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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.
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.
"THE CAT" is a classic example of context effect. We have little trouble reading "H" and "A" in their appropriate contexts, even though they take on the same form in each word . A context effect is an aspect of cognitive psychology that describes the influence of environmental factors on one's perception of a stimulus. [ 1 ]
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.
Chunking may mean: Chunking (division) , an approach for doing simple mathematical division sums, by repeated subtraction Chunking (computational linguistics) , a method for parsing natural language sentences into partial syntactic structures
The spacing effect demonstrates that learning is more effective when study sessions are spaced out. This effect shows that more information is encoded into long-term memory by spaced study sessions, also known as spaced repetition or spaced presentation, than by massed presentation ("cramming").
Soar [1] is a cognitive architecture, [2] originally created by John Laird, Allen Newell, and Paul Rosenbloom at Carnegie Mellon University.. The goal of the Soar project is to develop the fixed computational building blocks necessary for general intelligent agents – agents that can perform a wide range of tasks and encode, use, and learn all types of knowledge to realize the full range of ...