Self-organization of social systems
Abstract
The scientific objective of this research plan is to supplement the Evolutionary Game Theory with criticality. This is done first at a merely biological level and then at the anthropological level. The spontaneous transition of a complex system, either biological or sociological, to criticality is connected to the emergence of cognition [1], thereby involving also the psychological level. The theory of self-organization used in this research plan, called Self-Organized Temporal Criticality SOTC, generates crucial events, namely, temporary changes of flying directions. The time distance between two consecutive crucial events is a waiting time distribution density with an inverse power law structure. The inverse power index defines the complexity of the system under study. These events transport information from one self-organized network to another, with the same complexity. This is the principle of Complexity Matching that will be used in this research to explore the Psychological level. This principle will be used to model the transition from the Biological to the Anthropological level. Biological level. The biological level will be explored moving in two directions. With the first direction we shall study the physics of interacting atoms and the molecular dynamics of biological cells, for the main purpose of overcoming the limits of traditional out of equilibrium processes. This is necessary to establish a bridge between physics and biology, accounting for the success of evolutionary game theory with the study of enzyme chemistry. Through the second direction we shall assign to the units playing a game with the other units of the system, the capability of changing their degree of social attention according to their payoffs. Anthropological level To explore this level, SOTC has to be theoretically extended so as to take into account the sacred values originated by anthropological evolution. This evolutionary process is expected to exert a top-down influence on the individuals with the possible effect of forcing the sociological system to depart from the healthy condition. The transition from the biological to the anthropologic level will be made by supplementing SOTC with suitable information drawn from the latest developments in anthropology. Psychological level This level will be explored by using the concept of group mind: The Jung collective unconscious is interpreted as a network of interacting brains generating a collective intelligence, in accordance with SOTC, transmitted to the single individuals thanks to complexity matching. The concept of group mind will be used to extend SOTC from the biological to the anthropological level. Methods adopted Molecular dynamics We plan to supplement the current theories of out of equilibrium systems with self-organization generating criticality. The protein-water dynamics as a system at criticality will be proved to overcome the limits established by the current transition-state theory. Analysis of neurophysiological and sociological data This will be done with a technique of statistical analysis, called Diffusion Entropy Analysis (DEA) [2]. A healthy physiological or sociological system is characterized by crucial events that make it sensitive to external stimuli and at same time able to adapt itself to a changing environment. A neurophysiological process of a human body affected by a disease of increasing severity leave the criticality region and moves to a sub-critical condition. This analysis will be done either on data available in internet or on data of professional neurophysiologists and social scientists, cooperating with the PI of this proposal on the theme of variability as a sign of healthy condition. References [1] P. Grigolini, ``Cognition: from Psychology to Sociology and BackÓ, Ann. Soc. Sci. Manag. Study, 2, 55594 (2019). [2] G. Culbreth, B. J. West, P. Grigolini, ``Entropic Approach to the Detection of Crucial EventsÓ, Entropy, 21, 178 (2019).
Document Details
- Document Type
- DoD Grant Award
- Publication Date
- Mar 18, 2019
- Source ID
- W911NF1910104
Entities
People
- Paolo Grigolini
Organizations
- Army Contracting Command
- United States Army
- University of North Texas