heuristic learning
71Dual process theory — In psychology, a dual process theory provides an account of how a phenomenon can occur in two different ways, or as a result of two different processes. Often, the two processes consist of an implicit (automatic), unconscious process and an… …
72Inquiry — For other uses, see Public inquiry and Enquiry character. An inquiry is any process that has the aim of augmenting knowledge, resolving doubt, or solving a problem. A theory of inquiry is an account of the various types of inquiry and a treatment …
73List of philosophy topics (D-H) — DDaDai Zhen Pierre d Ailly Jean Le Rond d Alembert John Damascene Damascius John of Damascus Peter Damian Danish philosophy Dante Alighieri Arthur Danto Arthur C. Danto Arthur Coleman Danto dao Daodejing Daoism Daoist philosophy Charles Darwin… …
74Rescorla-Wagner model — The Rescorla Wagner model is a model of classical conditioning in which the animal is theorized to learn from the discrepancy between what is expected to happen and what actually happens. This is a trial level model in which each stimulus is… …
75intelligence, human — ▪ psychology Introduction mental quality that consists of the abilities to learn from experience, adapt to new situations, understand and handle abstract concepts, and use knowledge to manipulate one (human being) s environment. Much of… …
76Computer Go — Part of a series of articles on Go (board game) Game specifics Go rules Go handicaps Go proverbs Go terms Go strategy and tactics Fuseki (whole board openings) Joseki (corner based openings) Life and death Tsumego …
77Cognitive style — or thinking style is a term used in cognitive psychology to describe the way individuals think, perceive and remember information. Cognitive style differs from cognitive ability (or level), the latter being measured by aptitude tests or so called …
78k-nearest neighbor algorithm — KNN redirects here. For other uses, see KNN (disambiguation). In pattern recognition, the k nearest neighbor algorithm (k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance… …
79K-nearest neighbor algorithm — In pattern recognition, the k nearest neighbor algorithm ( k NN) is a method for classifying objects based on closest training examples in the feature space. k NN is a type of instance based learning, or lazy learning where the function is only… …
80Consensus clustering — Clustering is the assignment of objects into groups (called clusters) so that objects from the same cluster are more similar to each other than objects from different clusters. Often similarity is assessed according to a distance measure.… …
