου στον εκδότη: https://dl.acm.org/doi/10.1145/3200947.3201048
Σελίδες τεκμηρίου (στην πηγή): 1-4
Σειρά δημοσίευσης: SETN: Hellenic Conference on Artificial Intelligence
Τοποθεσία εκδήλωσης: Patras Greece
Ημ/νία έναρξης εκδήλωσης: 09/07/2018
Ημ/νία λήξης εκδήλωσης: 12/07/2018
Σημειώσεις: The Postdoctoral Research was implemented through an IKY scholarship funded by the "Strengthening Post-Academic Researchers / Researchers" Act from the resources of the OP "Human Resources Development, Education and Lifelong Learning" priority axis 6,8,9 and co-funded by The European Social Fund - the ESF and the Greek government.
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