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Jyunichi Miyakoshi

Publications and source records attributed to Jyunichi Miyakoshi.

3 recordsLinked to original sources

Cyber-human social co-operating system: Application design and implementation

Reducing wealth inequality and resource waste is a global challenge. A fundamental problem within the capitalist economy, put simply, lies in the enslavement of labor and the colonization of resources. To address these issues, movements promoting digital democracy and cooperative platforms have emerged as viable alternatives to traditional capitalist systems. From the perspective of integrating information systems with real-world social, environmental, and economic systems, Cyber-Physical Systems have been proposed for applications in Industry 5.0 and Society 5.0. One such CPS is the Social Co-OS (cyber-human social co-operating system). Social Co-OS is a co-operating system between cyber and human societies that conceptualizes the social system as a dynamic, circular structure composed of three layers: individual behavior, interindividual interaction, and institutional formation. Within this framework, the cyber system supports collective decision-making and individual cooperative behavior across these layers. The objective of this study is to define a novel application architecture based on the Social Co-OS concept, design a user interface flow, and implement it in practice. Specifically, we develop a social impact evaluator, a pluralistic policy simulator, and a consensus-building facilitator, which constitute the deliberative and political loop of Social Co-OS. Additionally, we implement a personality estimator and a behavior change promoter, which constitute the operational and administrative loop, along with a common mediator that serves as the cyber-human interface. Through these implementations, we demonstrate that Social Co-OS applications can effectively support human social systems and offer practical utility for policy co-making and co-operation, as evidenced by examples grounded in real-world challenges.

cs.HC↗

Mixbiotic society measures: Comparison of organizational structures based on communication simulation

The philosophical world has proposed the concept of "mixbiotic society," in which individuals with freedom and diverse values mix and mingle to recognize their respective "fundamental incapability" each other and sublimate into solidarity, toward solving the issues of social isolation and fragmentation. Based on this concept, the mixbiotic society measures have been proposed to evaluate dynamic communication patterns with reference to classification in cellular automata and particle reaction-diffusion that simulate living phenomena. In this paper, we applied these measures to five typologies of organizational structure (Red: impulsive, Amber: adaptive, Orange: achievement, Green: pluralistic, and Teal: evolutionary) and evaluated their features. Specifically, we formed star, tree, tree+jumpers, tree+more jumpers, and small-world type networks corresponding to each of five typologies, conducted communication simulations on these networks, and calculated values for mixbiotic society measures. The results showed that Teal organization has the highest value of the mixism measure among mixbiotic society measures, i.e., it balances similarity (mixing) and dissimilarity (mingling) in communication, and is living and mixbiotic between order and chaos. Measures other than mixism showed that in Teal organization, information is not concentrated in a central leader and that communication takes place among various members. This evaluation of organizational structures shows that the mixbiotic society measures is also useful for assessing organizational change. In the future, these measures will be used not only in business organizations, but also in digital democratic organizations and platform cooperatives in conjunction with information technology.

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Mixbiotic society measures: Assessment of community well-going as living system

Social isolation is caused by the impoverishment of community (atomism) and fragmentation is caused by the enlargement of in-group (mobism), both of which can be viewed as social problems related to communication. To solve these problems, the philosophical world has proposed the concept of "mixbiotic society," in which individuals with freedom and diverse values mix and mingle to recognize their respective "fundamental incapability" each other and sublimate into solidarity. Based on this concept, this study proposes new mixbiotic society measures to evaluate dynamic communication patterns with reference to classification in cellular automata and particle reaction diffusion that simulate living phenomena. Specifically, the hypothesis of measures corresponding to the four classes was formulated, and the hypothesis was validated by simulating the generation and disappearance of communication. As a result, considering communication patterns as multidimensional vectors, it found that the mean of Euclidean distance for "mobism," the variance of the relative change in distance for "atomism," the composite measure that multiplies the mean and variance of cosine similarity for "mixism," which corresponds to the well-going of mixbiotic society, and the almost zero measures for "nihilism," are suitable. Then, evaluating seven real-society datasets using these measures, we showed that the mixism measure is useful for assessing the livingness of communication, and that it is possible to typify communities based on plural measures. The measures established in this study are superior to conventional analysis in that they can evaluate dynamic patterns, they are simple to calculate, and their meanings are easy to interpret. As a future development, the mixbiotic society measures will be used in the fields of digital democracy and platform cooperativism toward a desirable society.

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