Published May 2018 | Version v1
Journal article

Hybrid consensus for averager–copier–voter networks with non-rational agents

Creators

  • 1. School of Mathematical Sciences, Tongji University, Shanghai, 200092 (China)

Description

Highlights: • We study a hybrid opinion network consisting of continuous-valued and discrete-valued agents. • An averager–copier–voter filtering strategy is proposed to withstand non-rational agents in fixed and time-dependent networks. • We establish necessary and sufficient conditions for stochastic consensus in the presence of locally and globally bounded non-rational agents. • The existence of voters is found to play a role in the consensus building process through numerical simulations. - Abstract: For many social dynamical systems with heterogenous communicating components there exist non-rational agents, whose full profile (such as location and number) is not accessible to the normal agents a priori, posing threats to the group goal of the community. Here we demonstrate how to provide resilience against such non-cooperative behaviors in opinion dynamics. We focus in particular on the consensus of a hybrid network consisting of continuous-valued averager, copier agents and discrete-valued voter agents, where the averagers average the opinions of their neighbors and their own deterministically, while copiers and voters update their opinions following some stochastic strategies. Based upon a filtering strategy which removes some fixed number of opinion values, we establish varied necessary and sufficient conditions for the hybrid opinion network to reach consensus in mean in the presence of globally and locally bounded non-rational agents. The communication topologies are modeled as directed fixed as well as time-dependent robust networks. Although our results are shown to be irrespective of the proportion of the averager, copier, and voters, we find that the existence of voters has distinct influence on the evolution and consensus value of the negotiation process.

Availability note (English)

Available from http://dx.doi.org/10.1016/j.chaos.2018.03.037

Additional details

Identifiers

DOI
10.1016/j.chaos.2018.03.037;
PII
S0960077918301383;

Publishing Information

Journal Title
Chaos, Solitons and Fractals
Journal Volume
110
Journal Page Range
p. 244-251
ISSN
0960-0779

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
51023572
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
COMPUTERIZED SIMULATION; DYNAMICAL SYSTEMS; NEGOTIATION; STOCHASTIC PROCESSES; TIME DEPENDENCE; TOPOLOGY
Descriptors DEC
MATHEMATICS; SIMULATION

Optional Information

Notes
© 2018 Elsevier Ltd. All rights reserved.