ICCM2022: 20TH INTERNATIONAL CONFERENCE ON COGNITIVE MODELING

Virtual Session 1
July 9 Videos available for viewing
July 11 Q&A Session 14:00-15:00EDT
  • Maximilian Mittenbühler, Daniel Brand, Marco Ragni
    Do Models of Syllogistic Reasoning extend to Generalized Quantifiers? (paper)
  • Christopher R. Fisher, Lorraine Borghetti, Joseph W. Houpt, Leslie M. Blaha, Christopher Stevens
    A comparison of quantum and multinomial processing tree models of the interference effect (paper)
  • Kazuma Nagashima, Junpei Nishikawa, Ryo Yoneda, Junya Morita, Tetsuya Terada
    Modeling optimal arousal by integrating basic cognitive components (paper)
  • Yuxue C. Yang, Andrea Stocco
    A Model of Motivation and Effort Allocation in the ACT-R Cognitive Architecture (paper)
    Virtual Session 2
    July 10 Videos available for viewing
    July 12 Q&A Session 14:00-15:00EDT
  • Lorraine Borghetti, Christopher R. Fisher, Joseph W. Houpt, Leslie M. Blaha, Glenn Gunzelmann, Christopher Stevens
    Towards a Method for Evaluating Convergence Across Modeling Frameworks (paper)
  • Jon M. Fincham, Caitlin S. Tenison, John R. Anderson
    Combining EEG and a cognitive model to infer the time course of game play (paper)
  • Yinuo Du, Palvi Aggarwal, Kuldeep Singh, Cleotilde Gonzalez
    Modeling of Multi-Defender Collaboration in a Cyber-Security Scenario (paper)
  • Jumpei Nishikawa, Junya Morita
    Estimating phonological awareness with interactive cognitive models: Feasibility study manipulating participants' auditory characteristics (paper)
    Virtual Session 3
    July 11 Videos available for viewing
    July 13 Q&A Session 14:00-15:00EDT
  • Christopher Fisher, Brent D. Fegley, Christopher A. Stevens, Christopher W. Myers
    On the limits of spreading activation in ACT-R: Predictions and testability (paper)
  • Erin H. Bugbee, Chase McDonald, Cleotilde Gonzalez
    Leveraging cognitive models for the wisdom of crowds in sequential decision tasks (paper)
  • Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard
    Fast Online Reinforcement Learning with Biologically-Based State Representations (paper)
  • Gillian Grennan, Andrea Stocco
    Estimating ACT-R Declarative Memory Parameters Using a Drift Diffusion Model (paper)
  • Brendan Conway-Smith, Robert L. West
    Clarifying system 1 & 2 through the common model of cognition (paper)
    Virtual Session 4
    July 12 Videos available for viewing
    July 14 Q&A Session 14:00-15:00EDT
  • Umesh Patil, Petra B. Schumacher
    Modeling prominence constraints for German pronouns as weighted retrieval cues (paper)
  • Garrett Swan, Christopher A. Stevens, Christopher R. Fisher, Samantha Klosterman
    Exploring Multitasking Strategies in an ACT-R model of a Complex Piloting Task (paper)
  • Edward A. Cranford, Shahin Jabbari, Han-Ching Ou, Milind Tambe, Cleotilde Gonzalez, Christian Lebiere
    Combining machine learning and cognitive models for adaptive phishing training (paper)
    Virtual Session 5
    July 13 Videos available for viewing
    July 15 Q&A Session 14:00-15:00EDT
  • Peter C.R. Lane, Laura Bartlett, Noman Javed, Angelo Pirrone, Fernand Gobet
    Evolving understandable cognitive models (paper)
  • Taylor Curley, Megan B. Morris
    Modeling short-term fatigue decrements in the successive/simultaneous discrimination task (paper)
  • Nicole Tan, Yiyun Shou, Junwen Chen, Bruce Christensen
    Specificity of the Jumping-to-Conclusion Bias in Social Anxiety: An Account using the Bayesian Computational Modelling Approach (paper)
  • Emmanuelle Dietz
    Argumentation-based Reasoning guided by Chunk Activation in ACT-R (paper)
    Virtual Posters
    July 10 Videos available for viewing
    July 12 Q&A Session 17:00-18:00EDT
  • Nidhi V. Banavar, Aaron M. Bornstein
    Response time modeling provides stable and mechanistically interpretable measures of individual differences in behavioral pattern separation. (paper)
  • Jiaqi Huang, Jerome Busemeyer
    A quantum walk framework for multialternative decision making (paper)
  • Hadeel Ismail, Peter C-H. Cheng
    Using GOMS to Model Individual Differences in a Competence Assessment Task (paper)
  • Harsh Katakwar, Palvi Aggarwal, Varun Dutt
    Understanding adversarial decisions for different probing-action costs in a deception game via cognitive modeling (paper)
  • Felix Kettner, Elisa-Maria Heinrich, Daniel Brand, Marco Ragni
    Reverse-Engineering of Boolean Concepts: A Benchmark Analysis (paper)
  • Sangeet Khemlani
    A computational cognitive theory of temporal reasoning (paper)
  • Frank E. Ritter, Deja Workman, Shan Wang
    Predicting Learning in the Troubleshooting Task using a Cognitive Architecture-Based Task Analysis (paper)
  • Roderick Yang Terng Seow, John R. Anderson
    Discontinuities in function learning (paper)
  • Sara Todorovikj, Daniel Brand, Marco Ragni
    Predicting algorithmic complexity for individuals (paper)
  • Nhut Truong, Uri Hasson
    Using deep neural networks for modeling representational spaces: the prevalence and impact of rarely-firing nodes (paper)
    In-Person Session 1
    July 24 09:00-10:20EDT
  • Alexander R. Hough, Ion Juvina
    Individual Differences and Levels of Analysis in Computational Models of Coordination (paper)
  • Taylor Curley, Lorraine Borghetti, Megan B. Morris
    Gamma power as an index of sustained attention in simulated vigilance tasks (paper)
  • Corné Hoekstra, Sander Martens, Niels Taatgen
    Obstacles to the skill-based approach: Why is skill reuse so difficult for cognitive architectures? (paper)
  • Kazuma Nagashima, Junpei Nishikawa, Ryo Yoneda, Junya Morita, Tetsuya Terada
    Modeling optimal arousal by integrating basic cognitive components (paper)
    In-Person Session 2
    July 24 10:40-12:00EDT
  • Renan Ozen, Robert L. West, M. Alex Kelly
    Minerva-Q: A multiple-trace memory system for reinforcement learning (paper)
  • Amirreza Bagherzadehkhorasani, Farnaz Tehranchi
    Comparing Cognitive, Cognitive Instance-Based, and Reinforcement Learning Models in an Interactive Task (paper)
  • Madeleine Bartlett, Terrence C. Stewart, Jeff Orchard
    Fast Online Reinforcement Learning with Biologically-Based State Representations (paper)
  • Brendan Conway-Smith, Robert L. West
    Clarifying system 1 & 2 through the common model of cognition (paper)
    In-Person Session 3
    July 25 09:00-10:20EDT
  • Maria Vorobeva, Robert West, Kasia Muldner
    Modelling Expert and Novice Programming Strategies using Python-ACTR (paper)
  • Jumpei Nishikawa, Junya Morita
    Estimating phonological awareness with interactive cognitive models: Feasibility study manipulating participants' auditory characteristics (paper)
  • Nora C. Harhen, Aaron M. Bornstein
    Learning to expect change: Volatility during early experience alters reward expectations in a model of interval timing (paper)
    In-Person Session 4
    July 25 10:40-12:00EDT
  • Edward A. Cranford, Shahin Jabbari, Han-Ching Ou, Milind Tambe, Cleotilde Gonzalez, Christian Lebiere
    Combining machine learning and cognitive models for adaptive phishing training (paper)
  • Christopher L. Dancy
    Using a Cognitive Architecture to consider antiblackness in design and development of AI systems (paper)
  • Ion Juvina, Jarean Carson, Preston Menke, Peter Crowe
    Cognitive and Motivational Effects in Peer-Assisted Learning (paper)
    In-Person Posters
    July 24 12:00-15:00EDT
  • Madeleine Bartlett, Nicole Sandra-Yaffa Dumont, Michael P. Furlong, Terrence C. Stewart
    Biologically-Plausible Memory for Continuous-Time Reinforcement Learning (paper)
  • Rebekah Gelpi, Yikai Tang, William A. Cunningham
    Informational Trade-offs of Learning from Expert Demonstration (paper)
  • Pierre G. Gianferrara, John R. Anderson
    Action sequencing, timing, and chunking in Space Fortress (paper)
  • Moritz Held, Jochem Rieger, Jelmer Borst
    Multitasking while driving: central bottleneck or problem state interference? (paper)
  • Justin Li, Bryce Boyle
    Towards a computational model of a dynamic feeling of knowing (paper)
  • Abigail Toth, Petra Hendriks, Niels Taatgen, Jacolien van Rij
    Learning linguistic reference biases in the PRIMs cognitive architecture (paper)
  • Thomas Wilschut, Florian Sense, Odette Scharenborg, Hedderik van Rijn
    Beyond Responding Fast or Slow: Improving Cognitive Models of Memory Retrieval using Prosodic Speech Features (paper)