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  2. Computational thinking - Wikipedia

    en.wikipedia.org/wiki/Computational_thinking

    The history of computational thinking as a concept dates back at least to the 1950s but most ideas are much older. [6] [3] Computational thinking involves ideas like abstraction, data representation, and logically organizing data, which are also prevalent in other kinds of thinking, such as scientific thinking, engineering thinking, systems thinking, design thinking, model-based thinking, and ...

  3. Teachers are using AI to grade essays. But some experts are ...

    www.aol.com/teachers-using-ai-grade-essays...

    Teachers are turning to AI tools and platforms — such as ChatGPT, Writable, Grammarly and EssayGrader — to assist with grading papers, writing feedback, developing lesson plans and creating ...

  4. Hierarchical task network - Wikipedia

    en.wikipedia.org/wiki/Hierarchical_task_network

    In artificial intelligence, hierarchical task network (HTN) planning is an approach to automated planning in which the dependency among actions can be given in the form of hierarchically structured networks. Planning problems are specified in the hierarchical task network approach by providing a set of tasks, which can be:

  5. Artificial brain - Wikipedia

    en.wikipedia.org/wiki/Artificial_brain

    A thought experiment in the philosophy of artificial intelligence, demonstrating that it is possible, at least in theory, to create a machine that has all the capabilities of a human being. A long-term project to create machines exhibiting behavior comparable to those of animals with complex central nervous system such as mammals and most ...

  6. ELIZA - Wikipedia

    en.wikipedia.org/wiki/ELIZA

    A conversation with Eliza. ELIZA is an early natural language processing computer program developed from 1964 to 1967 [1] at MIT by Joseph Weizenbaum. [2] [3] Created to explore communication between humans and machines, ELIZA simulated conversation by using a pattern matching and substitution methodology that gave users an illusion of understanding on the part of the program, but had no ...

  7. Semantic decomposition (natural language processing) - Wikipedia

    en.wikipedia.org/wiki/Semantic_decomposition...

    As an AI-complete environment, WSD is a core problem of natural language understanding. [7] [8] AI approaches that use knowledge-given reasoning creates a notion of meaning combining the state of the art knowledge of natural meaning with the symbolic and connectionist formalization of meaning for AI. The abstract approach is shown in Figure.

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