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A heuristic device is used when an entity X exists to enable understanding of, or knowledge concerning, some other entity Y. A good example is a model that, as it is never identical with what it models, is a heuristic device to enable understanding of what it models. Stories, metaphors, etc., can also be termed heuristic in this sense.
Heuristics (from Ancient Greek εὑρίσκω, heurískō, "I find, discover") is the process by which humans use mental shortcuts to arrive at decisions. 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.
In mathematical optimization and computer science, heuristic (from Greek εὑρίσκω "I find, discover" [1]) is a technique designed for problem solving more quickly when classic methods are too slow for finding an exact or approximate solution, or when classic methods fail to find any exact solution in a search space.
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A heuristic is a kind of method for solving a problem. Heuristic may also refer to: Heuristic (computer science), a problem-solving technique that produces approximately correct solutions; Heuristic (engineering), an experience-based method reducing use of calculations; Heuristic (psychology), a mental shortcut used to make decisions efficiently
Neuroheuristics defines a scientific paradigm aimed to develop strategies that can be enabled to understand brain and mind following subsequent problems emerging from transdisciplinary studies including philosophy, psychology, neuroscience, pharmacology, physics, artificial intelligence, engineering, computer science, economics and mathematics.
The recognition heuristic, originally termed the recognition principle, has been used as a model in the psychology of judgment and decision making and as a heuristic in artificial intelligence. The goal is to make inferences about a criterion that is not directly accessible to the decision maker, based on recognition retrieved from memory.