Topics in Cognitive Science, Volume 14

Volume 14, Number 1, January 2022

Introduction

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  Andrea Bender:
  Introduction to topiCS Volume 14, Issue 1. 4-5
• 
  Andrea Bender:
  Toward Greater Integration: Fellows Perspectives on Cognitive Science. 6-13

Original Articles

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  Cleotilde Gonzalez:
  Learning and Dynamic Decision Making. 14-30
• 
  Steven A. Sloman:
  How Do We Believe? 31-44

Introduction

• 
  Yoed N. Kenett, Thomas T. Hills:
  Editors' Introduction to Networks of the Mind: How Can Network Science Elucidate Our Understanding of Cognition? 45-53

Original Articles

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  Abhilasha Ashok Kumar, Mark Steyvers, David A. Balota:
  A Critical Review of Network-Based and Distributional Approaches to Semantic Memory Structure and Processes. 54-77
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  Elisabeth A. Karuza:
  The Value of Statistical Learning to Cognitive Network Science. 78-92
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  Dirk U. Wulff, Simon De Deyne, Samuel Aeschbach, Rui Mata:
  Using Network Science to Understand the Aging Lexicon: Linking Individuals' Experience, Semantic Networks, and Cognitive Performance. 93-110
• 
  Nichol Castro:
  Methodological Considerations for Incorporating Clinical Data Into a Network Model of Retrieval Failures. 111-126
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  Michael S. Vitevitch:
  What Can Network Science Tell Us About Phonology and Language Processing? 127-142
• 
  Massimo Stella:
  Cognitive Network Science for Understanding Online Social Cognitions: A Brief Review. 143-162
• 
  Liane Gabora, Nicole M. Beckage, Mike A. Steel:
  An Autocatalytic Network Model of Conceptual Change. 163-188
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  Thomas T. Hills, Yoed N. Kenett:
  Is the Mind a Network? Maps, Vehicles, and Skyhooks in Cognitive Network Science. 189-208

Volume 14, Number 2, April 2022

Everyday Activities Editor: Holger Schultheis and Richard P. Cooper Tasks, Tools and Techniques (Topic continuation)
Best of Papers from the 2021 Cognitive Science Society
Introduction

• 
  Andrea Bender:
  Introduction to topiCS Volume 14, Issue 2. 212-213
• 
  Holger Schultheis, Richard P. Cooper:
  Everyday Activities. 214-222

Best of Papers from the 2021 Cognitive Science Society Conference

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  Danesh Shahnazian, Mehdi Senoussi, Ruth M. Krebs, Tom Verguts, Clay B. Holroyd:
  Neural Representations of Task Context and Temporal Order During Action Sequence Execution. 223-240
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  Kaichi Yanaoka, Satoru Saito:
  The Development of Learning, Performing, and Controlling Repeated Sequential Actions in Young Children. 241-257
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  Björn Meder, Ralf Mayrhofer, Azzurra Ruggeri:
  Developmental Trajectories in the Understanding of Everyday Uncertainty Terms. 258-281
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  Myrto I. Mylopoulos:
  Oops! I Did it Again: The Psychology of Everyday Action Slips. 282-294
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  Rachel Mis, Tania Giovannetti:
  Similarities between Cognitive Models of Language Production and Everyday Functioning: Implications for Development of Interventions for Functional Difficulties. 295-310
• 
  Roy De Kleijn, Deniz Sen, George Kachergis:
  A Critical Period for Robust Curriculum-Based Deep Reinforcement Learning of Sequential Action in a Robot Arm. 311-326
• 
  Riccardo Caccavale, Alberto Finzi:
  A Robotic Cognitive Control Framework for Collaborative Task Execution and Learning. 327-343
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  David Vernon, Josefine Albert, Michael Beetz, Shiau-Chuen Chiou, Helge J. Ritter, Werner X. Schneider:
  Action Selection and Execution in Everyday Activities: A Cognitive Robotics and Situation Model Perspective. 344-362
• 
  Richard Menary, Alexander James Gillett:
  The Tools of Enculturation. 363-387
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  Claire Bergey, Zoe Marshall, Simon DeDeo, Daniel Yurovsky:
  Learning Communicative Acts in Children's Conversations: A Hidden Topic Markov Model Analysis of the CHILDES Corpora. 388-399
• 
  Eeshan Hasan, Quentin Eichbaum, Adam C. Seegmiller, Charles Stratton, Jennifer S. Trueblood:
  Improving Medical Image Decision-Making by Leveraging Metacognitive Processes and Representational Similarity. 400-413
• 
  V. N. Vimal Rao, Jeffrey K. Bye, Sashank Varma:
  Categorical Perception of p-Values. 414-425

Volume 14, Number 3, July 2022

Topic: Executive Editor: Andrea Bender - Topic: Fellows of the Cognitive Science Society, - Extending Rationality, - Topic Continuation: Commentaries on Rafael Núñez's Article, "What Happened to Cognitive Science?"
Introduction

• 
  Andrea Bender:
  Introduction to topiCS Volume 14, Issue 3. 430-431

Topic: Fellows of the Cognitive Science Society

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  Ashley L. Ruba, Seth D. Pollak, Jenny R. Saffran:
  Acquiring Complex Communicative Systems: Statistical Learning of Language and Emotion. 432-450

Topic: Extending Rationality

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  Emmanuel M. Pothos, Timothy J. Pleskac:
  Rethinking Rationality. 451-466
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  Ralph Hertwig, Christina Leuker, Thorsten Pachur, Leonidas Spiliopoulos, Timothy J. Pleskac:
  Studies in Ecological Rationality. 467-491
• 
  Zheng Wang, Jerome R. Busemeyer, Brahm deBuys:
  Beliefs, Actions, and Rationality in Strategical Decisions. 492-507
• 
  Bartosz W. Wojciechowski, Bernadetta Izydorczyk, Pawel Blasiak, James M. Yearsley, Lee C. White, Emmanuel M. Pothos:
  Constructive Biases in Clinical Judgment. 508-527
• 
  Ben Prystawski, Florian Mohnert, Mateo Tosic, Falk Lieder:
  Resource-rational Models of Human Goal Pursuit. 528-549
• 
  Mathew D. Hardy, Peaks M. Krafft, Bill Thompson, Thomas L. Griffiths:
  Overcoming Individual Limitations Through Distributed Computation: Rational Information Accumulation in Multigenerational Populations. 550-573
• 
  Michael Henry Tessler, Joshua B. Tenenbaum, Noah D. Goodman:
  Logic, Probability, and Pragmatics in Syllogistic Reasoning. 574-601
• 
  Ulrike Hahn:
  Collectives and Epistemic Rationality. 602-620
• 
  Richard M. Shiffrin:
  Is it Reasonable to Study Decision-Making Quantitatively? 621-633

Topic: Commentaries on Rafael Núñez's Article, "What Happened to Cognitive Science?"

• 
  Pablo Contreras Kallens, Rick Dale, Morten H. Christiansen:
  Quantifying Interdisciplinarity in Cognitive Science and Beyond. 634-645

Volume 14, Number 4, October 2022

Topic: Cognition-Inspired Artificial Intelligence Best of Papers from the 19th International Conference on Cognitive Modeling
Introduction

• 
  Andrea Bender:
  Introduction to topiCS Volume 14, Issue 4. 650-651

Topic: Cognition-Inspired Artificial Intelligence

• 
  Daniel N. Cassenti, Vladislav Daniel Veksler, Frank E. Ritter:
  Editor's Review and Introduction: Cognition-Inspired Artificial Intelligence. 652-664
• 
  Thuy Ngoc Nguyen, Cleotilde Gonzalez:
  Theory of Mind From Observation in Cognitive Models and Humans. 665-686
• 
  Sébastien Hélie, Zygmunt Pizlo:
  When is Psychology Research Useful in Artificial Intelligence? A Case for Reducing Computational Complexity in Problem Solving. 687-701
• 
  Vladislav Daniel Veksler, Blaine Hoffman, Norbou Buchler:
  Symbolic Deep Networks: A Psychologically Inspired Lightweight and Efficient Approach to Deep Learning. 702-717
• 
  Sebastian Blum, Oliver W. Klaproth, Nele Russwinkel:
  Cognitive Modeling of Anticipation: Unsupervised Learning and Symbolic Modeling of Pilots' Mental Representations. 718-738
• 
  Florian Sense, Ryan Wood, Michael G. Collins, Joshua Fiechter, Aihua Wood, Michael Krusmark, Tiffany S. Jastrzembski, Christopher W. Myers:
  Cognition-Enhanced Machine Learning for Better Predictions with Limited Data. 739-755
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  Konstantinos Mitsopoulos, Sterling Somers, Joel Schooler, Christian Lebiere, Peter Pirolli, Robert Thomson:
  Toward a Psychology of Deep Reinforcement Learning Agents Using a Cognitive Architecture. 756-779
• 
  Goonmeet Bajaj, Sean Current, Daniel Schmidt, Bortik Bandyopadhyay, Christopher W. Myers, Srinivasan Parthasarathy:
  Knowledge Gaps: A Challenge for Agent-Based Automatic Task Completion. 780-799
• 
  Shashank Uttrani, Neha Sharma, Varun Dutt:
  Life and Death Decisions and COVID-19: Investigating and Modeling the Effect of Framing, Experience, and Context on Preference Reversals in the Asian Disease Problem. 800-824

Topic: Best of Papers from the 19th International Conference on Cognitive Modeling

• 
  Terrence C. Stewart, Joost de Jong:
  Editors' Introduction: Best Papers from the 19th International Conference on Cognitive Modeling. 825-827
• 
  Daniel Brand, Nicolas Riesterer, Marco Ragni:
  Model-Based Explanation of Feedback Effects in Syllogistic Reasoning. 828-844
• 
  Holly Sue Hake, Catherine Sibert, Andrea Stocco:
  Inferring a Cognitive Architecture from Multitask Neuroimaging Data: A Data-Driven Test of the Common Model of Cognition Using Granger Causality. 845-859
• 
  Tim Halverson, Christopher W. Myers, Jeffery Gearhart, Matthew W. Linakis, Glenn Gunzelmann:
  Physiocognitive Modeling: Explaining the Effects of Caffeine on Fatigue. 860-872
• 
  Laura M. Hiatt, Connor Brooks, J. Gregory Trafton:
  Validating and Refining Cognitive Process Models Using Probabilistic Graphical Models. 873-888
• 
  Maarten van der Velde, Florian Sense, Jelmer P. Borst, Leendert van Maanen, Hedderik van Rijn:
  Capturing Dynamic Performance in a Cognitive Model: Estimating ACT-R Memory Parameters With the Linear Ballistic Accumulator. 889-903