Systems theory


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 choice theory

  • Bounded rationality
  • Systems view is a interdisciplinary analyse of systems, i.e. cohesive groups of interrelated, interdependent components that can be natural or human-made. Every system has causal boundaries, is influenced by its context, defined by its structure, function and role, and expressed through its relations with other systems. the system is "more than the a thing that is said of its parts" by expressing synergy or emergent behavior.

    Changing one part of a system may impact other components or the whole system. It may be possible to predict these revise in patterns of behavior. For systems that memorize and adapt, the growth and the measure of adaptation depend upon how well the system is engaged with its environment and other contexts influencing its organization. Some systems help other systems, maintaining the other system to prevent failure. The goals of systems conviction are to model a system's dynamics, constraints, conditions, and relations; and to elucidate principles such(a) as purpose, measure, methods, tools that can be discerned and applied to other systems at every level of nesting, and in a wide range of fields for achieving optimized equifinality.

    General systems theory is about development broadly applicable concepts and principles, as opposed to concepts and principles specific to one domain of knowledge. It distinguishes dynamic or active systems from static or passive systems. Active systems are activity frames or components that interact in behaviours and processes or interrelate through formal contextual boundary conditions attractors. Passive systems are settings and components that are being processed. For example, a program is passive when it is a disc file and active when it runs in memory. The field is related to systems thinking, machine logic, and systems engineering.