Cognitive strategy

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Cognitive strategies are the specific methods that people use to solve problems and/or exploit opportunities, including all sorts of reasoning, planning, arithmetic, etc. Importantly, a cognitive strategy need not be all "in the head", but will almost always interact with various aspects of what might be called the "execution context". A specific cognitive strategy would be implemented via a set of ordered and overlapping logic. Each logical aspect of a cognitive strategy is either taught or learned and needs to be remembered as situation foreknowledge. These cognitive strategies are memorized for future utilization. They can be thought of as consciously written and remembered "programs" or as the "software" that guides future brain-neuron processing. Each logic process helps to "add up" to a specific decision and resulting action.[ citation needed ]

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Examples

A commonly used and elegant example of cognitive strategies comes from small-number addition. [1] There are numerous different ways (i.e., different strategies) by which one can get the sum of two one-digit numbers, for example 3+4 (=7). The way that most adults would solve this problem is by simply remembering the answer (a "memory" strategy), but a toddler would probably use one of a number of different finger-counting strategies. [2] For example, one can represent the first addend (3) on one's left hand by raising three fingers, and then do the same with four fingers on the right hand, and then count up the number of fingers that are raised. But there are many other ways to do this. For example, one can do the same first step (raise three fingers on one's left hand), and then start counting from 4 as one raises four more fingers one at a time on either the right hand, or even starting from the fourth finger on the left hand (which would require continuing from 6 on the right hand). Different strategies may have very different characteristics in terms of their time and space complexity, memory requirements, etc., and therefore in terms of their error characteristics.[ citation needed ]

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Related Research Articles

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Finger binary Finger-counting system

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Domain-general learning theories of development suggest that humans are born with mechanisms in the brain that exist to support and guide learning on a broad level, regardless of the type of information being learned. Domain-general learning theories also recognize that although learning different types of new information may be processed in the same way and in the same areas of the brain, different domains also function interdependently. Because these generalized domains work together, skills developed from one learned activity may translate into benefits with skills not yet learned. Another facet of domain-general learning theories is that knowledge within domains is cumulative, and builds under these domains over time to contribute to our greater knowledge structure. Psychologists whose theories align with domain-general framework include developmental psychologist Jean Piaget, who theorized that people develop a global knowledge structure which contains cohesive, whole knowledge internalized from experience, and psychologist Charles Spearman, whose work led to a theory on the existence of a single factor accounting for all general cognitive ability.

Neo-Piagetian theories of cognitive development

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Memory improvement

Memory improvement is the act of enhancing one's memory. Memory deficits, age-related memory loss, and people's want to improve their own memory have led to research on how to best help people to improve their memory. Research has also worked to determine what factors influence memory and cognition. Many different techniques to improve memory have been found, including cognitive training, psychopharmacology, diet, stress management, and exercise. Each technique has the ability to influence memory in different ways. Neuroimaging has also provided neurobiological evidence supporting holistic ways in which one can improve memory.

References

  1. Anderson, J. R. (1990) The adaptive character of thought. Mahwah, NJ: Lawrence Erlbaum Associates.
  2. Siegler, R.S., & Shipley, C. (1995). Variation, selection, and cognitive change. In T. Simon & G. Halford (Eds.), Developing cognitive competence: New approaches to process modeling (pp. 31–76). Hillsdale, NJ: Erlbaum