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Complexity characterises the behaviour of a system or model whose components interact in multiple ways and follow local rules, leading to non-linearity, randomness, collective dynamics, hierarchy, and emergence.
Social dynamics is the study of the behavior of groups and of the interactions of individual group members, aiming to understand the emergence of complex social behaviors among microorganisms, plants and animals, including humans. It is related to sociobiology but also draws from physics and complex system sciences. In the last century, sociodynamics was viewed as part of psychology, as shown in the work: "Sociodynamics: an integrative theorem of power, authority, interfluence and love". In the 1990s, social dynamics began being viewed as a separate scientific discipline[By whom?]. An important paper in this respect is: "The Laws of Sociodynamics". Then, starting in the 2000s, sociodynamics took off as a discipline of its own, many papers were released in the field in this decade.
A complex system is a system composed of many components which may interact with each other. Examples of complex systems are Earth's global climate, organisms, the human brain, infrastructure such as power grid, transportation or communication systems, complex software and electronic systems, social and economic organizations, an ecosystem, a living cell, and ultimately the entire universe.
The edge of chaos is a transition space between order and disorder that is hypothesized to exist within a wide variety of systems. This transition zone is a region of bounded instability that engenders a constant dynamic interplay between order and disorder.
The Santa Fe Institute (SFI) is an independent, nonprofit theoretical research institute located in Santa Fe, New Mexico, United States and dedicated to the multidisciplinary study of the fundamental principles of complex adaptive systems, including physical, computational, biological, and social systems. The institute is ranked 24th among the world's "Top Science and Technology Think Tanks" and 24th among the world's "Best Transdisciplinary Research Think Tanks" according to the 2020 edition of the Global Go To Think Tank Index Reports, published annually by the University of Pennsylvania.
NetLogo is a programming language and integrated development environment (IDE) for agent-based modeling.
Systems Science, also referred to as systems research, or, simply, systems, is a transdisciplinary mathematical field that is concerned with understanding simple and complex systems in nature and society, for which leads to the advancements of formal, natural, social, and applied attributions throughout engineering, technology and science, itself. Most importantly, Systems Science is foundational to the Embedded Software Development that is founded in the embedded requirements of Systems Engineering.
In sociology, social complexity is a conceptual framework used in the analysis of society. In the sciences, contemporary definitions of complexity are found in systems theory, wherein the phenomenon being studied has many parts and many possible arrangements of the parts; simultaneously, what is complex and what is simple are relative and change in time.
Computational sociology is a branch of sociology that uses computationally intensive methods to analyze and model social phenomena. Using computer simulations, artificial intelligence, complex statistical methods, and analytic approaches like social network analysis, computational sociology develops and tests theories of complex social processes through bottom-up modeling of social interactions.
An agent-based model (ABM) is a computational model for simulating the actions and interactions of autonomous agents in order to understand the behavior of a system and what governs its outcomes. It combines elements of game theory, complex systems, emergence, computational sociology, multi-agent systems, and evolutionary programming. Monte Carlo methods are used to understand the stochasticity of these models. Particularly within ecology, ABMs are also called individual-based models (IBMs). A review of recent literature on individual-based models, agent-based models, and multiagent systems shows that ABMs are used in many scientific domains including biology, ecology and social science. Agent-based modeling is related to, but distinct from, the concept of multi-agent systems or multi-agent simulation in that the goal of ABM is to search for explanatory insight into the collective behavior of agents obeying simple rules, typically in natural systems, rather than in designing agents or solving specific practical or engineering problems.
Terrence Joseph Sejnowski is the Francis Crick Professor at the Salk Institute for Biological Studies where he directs the Computational Neurobiology Laboratory and is the director of the Crick-Jacobs center for theoretical and computational biology. He has performed pioneering research in neural networks and computational neuroscience.
A complex adaptive system is a system that is complex in that it is a dynamic network of interactions, but the behavior of the ensemble may not be predictable according to the behavior of the components. It is adaptive in that the individual and collective behavior mutate and self-organize corresponding to the change-initiating micro-event or collection of events. It is a "complex macroscopic collection" of relatively "similar and partially connected micro-structures" formed in order to adapt to the changing environment and increase their survivability as a macro-structure. The Complex Adaptive Systems approach builds on replicator dynamics.
Problem solving is the process of achieving a goal by overcoming obstacles, a frequent part of most activities. Problems in need of solutions range from simple personal tasks to complex issues in business and technical fields. The former is an example of simple problem solving (SPS) addressing one issue, whereas the latter is complex problem solving (CPS) with multiple interrelated obstacles. Another classification of problem-solving tasks is into well-defined problems with specific obstacles and goals, and ill-defined problems in which the current situation is troublesome but it is not clear what kind of resolution to aim for. Similarly, one may distinguish formal or fact-based problems requiring psychometric intelligence, versus socio-emotional problems which depend on the changeable emotions of individuals or groups, such as tactful behavior, fashion, or gift choices.
In theoretical computer science, a computational problem is a problem that may be solved by an algorithm. For example, the problem of factoring
Charles B. Perrow was an emeritus professor of sociology at Yale University and visiting professor at Stanford University. He authored several books and many articles on organizations, and was primarily concerned with the impact of large organizations on society.
Michael Cohen was the William D. Hamilton Collegiate Professor of Complex Systems, Information and Public Policy at the University of Michigan.
Joshua Morris Epstein is Professor of Epidemiology at the New York University College of Global Public Health. Formerly Professor of Emergency Medicine at Johns Hopkins University, with joint appointments in the departments of Applied Mathematics, Economics, Biostatistics, International Health, and Environmental Health Sciences and the Director of the JHU Center for Advanced Modeling in the Social, Behavioral, and Health Sciences. He is an External Professor at the Santa Fe Institute, a member of the New York Academy of Sciences, and a member of the Institute of Medicine's Committee on Identifying and Prioritizing New Preventive Vaccines.
Vincent Daniel Blondel is a Belgian professor of applied mathematics and current rector of the University of Louvain (UCLouvain) and a visiting professor at the Massachusetts Institute of Technology (MIT). Blondel's research lies in the area of mathematical control theory and theoretical computer science. He is mostly known for his contributions in computational complexity in control, multi-agent coordination and complex networks.
Diane Larsen-Freeman is an American linguist. She is currently a Professor Emerita in Education and in Linguistics at the University of Michigan in Ann Arbor, Michigan. An applied linguist, known for her work in second language acquisition, English as a second or foreign language, language teaching methods, teacher education, and English grammar, she is renowned for her work on the complex/dynamic systems approach to second language development.
Critical juncture theory focuses on critical junctures, i.e., large, rapid, discontinuous changes, and the long-term causal effect or historical legacy of these changes. Critical junctures are turning points that alter the course of evolution of some entity. Critical juncture theory seeks to explain both (1) the historical origin and maintenance of social order, and (2) the occurrence of social change through sudden, big leaps.
