Philosophy Dictionary of ArgumentsHome | |||
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Feedback: Feedback in technology is information that is provided to a user about their actions or the performance of a system. It can be used to identify and fix problems, and optimize performance._____________Annotation: The above characterizations of concepts are neither definitions nor exhausting presentations of problems related to them. Instead, they are intended to give a short introduction to the contributions below. – Lexicon of Arguments. | |||
Author | Concept | Summary/Quotes | Sources |
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Peter Norvig on Feedback - Dictionary of Arguments
Norvig I 694 Feedback/Learning/AI Research/Norvig/Russell: In unsupervised learning the agent learns patterns in the input even though no explicit feedback is supplied. The most common unsupervised learning task is clustering: detecting Norvig I 695 potentially useful clusters of input examples. Def Reinforcement learning: In reinforcement learning the agent learns from a series of reinforcements—rewards or punishments. For example, the lack of a tip at the end of the journey gives the taxi agent an indication that it did something wrong. The two points for a win at the end of a chess game tells the agent it did something right. It is up to the agent to decide which of the actions prior to the reinforcement were most responsible for it. Def Supervised learning: In supervised learning the agent observes some example input–output pairs and learns a function that maps from input to output. >Representation/Norvig, >Knowledge/AI Research, >Supervised Learning/AI Research._____________Explanation of symbols: Roman numerals indicate the source, arabic numerals indicate the page number. The corresponding books are indicated on the right hand side. ((s)…): Comment by the sender of the contribution. Translations: Dictionary of Arguments The note [Concept/Author], [Author1]Vs[Author2] or [Author]Vs[term] resp. "problem:"/"solution:", "old:"/"new:" and "thesis:" is an addition from the Dictionary of Arguments. If a German edition is specified, the page numbers refer to this edition. |
Norvig I Peter Norvig Stuart J. Russell Artificial Intelligence: A Modern Approach Upper Saddle River, NJ 2010 |