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Motivated reasoning (motivational reasoning bias) is a cognitive and social response in which individuals, consciously or sub-consciously, allow emotion-loaded motivational biases to affect how new information is perceived. Individuals tend to favor evidence that coincides with their current beliefs and reject new information that contradicts ...
Just as a miser seeks to avoid spending money, the human mind often seeks to avoid spending cognitive effort. The cognitive miser theory is an umbrella theory of cognition that brings together previous research on heuristics and attributional biases to explain when and why people are cognitive misers. [2] [3]
In psychology and cognitive science, a memory bias is a cognitive bias that either enhances or impairs the recall of a memory (either the chances that the memory will be recalled at all, or the amount of time it takes for it to be recalled, or both), or that alters the content of a reported memory. There are many types of memory bias, including:
The Cognitive Bias Codex. A cognitive bias is a systematic pattern of deviation from norm or rationality in judgment. [1] Individuals create their own "subjective reality" from their perception of the input. An individual's construction of reality, not the objective input, may dictate their behavior in the world.
Cognitive miser – Psychological tendency of people to think and solve problems in simple ways; Continuum model of impression formation – Model in social psychology; Flipism – Practice or personal philosophy in which all decisions are made by flipping a coin; Goal orientation – Social-cognitive motivational disposition
In the early 1970s, psychologists Amos Tversky and Daniel Kahneman took a different approach, linking heuristics to cognitive biases. Their typical experimental setup consisted of a rule of logic or probability, embedded in a verbal description of a judgement problem, and demonstrated that people's intuitive judgement deviated from the rule.
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.
While the latter has been found to be more prevalent in individualistic cultures than collectivistic cultures, correspondence bias occurs across cultures, [46] [47] [48] suggesting differences between the two phrases. Further, disposition correspondent inferences made to explain the behavior of nonhuman actors (e.g., robots) do not necessarily ...