Systems science

Complex systems
Topics
Self-organization Emergence
Collective behavior Social dynamics Collective intelligence Collective action Self-organized criticality Herd mentality Phase transition Agent-based modelling Synchronization Ant colony optimization Particle swarm optimization Swarm behaviour Collective consciousness
Networks Scale-free networks Social network analysis Small-world networks Centrality Motifs Graph theory Scaling Robustness Systems biology Dynamic networks Adaptive networks
Evolution and adaptation Artificial neural network Evolutionary computation Genetic algorithms Genetic programming Artificial life Machine learning Evolutionary developmental biology Artificial intelligence Evolutionary robotics Evolvability
Pattern formation Fractals Reaction–diffusion systems Partial differential equations Dissipative structures Percolation Cellular automata Spatial ecology Self-replication Geomorphology
Systems theory and cybernetics Autopoiesis Conversation theory Entropy Feedback Goal-oriented Homeostasis Information theory Operationalization Second-order cybernetics Self-reference System dynamics Systems science Systems thinking Sensemaking Variety Theory of computation
Nonlinear dynamics Time series analysis Ordinary differential equations Phase space Attractors Population dynamics Chaos Multistability Bifurcation Coupled map lattices
Game theory Prisoner's dilemma Rational choice theory Bounded rationality Evolutionary game theory
v t e

Systems science, also referred to as systems research,^[1] or, simply, systems,^[2] is a transdisciplinary^[3] field that is concerned with understanding simple and complex systems in nature and society, which leads to the advancements of formal, natural, social, and applied attributions throughout engineering, technology and science, itself.

To systems scientists, the world can be understood as a system of systems.^[4] The field aims to develop transdisciplinary foundations that are applicable in a variety of areas, such as psychology, biology, medicine, communication, business, technology, computer science, engineering, and social sciences.^[5]

Themes commonly stressed in system science are (a) holistic view, (b) interaction between a system and its embedding environment, and (c) complex (often subtle) trajectories of dynamic behavior that sometimes are stable (and thus reinforcing), while at various 'boundary conditions' can become wildly unstable (and thus destructive). Concerns about Earth-scale biosphere/geosphere dynamics is an example of the nature of problems to which systems science seeks to contribute meaningful insights.

The systems sciences are a broad array of fields. One way of conceiving of these is in three groups: fields that have developed systems ideas primarily through theory; those that have done so primarily through practical engagements with problem situations; and those that have applied ideas for other disciplines.^[6]

• Affect control theory
• Control engineering
• Control systems

• Autopoiesis
• Conversation Theory
• Engineering Cybernetics
• Perceptual Control Theory
• Management Cybernetics
• Second-Order Cybernetics
• Cyber-Physical Systems
• Artificial Intelligence
• Synthetic Intelligence

• Systems theory in anthropology
• Biochemical systems theory
• Ecological systems theory
• Developmental systems theory
• General systems theory
• Living systems theory
• LTI system theory
• Social systems
• Sociotechnical systems theory
• Mathematical system theory
• World-systems theory

The soft systems methodology was developed in England by academics at the University of Lancaster Systems Department through a ten-year action research programme. The main contributor is Peter Checkland (born 18 December 1930, in Birmingham, UK), a British management scientist and emeritus professor of systems at Lancaster University.

Systems analysis branch of systems science that analyzes systems, the interactions within those systems, or interaction with its environment,^[7] often prior to their automation as computer models. Systems analysis is closely associated with the RAND corporation.

Systemic design integrates methodologies from systems thinking with advanced design practices to address complex, multi-stakeholder situations.

System dynamics is an approach to understanding the behavior of complex systems over time. It offers "simulation technique for modeling business and social systems",^[8] which deals with internal feedback loops and time delays that affect the behavior of the entire system. What makes using system dynamics different from other approaches to studying complex systems is the use of feedback loops and stocks and flows.

Systems engineering (SE) is an interdisciplinary field of engineering, that focuses on the development and organization of complex systems. It is the "art and science of creating whole solutions to complex problems",^[9] for example: signal processing systems, control systems and communication system, or other forms of high-level modelling and design in specific fields of engineering. Systems Science is foundational to the Embedded Software Development that is founded in the embedded requirements of Systems Engineering.

• Aerospace systems
• Biological systems engineering
• Earth systems engineering and management
• Electronic systems
• Enterprise systems engineering
• Software systems
• Systems analysis

• Climate systems
• Systems geology

• Computational systems biology
• Synthetic biology
• Systems immunology
• Systems neuroscience

• Ecosystem ecology
• Agroecology

• Ergonomics
• Family systems theory
• Systemic therapy

• B. A. Bayraktar, Education in Systems Science, 1979, 369 pp.
• Kenneth D. Bailey, "Fifty Years of Systems Science:Further Reflections", Systems Research and Behavioral Science, 22, 2005, pp. 355–361. doi:10.1002/sres.711
• Robert L. Flood, Ewart R Carson, Dealing with Complexity: An Introduction to the Theory and Application of Systems Science (2nd Edition), 1993.
• George J. Klir, Facets of Systems Science (2nd Edition), Kluwer Academic/Plenum Publishers, 2001.
• Ervin László, Systems Science and World Order: Selected Studies, 1983.
• G. E. Mobus & M. C. Kalton, Principles of Systems Science, 2015, New York:Springer.
• Anatol Rapoport (ed.), General Systems: Yearbook of the Society for the Advancement of General Systems Theory, Society for General Systems Research, Vol 1., 1956.
• Li D. Xu, "The contributions of Systems Science to Information Systems Research", Systems Research and Behavioral Science, 17, 2000, pp. 105–116.
• Graeme Donald Snooks, "A general theory of complex living systems: Exploring the demand side of dynamics", Complexity, vol. 13, no. 6, July/August 2008.
• John N. Warfield, "A proposal for Systems Science", Systems Research and Behavioral Science, 20, 2003, pp. 507–520. doi:10.1002/sres.528
• Michael C. Jackson, Critical Systems Thinking and the Management of Complexity, 2019 , Wiley.

• Principia Cybernetica Web
• Institute of System Science Knowledge (ISSK.org)
• International Society for the System Sciences
• American Society for Cybernetics
• UK Systems Society
• Cybernetics Society