Stochastic Models of Learning
By Dirk Ifenthaler, N. Seel. 2012
376 citations recorded by the source corpus.
Subfields: Artificial Intelligence
View Paper: https://www.semanticscholar.org/paper/d5c119f99c74d24da602d2218e75c7864c1c4f4f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter S. Dayan
- Elena Katok
- Uri Simonsohn
- R. J. Dolan
- Phanish Puranam
- Glenn W. Harrison
- Yoav Shoham
- Yoshua Bengio
Citations in the corpus
- Modelling Bounded Rationality in Organizations: Progress and Prospects† (2015, background): “A more general approach to agent’s reinforcement learning is based on statistical learning models (Bush and Mosteller, 1955; Denrell and March, 2001) that explicitly consider a learning rate.”
- Learning and the Economics of Small Decisions (2013, background): “This deviation from maximization, known as " probability matching, " triggered influential studies and lively debates (see Estes, 1950, 1964; Bush & Mosteller, 1955; Suppes & Atkinson, 1960; Edwards, 1961; Siegel & Goldstein, 1959; Lee, 1970; and recent analysis in Bereby-Meyer & Erev, 1998;…”
- Disentangling the Roles of Approach, Activation and Valence in Instrumental and Pavlovian Responding (2011, background): “only rewards ([95,96]; also known as a benevolent automaton [97]), than for a rule that changes propensities for both.”