Results 31 to 40 of about 136,209 (296)
Disentangling choice value and choice conflict in sequential decisions under risk.
PLoS Computational Biology, 2022 Recent years have witnessed a surge of interest in understanding the neural and cognitive dynamics that drive sequential decision making in general and foraging behavior in particular.
Laura Fontanesi +2 more
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Sequential evidence accumulation in decision making [PDF]
Judgment and Decision Making, 2008 Judgments and decisions under uncertainty are frequently linked to a prior sequential search for relevant information. In such cases, the subject has to decide when to stop the search for information.
Daniel Hausmann, Damian Lage
doaj
Modeling inconsistencies in people's preferential choices with sequential sampling models [PDF]
, 2014 People are faced with hundreds of decisions every day, of which many involve choices between multi-attribute options. To study how people evaluate these options, different approaches have been suggested.
Berkowitsch, Nicolas A.J.
core +1 more source
Sequential decision making with vector outcomes [PDF]
Proceedings of the 5th conference on Innovations in theoretical computer science, 2014 We study a multi-round optimization setting in which in each round a player may select one of several actions, and each action produces an outcome vector, not observable to the player until the round ends. The final payoff for the player is computed by applying some known function f to the sum of all outcome vectors (e.g., the minimum of all ...
Yossi Azar +3 more
openaire +1 more source
The editorial on the special issue `Are sequential sampling models the future gold standard of cognitive psychology?' [PDF]
Tutorials in Quantitative Methods for Psychology, 2020 This editorial introduces the special issue dedicated to sampling models.
Yang, Cheng-Ta +2 more
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Knowledge Gradient: Capturing Value of Information in Iterative Decisions under Uncertainty
Mathematics, 2022 Many real-life problems that involve decisions under uncertainty are often sequentially repeated and can be approached iteratively. Knowledge Gradient (KG) formulates the decision-under-uncertainty problem into repeatedly estimating the value of ...
Donghun Lee
doaj +1 more source
Sequential Assessment and Decision-Making in Humans
Behaviour, 1995 Abstract In two experiments inspired by theories of sequential information-gathering tasks such as sequential mate assessment, human subjects were asked to view sequences of pictures of mythical birds, each of which varied in value according to one of three stimuli, namely tail length, band width or intensity of black and carried an ...
Sullivan, M +3 more
openaire +2 more sources
Data Generation as Sequential Decision Making
CoRR, 2015 We connect a broad class of generative models through their shared reliance on sequential decision making. Motivated by this view, we develop extensions to an existing model, and then explore the idea further in the context of data imputation -- perhaps the simplest setting in which to investigate the relation between unconditional and conditional ...
Philip Bachman, Doina Precup
openaire +3 more sources
Robustness Analysis in Sequential Statistical Decisions
Austrian Journal of Statistics, 2020 The sequential statistical decision making is considered. Performance characteristics (error probabilities and expected sample sizes) for the sequential statistical decision rules (tests) are analysed.
Alexey Kharin
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PLoS ONE, 2022 Every day, we make many value-based decisions where we weigh the value of options with other properties, e.g. their time of delivery. In the laboratory, such value-based decision-making is usually studied on a trial by trial basis and each decision is ...
Stefan Scherbaum +4 more
doaj +2 more sources