2019
DOI: 10.14736/kyb-2019-4-0714
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Multiagent opinion dynamics influenced by individual susceptibility and anchoring effect

Abstract: Institute of Mathematics of the Czech Academy of Sciences provides access to digitized documents strictly for personal use. Each copy of any part of this document must contain these Terms of use.

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Cited by 2 publications
(3 citation statements)
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References 19 publications
(41 reference statements)
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“…Remark 4.7. In social networks, consensus algorithms are widely used to express the evaluation of the opinions of the individuals [5,11]. We conclude from Theorem 4.5 that it is theoretically possible to influence all individuals by connecting l p − 1 individuals together.…”
Section: Creating New Linksmentioning
confidence: 84%
See 1 more Smart Citation
“…Remark 4.7. In social networks, consensus algorithms are widely used to express the evaluation of the opinions of the individuals [5,11]. We conclude from Theorem 4.5 that it is theoretically possible to influence all individuals by connecting l p − 1 individuals together.…”
Section: Creating New Linksmentioning
confidence: 84%
“…The consensus problem has received considerable critical attention in recent past due to its applicability in different fields including social networks [5,11], wireless sensor networks [20], computer networks [2], power grids [22], distributed decision making [21], distributed optimization [16] and robotics [3,15]. In particular, consensus algorithms are widely used in multi-robot systems in formation control [1,14,25], orientation control [17], containment control [4], trajectory tracking [26], rendezvous problem [8] and task allocation [6].…”
Section: Introductionmentioning
confidence: 99%
“…With the development of computer simulation technology, the idea of multiagent simulation has also been gradually applied to the study of the group opinion evolution. e multiagent modeling and simulation method is particularly suitable for the uncertain occasion in which the behavior of each agent is relatively simple, follows certain interaction rules, has better suitability, and can learn and accumulate experience [9,10]. While social groups are a decentralized platform where users can communicate freely, individual consumers choose whether to participate in the joint purchase through interaction; moreover, the psychology and behavior of group members follow some regularity; therefore, multi-agent modeling and simulation method is used to simulate the group opinion evolution process of collaborative shopping.…”
Section: Introductionmentioning
confidence: 99%