Literature DB >> 19362448

Goal-directed control and its antipodes.

Peter Dayan1.   

Abstract

In instrumental conditioning, there is a rather precise definition of goal-directed control, and therefore an acute boundary between it and the somewhat more amorphous category comprising its opposites. Here, we review this division in terms of the various distinctions that accompany it in the fields of reinforcement learning and cognitive architectures, considering issues such as declarative and procedural control, the effect of prior distributions over environments, the neural substrates involved, and the differing views about the relative rationality of the various forms of control. Our overall aim is to reconnect some presently far-flung relations.

Mesh:

Year:  2009        PMID: 19362448     DOI: 10.1016/j.neunet.2009.03.004

Source DB:  PubMed          Journal:  Neural Netw        ISSN: 0893-6080


  21 in total

1.  Rethinking motor learning and savings in adaptation paradigms: model-free memory for successful actions combines with internal models.

Authors:  Vincent S Huang; Adrian Haith; Pietro Mazzoni; John W Krakauer
Journal:  Neuron       Date:  2011-05-26       Impact factor: 17.173

2.  Model-based and model-free mechanisms of human motor learning.

Authors:  Adrian M Haith; John W Krakauer
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

3.  Goal-directed decision making as probabilistic inference: a computational framework and potential neural correlates.

Authors:  Alec Solway; Matthew M Botvinick
Journal:  Psychol Rev       Date:  2012-01       Impact factor: 8.934

Review 4.  Neuromodulation of reward-based learning and decision making in human aging.

Authors:  Ben Eppinger; Dorothea Hämmerer; Shu-Chen Li
Journal:  Ann N Y Acad Sci       Date:  2011-10       Impact factor: 5.691

Review 5.  How Outcome Uncertainty Mediates Attention, Learning, and Decision-Making.

Authors:  Ilya E Monosov
Journal:  Trends Neurosci       Date:  2020-07-28       Impact factor: 13.837

6.  Hierarchical control using networks trained with higher-level forward models.

Authors:  Greg Wayne; L F Abbott
Journal:  Neural Comput       Date:  2014-07-24       Impact factor: 2.026

Review 7.  Valuation of uncertain and delayed rewards in primate prefrontal cortex.

Authors:  Soyoun Kim; Jaewon Hwang; Hyojung Seo; Daeyeol Lee
Journal:  Neural Netw       Date:  2009-03-29

8.  The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executive.

Authors:  A Ross Otto; Samuel J Gershman; Arthur B Markman; Nathaniel D Daw
Journal:  Psychol Sci       Date:  2013-04-04

9.  Democratic population decisions result in robust policy-gradient learning: a parametric study with GPU simulations.

Authors:  Paul Richmond; Lars Buesing; Michele Giugliano; Eleni Vasilaki
Journal:  PLoS One       Date:  2011-05-04       Impact factor: 3.240

10.  The mixed instrumental controller: using value of information to combine habitual choice and mental simulation.

Authors:  Giovanni Pezzulo; Francesco Rigoli; Fabian Chersi
Journal:  Front Psychol       Date:  2013-03-04
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