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What is Reinforcement

Handbook of Research on Applied AI for International Business and Marketing Applications
An unsupervised learning algorithm.
Published in Chapter:
Reinforcement Learning in Social Media Marketing
Patrik Eklund (Umea University, Sweden)
DOI: 10.4018/978-1-7998-5077-9.ch003
Abstract
In this chapter, the authors describe an architecture for reinforcement learning in social media marketing. The rule bases used for action selection within the architecture build upon many-valued (fuzzy) logic. Action evaluation and internal learning is based on neural network like structures. In using variables measuring the effect of advertising, we must understand direction of influence between advertiser, owning the content of the advertisement, and advertisee, as the target of an advertisement, and as facilitated by social media marketing. Examples are drawn from Facebook marketing.
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More Results
Active Learning Online
Reinforcement is any change in an organism’s surroundings that: Occurs regularly when the organism behaves in a given way (that is, is contingent on a specific response), Is contiguous with the behavior (associated in time and space), and is associated with an increase in the probability that the response will be made or in another measure of its strength.
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Fabrication and Application of Aluminum Metal Matrix Composites
Material that enhances the strength or other mechanical properties of the composite.
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Importance of Brain Reward System in Neuromarketing
Reinforcement is a consequence applied that will strengthen an organism's future behavior whenever that behavior is preceded by a specific antecedent stimulus. Positive reinforcement and motivational behaviors are modulated by the mesolimbic dopaminergic system.
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Distinctive Leadership: Moral Identity as Self Identity
According to behavioral psychology it is a consequence that will strengthen an individual’s future behavior whenever that behavior is preceded by a specific antecedent stimulus.
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