Proceedings of the 14th International Conference on Cognitive Modeling (ICCM 2016)

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Introduction

Ritter, F., & Reitter, D. (2016). Introduction to the proceedings. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (p. i). University Park, PA: Penn State.

Keynotes

Hale, J. T. (2016). Automaton theories of human sentence comprehension. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (p. 1). University Park, PA: Penn State.
Trueblood, J. S. (2016). A quantum probability framework for causal inference. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (p. 1). University Park, PA: Penn State.
Pruett, W. A. “Drew.” (2016). Integrative physiological modeling: looking at a larger picture. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (p. 2). University Park, PA: Penn State.

Long Papers

Salvucci, D. (2016). Cognitive code: an embedded approach to cognitive modeling. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 15–20). University Park, PA: Penn State.
Kim, J., & Ritter, F. (2016). Microgenetic analysis of learning a task: its implications to cognitive modeling. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 21–26). University Park, PA: Penn State.
Stevens, C., Weerd, H. de, Cnossen, F., & Taatgen, N. (2016). A metacognitive agent for training negotiation skills. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 27–32). University Park, PA: Penn State.
Lebiere, C., Morrison, D., Abdelzaher, T., Hu, S., Gonzalez, C., Buchler, N., & Veksler, V. (2016). Cognitive models of prediction as decision aids. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 33–38). University Park, PA: Penn State.
Perelman, B., & Mueller, S. (2016). Considerations influencing human TSP solutions and modeling implications. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 39–45). University Park, PA: Penn State.
Veksler, B., Boyd, R., Myers, C., Gunzelmann, G., Neth, H., & Gray, W. (2016). The representation of visual working memory. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 46–51). University Park, PA: Penn State.
Thomson, R., Harrison, A. M., Trafton, J. G., & Hiatt, L. M. (2016). An account of interference in associative memory: learning the fan effect. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 52–57). University Park, PA: Penn State.
Li, J., & Kohanyi, E. (2016). Towards modeling false memory with computational knowledge bases. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 58–64). University Park, PA: Penn State.
Shvartsman, M., Srivastava, V., Sundaram, N., & Cohen, J. (2016). Using behavior to decode allocation of attention in context dependent decision making. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 65–71). University Park, PA: Penn State.
Yu, M., & Gonzalez, C. (2016). Learning the dynamics of prisoner’s dilemma: lessons from modeling and simulation. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 72–78). University Park, PA: Penn State.
Abbasi, Y. D., Ben-Asher, N., Gonzalez, C., Morrison, D., Sintov, N., & Tambe, M. (2016). Adversaries wising up: modeling heterogeneity and dynamics of behavior. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 79–85). University Park, PA: Penn State.
Lindes, P., & Laird, J. E. (2016). Toward integrating cognitive linguistics and cognitive language processing. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 86–92). University Park, PA: Penn State.
Parker, D., & Lantz, D. (2016). Encoding and accessing linguistic representations in a dynamically structured holographic memory system. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 93–99). University Park, PA: Penn State.
Thanasuan, K., & Mueller, S. (2016). Investigating and simulating the effect of word fragments as orthographic clues in crossword solutions. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 100–106). University Park, PA: Penn State.
Somers, S. (2016). ACT-R 3D: A 3D simulation environment for python ACT-R. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 107–112). University Park, PA: Penn State.
Fisher, C., Walsh, M., Blaha, L., Gunzelmann, G., & Veksler, B. (2016). Efficient parameter estimation of cognitive models for real-time performance monitoring and adaptive interfaces. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 113–118). University Park, PA: Penn State.
Taatgen, N., & Weerd, H. de. (2016). Using a cognitive architecture in educational and recreational games: how to incorporate a model in your app. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 119–124). University Park, PA: Penn State.
Domínguez, I. X., Dhawan, J., St. Amant, R., & Roberts, D. L. (2016). JIVUI: javaScript interface for visualization of user interaction. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 125–130). University Park, PA: Penn State.
Buwalda, T., Borst, J., Maas, H. van der, & Taatgen, N. (2016). Explaining mistakes in single digit multiplication: A cognitive model. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 131–136). University Park, PA: Penn State.
Halbrügge, M., & Russwinkel, N. (2016). The sum of two models: how a composite model explains unexpected user behavior in a dual-task scenario. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 137–143). University Park, PA: Penn State.
Stojic, H., Olsson, H., & Analytis, P. P. (2016). Explaining inter-individual variability in strategy selection: A cue weight learning approach. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 144–150). University Park, PA: Penn State.
Surendran, V., & Long, L. (2016). Effect of reward prediction errors on the emotional state of an agent. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 151–156). University Park, PA: Penn State.
Duggins, P., Stewart, T. C., Choo, X., & Eliasmith, C. (2016). Effects of guanfacine and phenylephrine on a spiking neuron model of working memory. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 157–162). University Park, PA: Penn State.
Khosroshahi, E., Salvucci, D., Veksler, B., & Gunzelmann, G. (2016). Capturing the effects of moderate fatigue on driver performance. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 163–168). University Park, PA: Penn State.
Burns, M., Ritter, F. E., & Zhang, X. L. (2016). Using naturalistic typing to update architecture typing constants. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 169–174). University Park, PA: Penn State.
Domínguez, I. X., Dhawan, J., St. Amant, R., & Roberts, D. L. (2016). Exploring the effects of different text stimuli on typing behavior. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 175–181). University Park, PA: Penn State.
Jones, S., Wandzel, A., & Laird, J. (2016). Efficient computation of spreading activation using lazy evaluation. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 182–187). University Park, PA: Penn State.
Juvina, I., Collins, M., Larue, O., & Melo, C. de. (2016). Toward a unified theory of learned trust. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 188–193). University Park, PA: Penn State.
Mueller, S., Tan, Y. Y. S., North, H., & Steelman, K. (2016). A minimal model of eye movement applied to visual search and change detection. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 194–200). University Park, PA: Penn State.
Prezenski, S., & Russwinkel, N. (2016). Towards a general model of repeated app usage. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 201–207). University Park, PA: Penn State.
Vera, J. (2016). Modeling phonological similarity effects on the self-organization of vocabularies. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 208–213). University Park, PA: Penn State.
Vertolli, M. O., & Stewart, T. (2016). Spiking neural model of supervised learning in the auditory localization pathway of barn owls. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 214–219). University Park, PA: Penn State.

Abstracts

Wirzberger, M., & Rey, G. D. (2016). Examining load-inducing factors in instructional design: an ACT-R approach (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 223–224). University Park, PA: Penn State.
Dörr, L.-M., Russwinkel, N., & Prezenski, S. (2016). ACT-Droid: ACT-R interacting with android applications (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 225–227). University Park, PA: Penn State.
McDonald, M., & Stocco, A. (2016). The minimalist interference model of the implicit association test predicts working memory confounds (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 228–229). University Park, PA: Penn State.
Kluth, T., Burigo, M., Schultheis, H., & Knoeferle, P. (2016). Distinguishing cognitive models of spatial language understanding (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 230–231). University Park, PA: Penn State.
Goodwin, P. R., St. Amant, R., & Arora, R. (2016). Towards error recovery microstrategies in touch screen environments (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 232–233). University Park, PA: Penn State.
Peebles, D. (2016). Two methods for search and optimising cognitive model parameters (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 234–235). University Park, PA: Penn State.
Halsey, P., Myers, C., Gluck, K., & Harris, J. (2016). Predicting the effects of in-task instruction during multi-cue diagnosis (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 236–238). University Park, PA: Penn State.
Matsui, T., & Yamada, S. (2016). Eye-tracking analysis for product recommendation virtual agent with markov chain model (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 239–240). University Park, PA: Penn State.
Zeller, C., & Schmid, U. (2016). Automatic generation of analogous problems to help resolving misconceptions in an intelligent tutor system for written subtraction (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 241–242). University Park, PA: Penn State.
Morita, J., Hirayama, T., Mase, K., & Yamada, K. (2016). Modeling autobiographical memory from photo libraries (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 243–245). University Park, PA: Penn State.
Lindner, S., & Russwinkel, N. (2016). Modeling of proximity-based expectations (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 246–248). University Park, PA: Penn State.
Prezenski, S., & Russwinkel, N. (2016). A proposed method of matching ACT-R and EEG-Data (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 249–251). University Park, PA: Penn State.
Sense, F., Maass, S., & Rijn, H. van. (2016). Interactions of declarative and procedural memory in real-life tasks: validating CPR as a new paradigm (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 252–253). University Park, PA: Penn State.
Kennedy, W. G. (2016). Intuitive decision-making revisited: A heuristic and the feeling of recognition (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 254–255). University Park, PA: Penn State.
Fang, S.-Y., Zinszer, B., Malt, B., & Li, P. (2016). A computational model of semantic convergence in bilinguals (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 256–257). University Park, PA: Penn State.
Huijser, S., Taatgen, N., & Vugt, M. van. (2016). Following the wandering mind in the eyes: tracking distraction by the self in a complex working memory task (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 258–260). University Park, PA: Penn State.
Halbrügge, M. (2016). Towards the evaluation of cognitive models using anytime intelligence tests (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 261–263). University Park, PA: Penn State.
West, R., MacDougal, K., & Ward, L. (2016). Analyzing fatigue, stress and human errors in emergency operation centre management: the consequences of using different cognitive modelling frameworks (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 264–265). University Park, PA: Penn State.
Tehranchi, F., & Ritter, F. E. (2016). Connecting cognitive models to interact with human-computer interfaces (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 266–267). University Park, PA: Penn State.
Ritter, F., Bouyat, C., Ekdahl, K., & Guzek, D. (2016). An update on automatic transcription vs. manual transcription (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 268–269). University Park, PA: Penn State.
Lukac, M., Oteniyaz, G., & Kameyama, M. (2016). Modeling human intention in a live-feeling platform (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 270–272). University Park, PA: Penn State.
Mahamadi, A., & Sastry, S. (2016). A bond graph approach for wellness management based on the client-therapist model (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 273–275). University Park, PA: Penn State.
Larue, O., & Juvina, I. (2016). Modeling cognitive parsimony with a demand selection task (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 276–278). University Park, PA: Penn State.
Kelly, M., & West, R. (2016). A computational model of memory for abstract associations (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 279–281). University Park, PA: Penn State.
Pinto, A. M., & Sharma, R. (2016). Concept learning, recall, and blending with regulated activation networks (abstract). In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 282–284). University Park, PA: Penn State.

Tutorials

Wade, G., & Wyble, B. (2016). Stream: A toolkit for rapidly developing high precision experiments. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 5–6). University Park, PA: Penn State.
Dancy, C. L., & Pruett, W. A. (2016). Integrative computational modeling of physiological and cognitive systems, and their interactions. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 7–8). University Park, PA: Penn State.
Verschure, P. F. M. J. (2016). The distributed adaptive control architecture of the embodied situated mind. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (pp. 9–10). University Park, PA: Penn State.
Veksler, V. “Dan.” (2016). Tools for cognitive modeling: developing tasks for universal access by models and human participants, exploring a massive parameter space to find the best fit of model to data, and analyzing the persuasiveness of the best-found fit. In D. Reitter & F. E. Ritter (Eds.), Proceedings of the 14th International Conference on Cognitive Modeling (p. 11). University Park, PA: Penn State.