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  2. Robotic paradigm - Wikipedia

    en.wikipedia.org/wiki/Robotic_paradigm

    In robotics, a robotic paradigm is a mental model of how a robot operates. A robotic paradigm can be described by the relationship between the three basic elements of robotics: Sensing, Planning, and Acting. It can also be described by how sensory data is processed and distributed through the system, and where decisions are made.

  3. Algorithmic paradigm - Wikipedia

    en.wikipedia.org/wiki/Algorithmic_paradigm

    An algorithmic paradigm or algorithm design paradigm is a generic model or framework which underlies the design of a class of algorithms. An algorithmic paradigm is an abstraction higher than the notion of an algorithm, just as an algorithm is an abstraction higher than a computer program. [1] [2]

  4. Model of computation - Wikipedia

    en.wikipedia.org/wiki/Model_of_computation

    A model describes how units of computations, memories, and communications are organized. [1] The computational complexity of an algorithm can be measured given a model of computation. Using a model allows studying the performance of algorithms independently of the variations that are specific to particular implementations and specific technology.

  5. Programming paradigm - Wikipedia

    en.wikipedia.org/wiki/Programming_paradigm

    Programming paradigms can also be compared with programming models, which allows invoking an execution model by using only an API. Programming models can also be classified into paradigms based on features of the execution model. For parallel computing, using a programming model instead of a language is common. The reason is that details of the ...

  6. Supervised learning - Wikipedia

    en.wikipedia.org/wiki/Supervised_learning

    In supervised learning, the training data is labeled with the expected answers, while in unsupervised learning, the model identifies patterns or structures in unlabeled data. Supervised learning ( SL ) is a paradigm in machine learning where input objects (for example, a vector of predictor variables) and a desired output value (also known as a ...

  7. Comparison of multi-paradigm programming languages - Wikipedia

    en.wikipedia.org/wiki/Comparison_of_multi...

    Dataflow programming – forced recalculation of formulas when data values change (e.g. spreadsheets) Declarative programming – describes what computation should perform, without specifying detailed state changes c.f. imperative programming (functional and logic programming are major subgroups of declarative programming)

  8. Dataflow programming - Wikipedia

    en.wikipedia.org/wiki/Dataflow_programming

    Where a sequential program can be imagined as a single worker moving between tasks (operations), a dataflow program is more like a series of workers on an assembly line, each doing a specific task whenever materials are available. Since the operations are only concerned with the availability of data inputs, they have no hidden state to track ...

  9. Paradigm - Wikipedia

    en.wikipedia.org/wiki/Paradigm

    Paradigm shifts tend to appear in response to the accumulation of critical anomalies as well as in the form of the proposal of a new theory with the power to encompass both older relevant data and explain relevant anomalies. New paradigms tend to be most dramatic in sciences that appear to be stable and mature, as in physics at the end of the ...

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