scholarly journals A neural integrator model for planning and value-based decision making of a robotics assistant

Author(s):  
Weronika Wojtak ◽  
Flora Ferreira ◽  
Paulo Vicente ◽  
Luís Louro ◽  
Estela Bicho ◽  
...  
2019 ◽  
Vol 125 ◽  
pp. 45-54 ◽  
Author(s):  
Alexey Sedov ◽  
Svetlana Usova ◽  
Ulia Semenova ◽  
Anna Gamaleya ◽  
Alexey Tomskiy ◽  
...  

PLoS ONE ◽  
2013 ◽  
Vol 8 (3) ◽  
pp. e59670 ◽  
Author(s):  
Akinori Mitani ◽  
Ryo Sasaki ◽  
Masafumi Oizumi ◽  
Takanori Uka

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı

AbstractRahnev & Denison (R&D) argue against normative theories and in favor of a more descriptive “standard observer model” of perceptual decision making. We agree with the authors in many respects, but we argue that optimality (specifically, reward-rate maximization) has proved demonstrably useful as a hypothesis, contrary to the authors’ claims.


2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks

AbstractThe target article uses a mathematical framework derived from Bayesian decision making to demonstrate suboptimal decision making but then attributes psychological reality to the framework components. Rahnev & Denison's (R&D) positive proposal thus risks ignoring plausible psychological theories that could implement complex perceptual decision making. We must be careful not to slide from success with an analytical tool to the reality of the tool components.


2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux

AbstractIntuitions guide decision-making, and looking to the evolutionary history of humans illuminates why some behavioral responses are more intuitive than others. Yet a place remains for cognitive processes to second-guess intuitive responses – that is, to be reflective – and individual differences abound in automatic, intuitive processing as well.


2014 ◽  
Vol 38 (01) ◽  
pp. 46
Author(s):  
David R. Shanks ◽  
Ben R. Newell

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