SEARCH

SEARCH BY CITATION

References

  • Anderson, J. R. (1981). Interference: The relationship between response latency and response accuracy. Journal of Experimental Psychology: Human Learning and Memory, 7, 326343.
  • Anderson, J. R. (1983). The architecture of cognition. Hillsdale, NJ: Erlbaum.
  • Anderson, J. R. (1987). Skill acquisition: Compilation of weak-method problem solutions. Psychological Review, 94, 192210.
  • Anderson, J. R. (2005). Human symbol manipulation within an integrated cognitive architecture. Cognitive Science, 29, 313341.
  • Anderson, J. R. (2007). How can the human mind occur in the physical universe? New York: Oxford University Press.
  • Anderson, J. R., Bothell, D., Byrne, M. D., Douglass, S., Lebiere, C., & Qin, Y. (2004). An integrated theory of the mind. Psychological Review, 111, 10361060.
  • Anderson, J. R., Bothell, D., Fincham, J. M., Anderson, A. R., Poole, B., & Qin, Y. (2011). Brain regions engaged in part- and whole-task performance in a video game: A model-based test of the decomposition hypothesis. Journal of Cognitive Neuroscience, 23, 39833997.
  • Anderson, J. R., Matessa, M., & Lebiere, C. (1997). ACT-R: A theory of higher level cognition and its relation to visual attention. Human Computer Interaction, 12, 439462.
  • Anderson, J. R., Taatgen, N. A., & Byrne, M. D. (2005). Learning to achieve perfect time sharing: Architectural implications of Hazeltine, Teague, & Ivry (2002). Journal of Experimental Psychology: Human Perception and Performance, 31, 749761.
  • Bibby, P. A., & Payne, S. A. (1993). Internalization and the use specificity of device knowledge. Human-Computer Interaction, 8, 2556.
  • Borst, J. P., Taatgen, N. A., & van Rijn, H. (2010). The problem state: A cognitive bottleneck in multitasking. Journal of Experimental Psychology: Learning, Memory, & Cognition, 36, 363382.
  • Brumby, D. P., Howes, A., & Salvucci, D. D. (2007). A cognitive constraint model of dual-task trade-offs in a highly dynamic driving task. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI'07 (pp. 233242). New York: ACM.
  • Byrne, M. D. (2001). ACT-R/PM and menu selection: Applying a cognitive architecture to HCI. International Journal of Human-Computer Studies, 55, 4184.
  • Byrne, M. D., Anderson, J. R., Douglass, S., & Matessa, M. (1999). Eye tracking the visual search of click-down menus. In M. W. Altom & M. G. Williams (Eds.), Human Factors in Computing Systems: Proceedings of CHI 99 (pp. 402409). Reading, MA: Addison Wesley.
  • Charman, S. C., & Howes, A. (2003). The adaptive user: An investigation into the cognitive and task constraints on the generation of new methods. Journal of Experimental Psychology: Applied, 9, 236248.
  • Dunbar, K. (1993). Concept discovery in a scientific domain. Cognitive Science, 17, 397434.
  • Fu, W.-T., Bothell, D., Douglass, S., Haimson, C., Sohn, M.-H., & Anderson, J. R. (2004). Learning from real-time over-the-shoulder instructions in a dynamic task. In M. Lovett, C. Schunn, C. Lebiere, & P. Munro (Eds.), Proceedings of the Sixth International Conference on Cognitive Modeling (pp. 100105). Pittsburgh, PA: Carnegie Mellon University/University of Pittsburgh.
  • Gentner, D. (1983). Structure-mapping: A theoretical framework for analogy. Cognitive Science, 7, 155170.
  • Glenberg, A. M., & Robertson, D. A. (1999). Indexical understanding of instructions. Discourse Processes, 28, 126.
  • Gray, W. D. (2008). Cognitive architectures: Choreographing the dance of mental operations with the task environment. Human Factors, 50, 497505.
  • Haskell, R. E. (2001). Transfer of learning: Cognition and instruction. New York: Academic Press.
  • Holyoak, K. J., & Thagard, P. (1996). Mental leaps: Analogy in creative thought. Cambridge, MA: MIT Press.
  • Howes, A., Lewis, R. L., & Vera, A. (2009). Rational adaptation under task and processing constraints: Implications for testing theories of cognition and action. Psychological Review, 116, 717751.
  • Howes, A., & Young, R. M. (1997). The role of cognitive architecture in modeling the user: Soar's learning mechanism. Human-Computer Interaction, 12, 311343.
  • Huffman, S. B., & Laird, J. E. (1995). Flexibly instructable agents. Journal of Artificial Intelligence Research, 3, 271324.
  • Jones, R. M., Laird, J. E., Nielsen, P. E., Coulter, K., Kenny, P., & Koss, F. (1999). Automated intelligent pilots for combat flight simulation. AI Magazine, 20, 2742.
  • Kieras, D. E. (2009). Why EPIC was wrong about motor feature programming. In A. Howes, D. Peebles, & R. P. Cooper (Eds.), Proceedings of the International Conference on Cognitive Modeling 2009 (pp. 6873). Manchester, UK: University of Manchester.
  • Laird, J. E. (2002). Research in human-level AI using computer games. Communications of the ACM, 45, 3235.
  • Laird, J. E., Newell, A., & Rosenbloom, P. S. (1987). Soar: An architecture for general intelligence. Artificial Intelligence, 33, 164.
  • Lee, F. J., & Anderson, J. R. (2001). Does learning of a complex task have to be complex? A study in learning decomposition. Cognitive Psychology, 42, 267316.
  • Lewis, R. L., Newell, A., & Polk, T. A. (1989). Toward a Soar theory of taking instructions for immediate reasoning tasks. In Proceedings of the 11th Annual Conference of the Cognitive Science Society (pp. 514521). Hillsdale, NJ: Erlbaum.
  • Logan, G. D. (1988). Toward an instance theory of automatization. Psychological Review, 95, 492527.
  • Lovett, M. C., Daily, L. Z., & Reder, L. M. (2000). A source activation theory of working memory: Cross-task prediction of performance in ACT-R. Journal of Cognitive Systems Research, 1, 99118.
  • Martin-Emerson, R., & Wickens, C. D. (1992). The vertical visual field and implications for the head-up display. In Proceedings of the Thirty-Sixth Annual Meeting of the Human Factors Society (pp. 14081412). Santa Monica, CA: Human Factors Society.
  • Meyer, D. E., & Kieras, D. E. (1997). A computational theory of executive cognitive processes and multiple-task performance: Part 1. Basic mechanisms. Psychological Review, 104, 365.
  • Newell, A. (1973). You can't play 20 questions with nature and win: Projective comments on the papers of this symposium. In W. G. Chase (Ed.), Visual Information Processing (pp. 283308). New York: Academic Press.
  • Newell, A. (1990). Unified theories of cognition. Cambridge, MA: Harvard University Press.
  • Nunberg, G. (1993). Indexicality and deixis. Linguistics and Philosophy, 16, 143.
  • Pashler, H. (1994). Dual-task interference in simple tasks: Data and theory. Psychological Bulletin, 116, 220244.
  • Ritter, F. E., & Young, R. M. (2001). Embodied models as simulated users: Introduction to this special issue on using cognitive models to improve interface design. International Journal of Human-Computer Studies, 55, 114.
  • Salvucci, D. D. (2001a). An integrated model of eye movements and visual encoding. Cognitive Systems Research, 1, 201220.
  • Salvucci, D. D. (2001b). Predicting the effects of in-car interface use on driver performance: An integrated model approach. International Journal of Human-Computer Studies, 55, 85107.
  • Salvucci, D. D. (2006). Modeling driver behavior in a cognitive architecture. Human Factors, 48, 362380.
  • Salvucci, D. D., & Anderson, J. R. (2001). Automated eye-movement protocol analysis. Human-Computer Interaction, 16, 3986.
  • Salvucci, D. D., & Taatgen, N. A. (2008). Threaded cognition: An integrated theory of concurrent multitasking. Psychological Review, 115, 101130.
  • Salvucci, D. D., & Taatgen, N. A. (2011). The multitasking mind. New York: Oxford University Press.
  • Schumacher, E. H., Seymour, T. L., Glass, J. M., Fencsik, D. E., Lauber, E. J., Kieras, D. E., & Meyer, D. E. (2001). Virtually perfect time sharing in dual-task performance: Uncorking the central cognitive bottleneck. Psychological Science, 12(2), 101108.
    Direct Link:
  • Singley, M. K., & Anderson, J. R. (1989). The transfer of cognitive skill. Cambridge, MA: Harvard University Press.
  • Sun, R., Zhang, X., & Mathews, R. (2006). Modeling meta-cognition in a cognitive architecture. Cognitive Systems Research, 7, 327338.
  • Taatgen, N. A. (2005). Modeling parallelization and flexibility improvements in skill acquisition: From dual tasks to complex dynamic skills. Cognitive Science, 29, 421455.
  • Taatgen, N. A., Huss, D., Dickison, D., & Anderson, J. R. (2008). The acquisition of robust and flexible cognitive skills. Journal of Experimental Psychology: General, 137, 548565.
  • Taatgen, N. A., & Lee, F. J. (2003). Production compilation: A simple mechanism to model complex skill acquisition. Human Factors, 45, 6176.
  • VanLehn, K. (1991). Rule acquisition events in the discovery of problem-solving strategies. Cognitive Science, 15, 147.