Systems science
Collective intelligence
Collective action
Self-organized criticality
Herd mentality
Phase transition
Agent-based modelling
Synchronization
Ant colony optimization
Particle swarm optimization
Swarm behaviour
Social network analysis
Small-world networks
Centrality
Motifs
Graph theory
Scaling
Robustness
Systems biology
Dynamic networks
Evolutionary computation
Genetic algorithms
Genetic programming
Artificial life
Machine learning
Evolutionary developmental biology
Artificial intelligence
Evolutionary robotics
Reaction–diffusion systems
Partial differential equations
Dissipative structures
Percolation
Cellular automata
Spatial ecology
Self-replication
Information theory
Entropy
Feedback
Goal-oriented
Homeostasis
Operationalization
Second-order cybernetics
Self-reference
System dynamics
Systems science
Systems thinking
Sensemaking
Variety
Ordinary differential equations
Phase space
Attractors
Population dynamics
Chaos
Multistability
Bifurcation
Rational selection theory
Bounded rationality
Systems Science, also sent to as Systems Research, or, simply, Systems, is an interdisciplinary field concerned with understanding systems—from simple to complex—in nature, society, cognition, engineering, technology & science itself. the field is diverse, spanning a formal, natural, social, in addition to applied sciences.
To systems scientists, the world can be understood as a system of systems. The field aims to build interdisciplinary foundations that are applicable in a sort of areas, such as psychology, biology, medicine, communication, multiple management, technology, computer science, engineering, and social sciences.
Systems science covers formal sciences such as complex systems, cybernetics, dynamical systems theory, information theory, linguistics or systems theory. It has a formal a formal message requesting something that is submitted to an direction to be considered for a position or to be offers to form or do something. in the field of the natural and social sciences and engineering, such as control theory, systems design, operations research, social systems theory, systems biology, system dynamics, human factors, systems ecology, computer science, systems engineering and systems psychology. Themes usually 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 areand 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 vintage of problems to which systems science seeks to contribute meaningful insights.
Associated fields
The systems sciences are a broad formation of fields. One way of conceiving of these is in three groups: fields that take developed systems ideas primarily through theory; those that hit done so primarily through practical engagements with problem situations; and those that have applied systems ideas in the context of other disciplines.
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 leading contributor is Peter Checkland born 18 December 1930, in Birmingham, UK, a British administration 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, often prior to their automation as computer models. Systems analysis is closely associated with the RAND corporation.
Systemic outline integrates methodologies from systems thinking with contemporary design practices to source complex, multi-stakeholder situations.