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On the modeling of neural cognition for social network applications
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Electrical Engineering (EES), Automatic Control. KTH, School of Electrical Engineering (EES), Centres, ACCESS Linnaeus Centre.
KTH, School of Industrial Engineering and Management (ITM), Energy Technology, Applied Thermodynamics and Refrigeration.ORCID iD: 0000-0002-2300-2581
KTH, School of Architecture and the Built Environment (ABE), Sustainable development, Environmental science and Engineering, Resources, Energy and Infrastructure.
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2017 (English)In: 2017 IEEE Conference on Control Technology and Applications (CCTA), Institute of Electrical and Electronics Engineers (IEEE), 2017Conference paper, Published paper (Refereed)
Abstract [en]

In this paper, we study neural cognition in social network. A stochastic model is introduced and shown to incorporate two well-known models in Pavlovian conditioning and social networks as special case, namely Rescorla-Wagner model and Friedkin-Johnsen model. The interpretation and comparison of these model are discussed. We consider two cases when the disturbance is independent identically distributed for all time and when the distribution of the random variable evolves according to a Markov chain. We show that the systems for both cases are mean square stable and the expectation of the states converges to consensus.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2017.
National Category
Control Engineering
Identifiers
URN: urn:nbn:se:kth:diva-214801DOI: 10.1109/CCTA.2017.8062680ISBN: 978-1-5090-2183-3 (print)OAI: oai:DiVA.org:kth-214801DiVA: diva2:1143378
Conference
2017 IEEE Conference on Control Technology and Applications, August 27-30, 2017, Hawaii, USA
Note

QC 20170921

Available from: 2017-09-21 Created: 2017-09-21 Last updated: 2017-12-12Bibliographically approved

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Wei, JieqiangWu, JunfengMolinari, MarcoCvetkovic, VladimirJohansson, Karl Henrik
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Automatic ControlACCESS Linnaeus CentreApplied Thermodynamics and RefrigerationResources, Energy and Infrastructure
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CiteExportLink to record
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Citation style
  • apa
  • harvard1
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  • modern-language-association-8th-edition
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  • de-DE
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  • Other locale
More languages
Output format
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