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.