A Swarm Optimizer Based on Multi-Criterion Decision Making, part I: Theoretical investigation

2006 ◽  
Author(s):  
A. El-gallad ◽  
M. El-hawary
Keyword(s):  
Decision Making ◽  
Theoretical Investigation

scholarly journals Management of Corporate Training and Decision-Making about Training

2021 ◽  
Vol 18 (2) ◽  
pp. 124-133
Author(s):  
Ya. Yu. Pavlov ◽  
I. K. Evseeva ◽  
I. L. Kazakova
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Theoretical Investigation ◽  
Web Of Science ◽  
Corporate Training ◽  
Academic Research ◽  
Training Model ◽  
International Database ◽  
Study Methods ◽  
Training Organization

The article studies corporate training in general as a line in research and a concrete issue about the degree of investigation of the issue of decision-making in this sphere of activity. The issue of decision-making is fundamental for management of corporate training, as training model depends on this mechanism. In previous studies this issue was touched upon only indirectly. To study this problem deeply it is necessary to understand the topical level of research on mentioned-above direction. The goal of the article is to study methods used in this sphere and current condition of this field of academic research. In order to attain the goals of the research descriptive literature review of sources from the international database Web of Science was carried out focusing on studying methodology and level of theoretical investigation. As a result the article identified several key trends in studying corporate training and revealed predominance of quantitative works even in conditions of insufficient theoretical investigation. Works being analyzed more often used concepts of training organization by K. Watkins and V. Marsic and the model of digital maturity by A. Back and S. Berhause.

Discarding optimality: Throwing out the baby with the bathwater?

2018 ◽  
Vol 41 ◽  
Author(s):  
Patrick Simen ◽  
Fuat Balcı
Keyword(s):  
Decision Making ◽  
Perceptual Decision Making ◽  
Reward Rate ◽  
Perceptual Decision ◽  
Standard Observer ◽  
Rate Maximization ◽  
Reward Rate Maximization ◽  
Descriptive Standard ◽  
Observer Model

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.

LPCD framework: Analytical tool or psychological model?

2018 ◽  
Vol 41 ◽  
Author(s):  
David Danks
Keyword(s):  
Decision Making ◽  
Analytical Tool ◽  
Mathematical Framework ◽  
Bayesian Decision ◽  
Perceptual Decision Making ◽  
Psychological Model ◽  
Psychological Reality ◽  
Psychological Theories ◽  
Target Article ◽  
Bayesian Decision Making

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.

Elaborating the role of reflection and individual differences in the study of folk-economic beliefs

2018 ◽  
Vol 41 ◽  
Author(s):  
Kevin Arceneaux
Keyword(s):  
Decision Making ◽  
Individual Differences ◽  
Cognitive Processes ◽  
Evolutionary History ◽  
Behavioral Responses ◽  
History Of ◽  
Economic Beliefs

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.

The primacy of conscious decision making – ERRATUM

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

The primacy of conscious decision making – RETRACTION

2014 ◽  
Vol 38 (01) ◽  
pp. 48
Author(s):  
David R. Shanks ◽  
Ben R. Newell
Keyword(s):  
Decision Making ◽  
Conscious Decision

Abstraction: An alternative neurocognitive account of recognition, prediction, and decision making

2020 ◽  
Vol 43 ◽  
Author(s):  
Valerie F. Reyna ◽  
David A. Broniatowski
Keyword(s):  
Decision Making ◽  
Software Engineering ◽  
Systems Engineering ◽  
Evidence Based ◽  
Extensive Literature ◽  
Trace Theory ◽  
Fuzzy Trace Theory ◽  
Abstract Representations ◽  
Technical Systems

Abstract Gilead et al. offer a thoughtful and much-needed treatment of abstraction. However, it fails to build on an extensive literature on abstraction, representational diversity, neurocognition, and psychopathology that provides important constraints and alternative evidence-based conceptions. We draw on conceptions in software engineering, socio-technical systems engineering, and a neurocognitive theory with abstract representations of gist at its core, fuzzy-trace theory.

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