Agent-Based Models in Social Physics

Quang, Le Anh; Jung, Nam Soon; Cho, Eun Sung; Choi, Jae Hwan; Lee, Jae Woo

doi:10.3938/jkps.72.1272

Cited by 14 publications

(8 citation statements)

References 88 publications

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“…In the related models, agents usually form their beliefs (opinions) based exclusively on communication with their peers. In contrast, in real-life systems, individuals are usually embedded into an external environment which they can observe, at least partly, and the content of communication-particularly in case of decision making-is usually related to data referring to this external world 36 .…”

Section: Discussionmentioning

confidence: 99%

Optimal collective decision making: consensus, accuracy and the effects of limited access to information

Berekméri

Zafeiris

2020

Sci Rep

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“Knowledge is power”—holds the popular proverb, because knowledge and information is indeed one of the cornerstones of effective decision making, a requisite all living beings face continually. In fact, effective decision making is a matter of life and death, for individuals and groups alike. Furthermore, in case of group decisions, consensus is also often desirable. This latter one has been studied extensively by means of formal (mathematical) tools (in the field of opinion dynamics), while the first requirement, the process of yielding accurate information has been largely neglected, at least so far. In the present paper we study the optimal structure of groups which are embedded into an external, observable environment for (i) reaching consensus (ii) having well-informed members, and (iii) for those cases when both aspects are equally important. The groups are characterised by their communication networks and individual properties. We find that the group structures fundamentally differ from each other since having well-informed members requires highly specialised individuals embedded into a structured communication network, while consensus is promoted by non-hierarchical networks in which individuals participate equally. We also find that—contrary to intuition—high access to information calls forth hierarchy, and that suggestibility promotes accuracy, not consensus.

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Section: Discussionmentioning

confidence: 99%

Optimal collective decision making: consensus, accuracy and the effects of limited access to information

Berekméri

Zafeiris

2020

Sci Rep

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“…Therefore, taking into account other factors may lead to different conclusions. Luckily, agent-based modeling allows us to tune the conditions of simulations and make the system more realistic by changing agent attributes and rules of behaviors, introducing different system space or adding external environment influence [31].…”

Section: Discussionmentioning

confidence: 99%

“…Finally, taking into account only a positive root, since p * > 0, results in the following formula p * = 1 − 2 q−1 + (1 − 2 q−1 ) 2 + 4q(q − 1) 2q (31) presented in the main text.…”

Section: Derivation Of Formulas For the Critical Points And Stationar...mentioning

confidence: 99%

Think then act or act then think?

et al. 2018

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We introduce a new agent-based model of opinion dynamics in which binary opinions of each agent can be measured and described regarding both pre- and post-influence at both of two levels, public and private, vis-à-vis the influence source. The model combines ideas introduced within the q-voter model with noise, proposed by physicists, with the descriptive, four-dimensional model of social response, formulated by social psychologists. We investigate two versions of the same model that differ only by the updating order: an opinion on the public level is updated before an opinion on the private level or vice versa. We show how the results on the macroscopic scale depend on this order. The main finding of this paper is that both models produce the same outcome if one looks only at such a macroscopic variable as the total number of the individuals with positive opinions. However, if also the level of internal harmony (viz., dissonance) is measured, then significant, qualitative differences are seen between these two versions of the model. All results were obtained simultaneously within Monte Carlo simulations and analytical calculations. We discuss the importance of our studies and findings from three points of view: the theory of phase transitions, agent-based modeling of social systems, and social psychology.

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“…At present, there are many kinds of Agent-based modeling simulation platforms in foreign countries, such as Swarm, Repast, NetLogo and so on. Le Anh Quang et al (2018) has analyzed Agent-based modeling simulation platforms, summarized their applications in social physics systems, and compared the advantages and disadvantages of various simulation platforms. Developed by Santa fe Institute of the USA, Swarm is a platform for ABMS that includes conceptual framework for designing, describing and conducting experiments on ABMS.…”

Section: Related Workmentioning

confidence: 99%

An implementation architecture for crowd network simulations

Zou

Wang

Sun

2020

IJCS

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Purpose Crowd network systems have been deemed as a promising mode of modern service industry and future economic society, and taking crowd network as the research object and exploring its operation mechanism and laws is of great significance for realizing the effective governance of the government and the rapid development of economy, avoiding social chaos and mutation. Because crowd network is a large-scale, dynamic and diversified online deep interconnection, its most results cannot be observed in real world, and it cannot be carried out in accordance with traditional way, simulation is of great importance to put forward related research. To solve above problems, this paper aims to propose a simulation architecture based on the characteristics of crowd network and to verify the feasibility of this architecture through a simulation example. Design/methodology/approach This paper adopts a data-driven architecture by deeply analyzing existing large-scale simulation architectures and proposes a novel reflective memory-based architecture for crowd network simulations. In this paper, the architecture is analyzed from three aspects: implementation framework, functional architecture and implementation architecture. The proposed architecture adopts a general structure to decouple related work in a harmonious way and gets support for reflection storage by connecting to different devices via reflection memory card. Several toolkits for system implementation are designed and connected by data-driven files (DDF), and these XML files constitute a persistent storage layer. To improve the credibility of simulations, VV&A (verification, validation and accreditation) is introduced into the architecture to verify the accuracy of simulation system executions. Findings Implementation framework introduces the scenes, methods and toolkits involved in the whole simulation architecture construction process. Functional architecture adopts a general structure to decouple related work in a harmonious way. In the implementation architecture, several toolkits for system implementation are designed, which are connected by DDF, and these XML files constitute a persistent storage layer. Crowd network simulations obtain the support of reflective memory by connecting the reflective memory cards on different devices and connect the interfaces of relevant simulation software to complete the corresponding function call. Meanwhile, to improve the credibility of simulations, VV&A is introduced into the architecture to verify the accuracy of simulation system executions. Originality/value This paper proposes a novel reflective memory-based architecture for crowd network simulations. Reflective memory is adopted as share memory within given simulation execution in this architecture; communication efficiency and capability have greatly improved by this share memory-based architecture. This paper adopts a data-driven architecture; the architecture mainly relies on XML files to drive the entire simulation process, and XML files have strong readability and do not need special software to read.

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Agent-Based Models in Social Physics

Cited by 14 publications

References 88 publications

Optimal collective decision making: consensus, accuracy and the effects of limited access to information

Optimal collective decision making: consensus, accuracy and the effects of limited access to information

Think then act or act then think?

An implementation architecture for crowd network simulations

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