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Rational Models of Cognitive Control [chapter]

Michael C. Mozer
2006 Lecture Notes in Computer Science  
But not from the perspective of processing mechanisms Tune control parameters of attention to optimize performance under the current environmental model. e.g., Itti et al. (1998); Koch & Ullman (1985);  ...  ModelSummaryTwo case studies 1. control of attention and the influence of recent stimulus displays 2. control of response initiation and the influence of recent stimulus difficulty Sequential dependencies  ... 
doi:10.1007/11839132_2 fatcat:i3c7bk6ignhqlgwqzato6fmvnm

Queueing network-adaptive control of thought rational (QN-ACTR): an integrated cognitive architecture for modelling complex cognitive and multi-task performance

Shi Cao, Yili Liu
2013 International Journal of Human Factors Modelling and Simulation  
Reference to this paper should be made as follows: Cao, S. and Liu, Y. (2013) 'Queueing network-adaptive control of thought rational (QN-ACTR): an integrated cognitive architecture for modelling complex  ...  The resulting architecture -queueing network-adaptive control of thought rational (QN-ACTR) -is an integration of the QN mathematical architecture and the ACT-R symbolic architecture.  ...  of thought-rational (ACT-R; Anderson et al., 2004) , Executive-process interactive control (EPIC; Meyer and Kieras, 1997) , Soar (Laird et al., 1987) , and Queueing network-model human processor (QN-MHP  ... 
doi:10.1504/ijhfms.2013.055790 fatcat:t4fpuuiz5zap5dlge2kwn6amyu

Computationally Rational Saccadic Control: An Explanation of Spillover Effects Based on Sampling from Noisy Perception and Memory

Michael Shvartsman, Richard Lewis, Satinder Singh
2014 Proceedings of the Fifth Workshop on Cognitive Modeling and Computational Linguistics  
We present an adaptive eye-movement control model with a minimal capacity for such processing, based on a composition of thresholded sequential samplers that integrate information from noisy perception  ...  We show that spillover in the model emerges in approximately optimal control policies that sometimes process memory rather than perception.  ...  The complete model affords computational rationality analyses because it can be used to derive the implications of saccadic control policies for task performance.  ... 
doi:10.3115/v1/w14-2001 dblp:conf/acl-cmcl/ShvartsmanLS14 fatcat:2tta6iq75fh3lgavz7smsh3mwa

"Dysrationalia" among university students: The role of cognitive abilities, different aspects of rational thought and self-control in explaining epistemically suspect beliefs

Nikola Erceg, Zvonimir Galić, Andreja Bubić
2019 Europe's Journal of Psychology  
The aim of the study was to investigate the role that cognitive abilities, rational thinking abilities, cognitive styles and self-control play in explaining the endorsement of epistemically suspect beliefs  ...  We found that different aspects of rational thought (i.e. rational thinking abilities and cognitive styles) and self-control, but not intelligence, significantly predicted the endorsement of epistemically  ...  Contrary to that, other constructs that underpin rational thought, rational thinking ability, cognitive styles and self-control, were all independent predictors of ESB.  ... 
doi:10.5964/ejop.v15i1.1696 pmid:30915179 pmcid:PMC6396694 fatcat:xa2llxcfmbe3zex6nsa4xbzgne

Non-Rational Cognitive Processes as Changes of Distinctions [chapter]

Francis Heylighen
1992 New Perspectives on Cybernetics  
Rational cognitive processes are defined as processes controlled by an external system of rules.  ...  This control is represented by the conservation of distinctions, where a distinction is conceived as an element of cognitive structuration.  ...  A rational cognitive process was defined as a process controlled by an external system of rules.  ... 
doi:10.1007/978-94-015-8062-5_5 fatcat:7tm5icruczfy7l5t6infqvjdhq

Rational Decision-Making in Inhibitory Control

Pradeep Shenoy, Angela J. Yu
2011 Frontiers in Human Neuroscience  
My lab works on projects related to a range of cognitive functions, including attention, decision-making, learning, adaptation, cognitive control, and active sensing.  ...  The modeling tools we utilize include Bayesian modeling, probability theory, decision theory, control theory, information theory, game theory, and dynamical systems analysis.  ...  A rational model for individual differences in preference choice. Proceedings of the Cognitive Science Society Conference. Ma, N & Yu, A J (2015).  ... 
doi:10.3389/fnhum.2011.00048 pmid:21647306 pmcid:PMC3103997 fatcat:w6v6qnfl3jclxipx5qdatw7n6i

Introduction to the 2004 Rumelhart Prize Special Issue Honoring John R. Anderson

2005 Cognitive Science  
Mathematical modeling of human cognitive processes, formal analysis of language and other products of human cognitive activity, and computational analyses of human cognition using symbolic or nonsymbolic  ...  Rumelhart also exploited symbolic models of human cognition, formal linguistic methods, and the formal tools of mathematics. Reflecting this diversity, the first three winners of the David E.  ...  This focus is a sign of the maturity of cognitive science. In early computational models of cognition, it was considered sufficiently impressive to model performance on one task.  ... 
doi:10.1207/s15516709cog0000_21 pmid:21702776 fatcat:xjijybaa6zghnfgh7bqkp7be2a

Rational metareasoning and the plasticity of cognitive control

Falk Lieder, Amitai Shenhav, Sebastian Musslick, Thomas L. Griffiths, Samuel J. Gershman
2018 PLoS Computational Biology  
Rational metareasoning and the plasticity of cognitive control PLOS Computational Biology | https://doi.  ...  We conclude by predicting under which circumstances these learning mechanisms might lead to self-control failure.  ...  Katarina Slama for comments on an earlier version of the manuscript and Jonathan D. Cohen for useful discussions. Author Contributions Conceptualization: Amitai Shenhav, Thomas L. Griffiths.  ... 
doi:10.1371/journal.pcbi.1006043 pmid:29694347 pmcid:PMC5937797 fatcat:nujhxzthsrecdgdunjggpxathm

Resource‐rational Models of Human Goal Pursuit

Ben Prystawski, Florian Mohnert, Mateo Tošić, Falk Lieder
2021 Topics in Cognitive Science  
Models of goal pursuit based on the principle of resource rationality capture human behavior better than both a model of optimal goal pursuit and heuristics that are not resource-rational.  ...  Our models are motivated by the principle of resource rationality and draw upon psychological insights about people's limited attention and planning capacities.  ...  Overall, the success of our resource-rational models of goal pursuit further strengthens the view that incorporating cognitive constraints into rational models of cognition is a promising approach to understanding  ... 
doi:10.1111/tops.12562 pmid:34435728 fatcat:wll2wfgyczdineubjemej4ossy

Cognitive science as a source of forward and inverse models of human decisions for robotics and control [article]

Mark K. Ho, Thomas L. Griffiths
2021 arXiv   pre-print
Here, we review some of this work, focusing on how cognitive science can provide forward models of human decision-making and inverse models of how humans think about others' decision-making.  ...  In doing so, we aim to provide readers with a glimpse of the range of frameworks, methodologies, and actionable insights that lie at the intersection of cognitive science and control research.  ...  Resource rationality offers a new set of tools for capturing human behavior with greater precision in a way that is compatible with standard modeling techniques used in robotics and control.  ... 
arXiv:2109.00127v1 fatcat:jku3n3irhraabox7biizsu2jo4

Resource-rational analysis: understanding human cognition as the optimal use of limited computational resources

Falk Lieder, Thomas L. Griffiths
2019 Behavioral and Brain Sciences  
We identify the rational use of limited resources as a unifying principle underlying these diverse approaches, expressing it in a new cognitive modeling paradigm called resource-rational analysis.  ...  The integration of rational principles with realistic cognitive constraints makes resource-rational analysis a promising framework for reverse-engineering cognitive mechanisms and representations.  ...  This section illustrates the potential of this approach with examples from modeling memory, attention, reasoning, and cognitive control. Memory.  ... 
doi:10.1017/s0140525x1900061x pmid:30714890 fatcat:syk5473scvcg3alabzq4umtbti

Page 5116 of Psychological Abstracts Vol. 81, Issue 11 [page]

1994 Psychological Abstracts  
[from the chapter] — the basic tenets of rational-emotive therapy (RET) form the foundation for a model [for dealing with divorce adjustment] > the model was designed to link pivotal antecedents with their  ...  [from the preface] — [deals] with the concept of the schema, a cornerstone of the cognitive therapy model © [proposes] that the therapist who understands Erikson’s psychosocial stage theory from a cogni  ... 

Computational Rationality as a Theory of Interaction

Antti Oulasvirta, Jussi P. P. Jokinen, Andrew Howes
2022 CHI Conference on Human Factors in Computing Systems  
The paper synthesizes advances toward an answer within the theoretical framework of computational rationality.  ...  Recently, the question has been reframed as one of adaptation: how do people adapt their interaction to the limits imposed by cognition, device design, and environment?  ...  ACKNOWLEDGMENTS This work was funded by the Finnish Center for AI and Academy of Finland ("BAD" and "Human Automata").  ... 
doi:10.1145/3491102.3517739 fatcat:vshfq2nzxngbrnpymhkprwmjkm

Adaptive Control of Thought of Human Being

Fitriani Fitriani
2022 PEEL (PASER ENGLISH EDUCATION AND LINGUISTIC)  
So the implication of neuroscience to all the activities lead to neurol branching. Key words: Cognitive theory adaptive control of thought  ...  Human brain has function to controlled by the nervous system in the brain it means that all the activities of human being is resource the functioning of the brain.  ...  Theory / model is also referred to as the ACT-super theory which states that all behaviors Cognitive control is controlled by "production rules" that determine the steps of cognition.  ... 
doi:10.56489/peel.v1i1.76 fatcat:5tvlktr7sfhr7dtihhjtl3isny

Page 1624 of Journal of Cognitive Neuroscience Vol. 20, Issue 9 [page]

2008 Journal of Cognitive Neuroscience  
An Adaptive Control of Thought—Rational (ACT-R) model {Anderson, J. R How can the human mind occur in the physical universe?  ...  We have developed a methodology that involves constructing cognitive models for the tasks in the Adaptive Control of Thought—Rational (ACT-R) cognitive architecture (Anderson et al., 2004) and then mapping  ... 
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