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In cognitive psychology, chunking is a process by which small individual pieces of a set of information are bound together to create a meaningful whole later on in memory. [1] The chunks, by which the information is grouped, are meant to improve short-term retention of the material, thus bypassing the limited capacity of working memory and ...
Chunking is the process of breaking down numbers into smaller units to remember the information or data, this helps recall numbers and math facts. [64] An example of this chunking process is a telephone number; this is chunked with three digits, three digits, then four digits.
Chunking is the process of grouping pieces of information together into “chunks”. [4] This allows for the brain to collect more information at a given time by reducing it to more-specific groups. [4] With the processes of chunking, the external environment is linked to the internal cognitive processes of the brain. [4]
Another useful way to improve memorization is to use chunking, a method in which a person categorizes the information they are trying to memorize into groups. For example, a person wishing to memorize a long sequence of numbers can break the sequence up into chunks of three, allowing them to remember more of the numbers.
A short (non-inclusive) example comes from the study of Henry Molaison (H.M.): learning a simple motor task (tracing a star pattern in a mirror), which involves implicit and procedural long-term storage, is unaffected by bilateral lesioning of the hippocampal regions while other forms of long-term memory, like vocabulary learning (semantic) and ...
Later research on short-term memory and working memory revealed that memory span is not a constant even when measured in a number of chunks. The number of chunks a human can recall immediately after presentation depends on the category of chunks used (e.g., span is around seven for digits, around six for letters, and around five for words), and even on features of the chunks within a category.
Chunking is a memory strategy used to maximize the amount of information stored in short term memory in order to combine it into small, meaningful sections. By organizing objects into meaningful sections, these sections are then remembered as a unit rather than separate objects.
For example, during the learning phase of the chess simulations, the program incrementally acquires chunks and templates by scanning a large database of positions taken from master-level games. [8] This makes it possible to create networks of various sizes, and so to simulate the behaviour of players of different skill levels.