Recall of Random and Non Random Chess Positions in Strong and Weak Chess Players
نویسندگان
چکیده
منابع مشابه
Recall of random and distorted chess positions: implications for the theory of expertise.
This paper explores the question, important to the theory of expert performance, of the nature and number of chunks that chess experts hold in memory. It examines how memory contents determine players' abilities to reconstruct (1) positions from games, (2) positions distorted in various ways, and (3) random positions. Comparison of a computer simulation with a human experiment supports the usua...
متن کاملRecall of rapidly presented random chess positions is a function of skill.
A widely cited result asserts that experts' superiority over novices in recalling meaningful material from their domain of expertise vanishes when they are confronted with random material. A review of recent chess experiments in which random positions served as control material (presentation time between 3 and 10 sec) shows, however, that strong players generally maintain some superiority over ...
متن کاملRecall of Briefly Presented Chess Positions and Its Relation to Chess Skill
Individual differences in memory performance in a domain of expertise have traditionally been accounted for by previously acquired chunks of knowledge and patterns. These accounts have been examined experimentally mainly in chess. The role of chunks (clusters of chess pieces recalled in rapid succession during recall of chess positions) and their relations to chess skill are, however, under deb...
متن کاملAuditory memory function in expert chess players
Background: Chess is a game that involves many aspects of high level cognition such as memory, attention, focus and problem solving. Long term practice of chess can improve cognition performances and behavioral skills. Auditory memory, as a kind of memory, can be influenced by strengthening processes following long term chess playing like other behavioral skills because of common processing pat...
متن کاملClassifying Chess Positions
Chess was one of the first problems studied by the AI community. While currently, chessplaying programs perform very well using primarily search-based algorithms to decide the best move to make, in this project I apply machine-learning algorithms to this problem. Specifically, instead of choosing which move is the best to make, I want to produce an function that attempts to determine the probab...
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ژورنال
عنوان ژورنال: Psychologica Belgica
سال: 1987
ISSN: 2054-670X,0033-2879
DOI: 10.5334/pb.767