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  2. Take-the-best heuristic - Wikipedia

    en.wikipedia.org/wiki/Take-the-best_heuristic

    The task is to infer which of two alternatives has the higher criterion value. An example is which of two NBA teams will win the game, based on cues such as home match and who won the last match. The take-the-best heuristic entails three steps to make such an inference: [9] Search rule: Look through cues in the order of their validity.

  3. Heuristic - Wikipedia

    en.wikipedia.org/wiki/Heuristic

    Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).

  4. Reciprocal teaching - Wikipedia

    en.wikipedia.org/wiki/Reciprocal_teaching

    Reciprocal teaching is an amalgamation of reading strategies that effective readers are thought to use. As stated by Pilonieta and Medina in their article "Reciprocal Teaching for the Primary Grades: We Can Do It, Too!", previous research conducted by Kincade and Beach (1996 ) indicates that proficient readers use specific comprehension strategies in their reading tasks, while poor readers do ...

  5. Inference engine - Wikipedia

    en.wikipedia.org/wiki/Inference_engine

    In the field of artificial intelligence, an inference engine is a software component of an intelligent system that applies logical rules to the knowledge base to deduce new information. The first inference engines were components of expert systems. The typical expert system consisted of a knowledge base and an inference engine.

  6. Heuristic (psychology) - Wikipedia

    en.wikipedia.org/wiki/Heuristic_(psychology)

    Heuristics are simple strategies that humans, animals, [1] [2] [3] organizations, [4] and even machines [5] use to quickly form judgments, make decisions, and find solutions to complex problems. Often this involves focusing on the most relevant aspects of a problem or situation to formulate a solution.

  7. Text inferencing - Wikipedia

    en.wikipedia.org/wiki/Text_inferencing

    Text inferencing describes the tacit or active process of logical induction or deduction during reading. Inferences are used to bridge current text ideas with antecedent text ideas or ideas in the reader's store of prior world knowledge. Text inferencing is an area of study within the fields of cognitive psychology and linguistics. Much of the ...

  8. Reading comprehension - Wikipedia

    en.wikipedia.org/wiki/Reading_comprehension

    Strategies are key to help with reading comprehension. They vary according to the challenges like new concepts, unfamiliar vocabulary, long and complex sentences, etc. Trying to deal with all of these challenges at the same time may be unrealistic. Then again strategies should fit to the ability, aptitude and age level of the learner.

  9. Commonsense knowledge (artificial intelligence) - Wikipedia

    en.wikipedia.org/wiki/Commonsense_knowledge...

    Commonsense knowledge can underpin a commonsense reasoning process, to attempt inferences such as "You might bake a cake because you want people to eat the cake." A natural language processing process can be attached to the commonsense knowledge base to allow the knowledge base to attempt to answer questions about the world. [2]

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