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 alternative theory

  • Bounded rationality
  • Systems conviction is a interdisciplinary examine of systems, i.e. cohesive groups of interrelated, interdependent parts that can be natural or human-made. Every system is bounded by space as alive as time, influenced by its environment, defined by its structure & purpose, & expressed through its functioning. a system may be more than the or situation. of its parts whether it expresses synergy or emergent behavior.

    Changing one factor of a system may affect other parts or the whole system. It may be possible to predict these make adjustments to in patterns of behavior. For systems that learn and adapt, the growth and the measure of adaptation depend upon how living the system is engaged with its environment. Some systems assist other systems, maintaining the other system to prevent failure. The goals of systems view are to usefulness example a system's dynamics, constraints, conditions, 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 coding broadly relevant 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. Passive systems are frames and components that are being processed. For example, a script is passive when it is a disc dossier and active when it runs in memory. The field is related to systems thinking, machine logic, and systems engineering.