Quantum Modeling of Social Dynamics

2010 ◽  
Vol 1 (1) ◽  
pp. 1-11 ◽  
Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

In this paper, the authors apply models extracted from the Many-Body Quantum Mechanics to understand how knowledge production is correlated to the innovation potential of a work team. This study is grounded in key assumtpions. First, complexity theory applied to social science suggests that it is of paramount importance to consider elements of non-objectivity and non-determinism in the statistical description of socio-economic phenomena. Second, a typical factor of indeterminacy in the explanation of these phenomena lead to the need to apply the instruments of quantum physics to formally describe social behaviours. In order to experiment the validity of the proposed mathematic model, the research intends to: 1) model nodes and interactions; 2) simulate the network behaviour starting from specific defined models; 3) visualize the macroscopic results emerging during the analysis/simulation phases through a digital representation of the social network.

Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following question: which models of the quantum physics are suitable to represent the behaviour and the evolution of business processes? The innovative aspects of the project are related to the application of models and methods of the quantum mechanics to social systems. In order to validate the proposed mathematical model, the authors intend to define an open-source platform able to model nodes and interactions within a network, to visualize the macroscopic results through a digital representation of the social networks.


2014 ◽  
pp. 909-921
Author(s):  
C. Bisconti ◽  
A. Corallo ◽  
M. De Maggio ◽  
F. Grippa ◽  
S. Totaro

This research aims to apply models extracted from the many-body quantum mechanics to describe social dynamics. It is intended to draw macroscopic characteristics of organizational communities starting from the analysis of microscopic interactions with respect to the node model. In this chapter, the authors intend to give an answer to the following question: which models of the quantum physics are suitable to represent the behaviour and the evolution of business processes? The innovative aspects of the project are related to the application of models and methods of the quantum mechanics to social systems. In order to validate the proposed mathematical model, the authors intend to define an open-source platform able to model nodes and interactions within a network, to visualize the macroscopic results through a digital representation of the social networks.


Author(s):  
Shalin Hai-Jew

Workplace teams are a common social structure that enables the successful completion of collaborative projects. They have been studied as “hot” teams, virtual ones, and other manifestations. For both management and team members, it is helpful to have a form of meta-cognition on teams to solve work team issues pre-, during-, and post-project. One way to systematize understandings of a work team is to apply social network analysis to depict the work team’s power structure, its functions, and ways to improve the team’s communications for productivity, creativity, and effective functioning. This chapter depicts three real-world team-based projects as social network diagrams along with some light analysis. This work finds that social network diagrams may effectively shed light on the social dynamics of projects in the pre-, during-, and post-project phases.


Author(s):  
Ying Yang ◽  
Chengyang Zhang ◽  
Huaixin Cao

The many-body problem in quantum physics originates from the difficulty of describing the non-trivial correlations encoded in the exponential complexity of the many-body wave function. Motivated by the Giuseppe Carleo's work titled solving the quantum many-body problem with artificial neural networks [Science, 2017, 355: 602], we focus on finding the NNQS approximation of the unknown ground state of a given Hamiltonian $H$ in terms of the best relative error and explore the influences of sum, tensor product, local unitary of Hamiltonians on the best relative error. Besides, we illustrate our method with some examples.


2010 ◽  
Vol 24 (08) ◽  
pp. 835-935 ◽  
Author(s):  
A. L. KUZEMSKY

In the present interdisciplinary review, we focus on the applications of the symmetry principles to quantum and statistical physics in connection with some other branches of science. The profound and innovative idea of quasiaverages formulated by N. N. Bogoliubov, gives the so-called macro-objectivation of the degeneracy in the domain of quantum statistical mechanics, quantum field theory and quantum physics in general. We discuss the complementary unifying ideas of modern physics, namely: spontaneous symmetry breaking, quantum protectorate and emergence. The interrelation of the concepts of symmetry breaking, quasiaverages and quantum protectorate was analyzed in the context of quantum theory and statistical physics. The chief purposes of this paper were to demonstrate the connection and interrelation of these conceptual advances of the many-body physics and to try to show explicitly that those concepts, though different in details, have certain common features. Several problems in the field of statistical physics of complex materials and systems (e.g., the chirality of molecules) and the foundations of the microscopic theory of magnetism and superconductivity were discussed in relation to these ideas.


2021 ◽  
Vol 8 (2) ◽  
pp. 205395172110356
Author(s):  
Coleen Carrigan ◽  
Madison W Green ◽  
Abibat Rahman-Davies

The social impacts of computer technology are often glorified in public discourse, but there is growing concern about its actual effects on society. In this article, we ask: how does “consent” as an analytical framework make visible the social dynamics and power relations in the capture, extraction, and labor of data science knowledge production? We hypothesize that a form of boundary violation in data science workplaces—gender harassment—may correlate with the ways humans’ lived experiences are extracted to produce Big Data. The concept of consent offers a useful way to draw comparisons between gender relations in data science and the means by which machines are trained to learn and reason. Inspired by how Big Tech leaders describe unsupervised machine learning, and the co-optation of “revolutionary” rhetoric they use to do so, we introduce a concept we call “techniques of invisibility.” Techniques of invisibility are the ways in which an extreme imbalance between exposure and opacity, demarcated along fault lines of power, are fabricated and maintained, closing down the possibility for bidirectional transparency in the production and applications of algorithms. Further, techniques of invisibility, which we group into two categories—epistemic injustice and the Brotherhood—include acts of subjection by powerful actors in data science designed to quell resistance to exploitative relations. These techniques may be useful in making further connections between epistemic violence, sexism, and surveillance, sussing out persistent boundary violations in data science to render the social in data science visible, and open to scrutiny and debate.


1989 ◽  
Vol 34 (11) ◽  
pp. 1046-1046
Author(s):  
No authorship indicated

1968 ◽  
Vol 111 (1) ◽  
pp. 392-416 ◽  
Author(s):  
K DIETRICH ◽  
K HARA

Asian Survey ◽  
1970 ◽  
Vol 10 (4) ◽  
pp. 336-347 ◽  
Author(s):  
Harry M. Raulet ◽  
Jogindar S. Uppal

Author(s):  
Volodymyr Reznik

The article discusses the conceptual foundations of the development of the general sociological theory of J.G.Turner. These foundations are metatheoretical ideas, basic concepts and an analytical scheme. Turner began to develop a general sociological theory with a synthesis of metatheoretical ideas of social forces and social selection. He formulated a synthetic metatheoretical statement: social forces cause selection pressures on individuals and force them to change the patterns of their social organization and create new types of sociocultural formations to survive under these pressures. Turner systematized the basic concepts of his theorizing with the allocation of micro-, meso- and macro-levels of social reality. On this basis, he substantiated a simple conceptual scheme of social dynamics. According to this scheme, the forces of macrosocial dynamics of the population, production, distribution, regulation and reproduction cause social evolution. These forces force individual and corporate actors to structurally adapt their communities in altered circumstances. Such adaptation helps to overcome or avoid the disintegration consequences of these forces. The initial stage of Turner's general theorizing is a kind of audit, modification, modernization and systematization of the conceptual apparatus of sociology. The initial results obtained became the basis for the development of his conception of the dynamics of functional selection in the social world.


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