This content is not included in
your SAE MOBILUS subscription, or you are not logged in.
Validating Cognitive Human Models for Multiple Target Search Tasks with Variable Length Markov ''Chains
Technical Paper
2003-01-2219
ISSN: 0148-7191, e-ISSN: 2688-3627
Annotation ability available
Sector:
Language:
English
Abstract
This paper describes a method we developed heuristically to validate cognitive models with the aid of variable length MARKOV chains. The focus of the proposed method is the validation of sequences of actions rather than the validation of time consumption. This method we applied in the investigation of visual attention in multiple target search tasks on computer-based radar displays. For the symbolic cognitive model description we used the visual module of the ACT-R/PM theory.
Authors
- Carsten Winkelholz - Research Establishment for Applied Science (FGAN), Research Institute for Communication, Information Processing and Ergonomics GERMANY
- Christopher Schlick - Research Establishment for Applied Science (FGAN), Research Institute for Communication, Information Processing and Ergonomics GERMANY
- Florian Motz - Research Establishment for Applied Science (FGAN), Research Institute for Communication, Information Processing and Ergonomics GERMANY
Topic
Citation
Winkelholz, C., Schlick, C., and Motz, F., "Validating Cognitive Human Models for Multiple Target Search Tasks with Variable Length Markov ''Chains," SAE Technical Paper 2003-01-2219, 2003, https://doi.org/10.4271/2003-01-2219.Also In
References
- Anderson J. R. Matessa M. Lebiere Christian 1998 “The Atomic Components of Thought” Lawrance Erlbaum Assciation, Inc. Publishers
- Bengio, Y. 1999 Markovian Models for Sequential Data Neural Computing Surveys 1 1999 2 129 162
- Bühlmann, P. Wyner, A.J. 1999 Variable Length Markov Chains Bühlmann Variable length Markov chains Annals of Statistics 27 1 480 513
- Cassandras, C. G. Lafortune, S. 1999 Introduction to Discrete Event Systems Boston Kluver
- Ghahramani, Z. 1998 Learning Dynamic Bayesian Network Giles, C.L. Gori, M. Adaptive Processing of Temporal Information New York Springer 1998
- Kearns, M. 1994 Mansour, Y. Ron, D. Rubinfeld, R. Schapire, R., E. Sellie, L. On the Learnability of Discrete Distributions Proceedings of the 26 th Annual ACM Symposium on Theory of Computing 273 282 1994
- Kohavi, R. 1995 A study of cross-validation and bootstrap for accuracy estimation and model selection Proceedings IJCAI-95, Montreal, Canada 1995 1137 1143
- Laird, J.E. Rosenbloom, P.S. Newell, A. 1987 Soar: An architecture for general intelligence Artificial Intelligence 33 1 64
- Luczak, H. Schlick, C. Künzer, A. Ohmann, F. 2002 Syntactic User Modeling with Stochastic Processes Theor. Issues in Ergon. Sci. ( 2 ) 1 1 27
- McLachlan, G. J. Krishnan, T. 1997 The EM Algorithm and Extensions Wiley Interscience
- Motz, F. Widdel, H. 1999 Ergonomic Design of Presentation of AIS Information on Ships Final Report for the Federal Ministry of Transport, Building, and Housing Germany
- Ron, D. Singer, Y. Tishby, N. 1996 The Power of Amnesia: Learning Probabilistic Automata with Variable Length Machine Learning 25 2 3 1996 117 149
- Taatgen, N. A. 1999 Learning without limits: from problem solving toward a unified theory of learning Ph.D. Thesis
- Weinberger, M.J. Rissanen, J. Feder, M. 1995 A Universal Finite Memory Source IEEE Transactions on Infomation Theory 41 3 643 65