Cognitive Modeling: Research Logic in Cognitive Science

Author(s):  
G. Strube
2018 ◽  
Vol 5 (2) ◽  
pp. 247-256
Author(s):  
Paul Thagard

Why do people have conflicting views of equality concerning the distribution of income, wealth, and satisfaction of vital needs? How do people form and sometimes change their views of equality and related issues, such as gender identity? Answers to such questions can benefit from cognitive science—the interdisciplinary field that includes neuroscience and computer modeling as well as psychology. According to principles of emotional coherence, attitudes develop and change because of connections among the values attached to systems of concepts, beliefs, and goals. People attach a positive value to concepts such as equality, if the concept fits with other positive concepts such as human needs, and opposes negative concepts such as poverty. Emotional coherence balances positive and negative values to yield an overall conclusion. Computer models based on emotional coherence explain people’s differing attitudes about equality and issues such as transgender rights. They also model how people sometimes change their minds.


2013 ◽  
Vol 36 (3) ◽  
pp. 298-299 ◽  
Author(s):  
Donald Mender

AbstractPothos & Busemeyer (P&B) argue convincingly that quantum probability offers an improvement over classical Bayesian probability in modeling the empirical data of cognitive science. However, a weakness related to restrictions on the dimensionality of incompatible physical observables flows from the authors' “agnosticism” regarding quantum processes in neural substrates underlying cognition. Addressing this problem will require either future research findings validating quantum neurophysics or theoretical expansion of the uncertainty principle as a new, neurocognitively contextualized, “local” symmetry.


2019 ◽  
Author(s):  
Michael David Lee ◽  
Amy H. Criss ◽  
Berna Devezer ◽  
Chris Donkin ◽  
Alexander Etz ◽  
...  

In an attempt to increase the reliability of empirical findings, psychological scientists have recently proposed a number of changes in the practice of experimental psychology. Most current reform efforts have focused on the analysis of data and the reporting of findings for empirical studies. However, a large contingent of psychologists build models that explain psychological processes and test psychological theories using formal psychological models. Some, but not all, recommendations borne out of the broader reform movement bear upon the practice of behavioral or cognitive modeling. In this article, we consider which aspects of the current reform movement are relevant to psychological modelers, and we propose a number of techniques and practices aimed at making psychological modeling more transparent, trusted, and robust.


Author(s):  
Martin V. Butz ◽  
Esther F. Kutter

As the concluding chapter, the story of the book’s content is revisited and summarized. Essentially, our embodied minds come into being due to an evolutionary predisposed cognitive developmental process, which builds progressively more abstract, conceptual, compositional predictive encodings based on actively gathered sensorimotor experiences. The chapter also acknowledges several under-represented, but important topics in cognitive science. Finally, the matter of consciousness is addressed, emphasizing that the mind emerges from a recurrent, self-maintaining, and self-regulating system, that is, our brain–body system. Combined with developing self-referential, social, event-oriented, conceptualizing predictive encodings, self-reflective cognition becomes possible. We conclude that despite pursuing a computational approach to embodied cognitive science, cognitive models in this direction are just at their beginning. Future cognitive modeling efforts promise to shed much further light on the exact details about how our minds come into being and how we may create useful, artificial, cognitive systems in the future.


2020 ◽  
Vol 43 ◽  
Author(s):  
Charles P. Davis ◽  
Gerry T. M. Altmann ◽  
Eiling Yee

Abstract Gilead et al.'s approach to human cognition places abstraction and prediction at the heart of “mental travel” under a “representational diversity” perspective that embraces foundational concepts in cognitive science. But, it gives insufficient credit to the possibility that the process of abstraction produces a gradient, and underestimates the importance of a highly influential domain in predictive cognition: language, and related, the emergence of experientially based structure through time.


2003 ◽  
Vol 48 (6) ◽  
pp. 745-748 ◽  
Author(s):  
Michael Mahoney
Keyword(s):  

1995 ◽  
Vol 40 (9) ◽  
pp. 839-840
Author(s):  
James S. Uleman

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