Friday, July 19th
Saturday, July 20th
09:00-10:20 Session 1
Drummond East
09:00 | An Architectural Integration of Temporal Motivation Theory for Decision Making ( paper ) |
09:20 | Decoy Effect and Violation of Betweenness in Risky Decision Making: A Resource-Rational Mechanistic Account ( paper ) |
09:40 | Memory of relative magnitude judgments informs absolute identification ( paper ) |
10:00 | The model that knew too much: The interaction between strategy and memory as a source of voting error ( paper ) |
10:40-10:20 Session 2
Drummond East
10:40 | On Robustness: An Undervalued Dimension of Human Rationality ( paper ) |
11:00 | Cognitive-Level Salience for Explainable Artificial Intelligence ( paper ) |
11:20 | (A)symmetry x (Non)monotonicity: Towards a Deeper Understanding of Key Cognitive
Di/Trichotomies and the Common Model of Cognition ( paper ) |
11:40 | Put Feeling into Cognitive Models: A Computational Theory of Feeling ( paper ) |
15:20-16:40 Session 3
Drummond East
15:20 | Modeling Cognitive Dynamics in
End-User Response to Phishing Emails ( paper ) |
15:40 | SpotLight on Dynamics of Individual Learning ( paper ) |
16:00 | Predictive Modeling
of Individual Human Cognition: Upper Bounds and a New Perspective on
Performance ( paper ) |
16:20 | Transfer
effects from varied practice and adaptation to changes in complex
skill acquisition ( paper ) |
17:00-20:00 Poster Session
Ballroom Center & East
39 | Conceptually Plausible Bayesian Inference in Interval Timing ( paper ) |
40 | Kickstarting Adaptive Fact Learning Using Hierarchical Bayesian
Modelling ( paper ) |
41 | Predictions of a Model of Language Comprehension
Compared to Brain Data ( paper ) |
42 | Are Standard
Reinforcement Learning Models too Flexible? ( paper ) |
43 | Testing a
Complex Training Task ( paper ) |
44 | Automated cognitive modeling with Bayesian active model selection ( paper ) |
45 | Cognitive Modeling with
Symbolic Deep Learning ( paper ) |
46 | Extending JSegMan to Interact
with a Biased Coin Task and a Spreadsheet Task ( paper ) |
47 | Evolutionary Optimization of Neural-Network Models
of Human Behavior ( paper ) |
48 | An implementation of
Universal Spatial Transformative Cognition in ACT-R ( paper ) |
49 | Neural Principles for Modeling
Relational Reasoning: Lesson learned from Cognitive Neuroscience ( paper ) |
50 | A Meta-Analysis of
Conditional Reasoning ( paper ) |
51 | Cognitive Metrics Profiling of a Complex Task: Toward
Convergent Validity with Behavioral and EEG Workload Indicators ( paper ) |
52 | Bringing
Order to the Cognitive Fallacy Zoo ( paper ) |
53 | Neural-Network
Modeling of Learning to Actively Learn ( paper ) |
54 | Combining Mental
Models and Probabilities: A new Computational Cognitive Approach for
Conditional Reasoning ( paper ) |
55 | Multi-Armed Bandit Problem: A New
Belief-Resilience Algorithm ( paper ) |
56 | Towards a Cognitive
Model of the Takeover in Highly Automated Driving for the Improvement
of Human Machine Interaction ( paper ) |
57 | A Study on
Teamwork in a Dynamic Task ( paper ) |
58 | A Spiking Neural Model of
Attention Effects in Memory ( paper ) |
59 | A Computational Theory for the Model Construction,
Inspection and Variation Phase in Human Spatial Reasoning ( paper ) |
60 | Modelling Influence of Affect on Cognition using CHREST ( paper ) |
61 | Making deep learning more human: Learning from the
shortcomings of a personality-based neural conversation model ( paper ) |
62 | Understanding the Learning Effect of
Approximate Arithmetic Training: What is Actually Being Learned? ( paper ) |
63 | Method of
Development of Interactive Agents Grounding the Cognitive Model to the
Virtual World ( paper ) |
Sunday, July 21st
09:00-10:20 Session 4
Drummond East
09:00 | Simulating Problem Difficulty in Arithmetic Cognition Through
Dynamic Connectionist Models ( paper ) |
09:20 | Learning and Recalling Arbitrary Lists of Overlapping Exemplars in a
Recurrent Artificial Neural Network ( paper ) |
09:40 | Flexible Timing with Delay Networks – The Scalar
Property and Neural Scaling ( paper ) |
10:00 | A Spiking Neural Architecture that Learns Tasks ( paper ) |
10:40-10:20 Session 5
Drummond East
10:40 | A cognitively plausible algorithm
for causal inference ( paper ) |
11:00 | Syntactic Priming Depends on Procedural,
Reward-Based Computations: Evidence from Experimental Data and a
Computational Model ( paper ) |
11:20 | The Role of Discourse in Italian Pronoun
Interpretation: Investigating Variations in Experimental Results with
Cognitive Modeling ( paper ) |
11:40 | Measuring the
Influence of L1 on Learner English Errors in Content Words within Word
Embedding Models ( paper ) |
15:20-16:40 Session 6
Drummond East
15:20 | A Skill-based
Approach to Modeling the Attentional Blink ( paper ) |
15:40 | Less is More:
Additional Information Leads to Lower Performance in Tetris Models ( paper ) |
16:00 | Predicting Performance in Cardiopulmonary
Resuscitation ( paper ) |
16:20 | ACT-R model for
cognitive assistance in handling flight deck alerts ( paper ) |
Monday, July 22st
09:00-10:20 Session 7
Drummond East
09:00 | Towards Personalized Deceptive
Signaling for Cyber Defense Using Cognitive Models ( paper ) |
09:20 | Predicting Individual Spatial Reasoners: A Comparison of Five
Cognitive Computational Theories ( paper ) |
09:40 | Different Brain, Same Prototype? Cognitive
Variability within a Recurrent Associative Memory ( paper ) |
10:00 | On the Matter of
Aggregate Models for Syllogistic Reasoning: A Transitive Set-Based
Account for Predicting the Population ( paper ) |
10:40-10:20 Session 8
Drummond East
10:40 | Modelling alternative strategies for mental rotation ( paper ) |
11:00 | A process model of magnitude estimation ( paper ) |
11:20 | Discoveries of the
Algebraic Mind: A PRIMs Model ( paper ) |
11:40 | Perspectives on Computational Models
of Learning and Forgetting ( paper ) |
15:20-16:40 Session 9
Drummond East
15:20 | Cognitive Models as a Computational Correlate of Theory
of Mind for Human-Machine Teaming ( paper ) |
15:40 | SEEV-VM: ACT-R
Visual Module based on SEEV theory ( paper ) |
16:00 | Lightweight Schematic Explanations of Robot Navigation
( paper ) |