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  2. Hybrid system - Wikipedia

    en.wikipedia.org/wiki/Hybrid_system

    A hybrid system is a dynamical system that exhibits both continuous and discrete dynamic behavior – a system that can both flow (described by a differential equation) and jump (described by a state machine, automaton, or a difference equation). [ 1 ] Often, the term "hybrid dynamical system" is used instead of "hybrid system", to distinguish ...

  3. Soft computing - Wikipedia

    en.wikipedia.org/wiki/Soft_computing

    Soft computing. Soft computing is an umbrella term used to describe types of algorithms that produce approximate solutions to unsolvable high-level problems in computer science. Typically, traditional hard-computing algorithms heavily rely on concrete data and mathematical models to produce solutions to problems.

  4. Genetic fuzzy systems - Wikipedia

    en.wikipedia.org/wiki/Genetic_fuzzy_systems

    e. In computer science and operations research, Genetic fuzzy systems are fuzzy systems constructed by using genetic algorithms or genetic programming, which mimic the process of natural evolution, to identify its structure and parameter. When it comes to automatically identifying and building a fuzzy system, given the high degree of ...

  5. Swarm intelligence - Wikipedia

    en.wikipedia.org/wiki/Swarm_intelligence

    A flock of starlings reacting to a predator. Swarm intelligence (SI) is the collective behavior of decentralized, self-organized systems, natural or artificial. The concept is employed in work on artificial intelligence. The expression was introduced by Gerardo Beni and Jing Wang in 1989, in the context of cellular robotic systems. [ 1 ][ 2 ]

  6. Fog computing - Wikipedia

    en.wikipedia.org/wiki/Fog_computing

    Fog computing, also called edge computing, is intended for distributed computing where numerous "peripheral" devices connect to a cloud. The word "fog" refers to its cloud-like properties, but closer to the "ground", i.e. IoT devices. [6] Many of these devices will generate voluminous raw data (e.g., from sensors), and rather than forward all ...

  7. Learning classifier system - Wikipedia

    en.wikipedia.org/wiki/Learning_classifier_system

    As a result, the term ‘learning classifier system’ was commonly defined as the combination of ‘trial-and-error’ reinforcement learning with the global search of a genetic algorithm. Interest in supervised learning applications, and even unsupervised learning have since broadened the use and definition of this term.

  8. Symmetric multiprocessing - Wikipedia

    en.wikipedia.org/wiki/Symmetric_multiprocessing

    Symmetric multiprocessing or shared-memory multiprocessing[1] (SMP) involves a multiprocessor computer hardware and software architecture where two or more identical processors are connected to a single, shared main memory, have full access to all input and output devices, and are controlled by a single operating system instance that treats all ...

  9. System integration - Wikipedia

    en.wikipedia.org/wiki/System_integration

    System integration is defined in engineering as the process of bringing together the component sub-systems into one system (an aggregation of subsystems cooperating so that the system is able to deliver the overarching functionality) and ensuring that the subsystems function together as a system, [1] and in information technology [2] as the process of linking together different computing ...