heuristic learning
11heuristic method — method of discovery, method of learning in which the student discovers knowledge for himself rather than through direct instruction from a teacher …
12heuristic — UK [hjʊəˈrɪstɪk] / US [hjuˈrɪstɪk] adjective relating to a method of teaching or learning in which you learn from your own discoveries and experiences …
13heuristic — a. revealing; leading to discovery; using trial and error to arrive at a solution; n. such argument or process. ♦ heuristics, n. in computing, process by which a program improves its performance by learning from its own experience …
14Hyper-heuristic — A hyper heuristic is a heuristic search method that seeks to automate, often by the incorporation of machine learning techniques, the process of selecting, combining, generating or adapting several simpler heuristics (or components of such… …
15Similarity heuristic — The similarity heuristic is a lesser known psychological heuristic pertaining to how people make judgments based on similarity. More specifically, the similarity heuristic is used to account for how people make judgments based on the similarity… …
16Admissible heuristic — In computer science, specifically in algorithms related to Pathfinding, a heuristic function is said to be admissible if it is no more than the lowest cost path to the goal. In other words, a heuristic is admissible if it never overestimates the… …
17Recognition heuristic — The recognition heuristic has been used as a model in the psychology of judgment and decision making and as a heuristic in artificial intelligence. It states: [Goldstein, D. G., Gigerenzer, G. (2002). Models of ecological rationality: The… …
18Concept learning — Concept learning, also known as category learning, concept attainment, and concept formation, is largely based on the works of the cognitive psychologist Jerome Bruner. Bruner, Goodnow, Austin (1967) defined concept attainment (or concept… …
19Meta learning (computer science) — This article is about meta learning in computer science. For meta learning in social psychology, see Meta learning. Meta learning is a subfield of Machine learning where automatic learning algorithms are applied on meta data about machine… …
20Reinforcement learning — Inspired by related psychological theory, in computer science, reinforcement learning is a sub area of machine learning concerned with how an agent ought to take actions in an environment so as to maximize some notion of long term reward .… …
