پیوندهای مفید
آمار
| تعداد نشریات | 7 |
| تعداد شماره‌ها | 410 |
| تعداد مقالات | 5,457 |
| تعداد مشاهده مقاله | 5,871,881 |
| تعداد دریافت فایل اصل مقاله | 5,230,919 |
Neuro-ACT Cognitive Architecture Applications in Modeling Driver’s Steering Behavior in Turns | ||
| AUT Journal of Modeling and Simulation | ||
| مقاله 3، دوره 47، شماره 2، اسفند 2015، صفحه 21-29 اصل مقاله (473.2 K) | ||
| نوع مقاله: Research Article | ||
| شناسه دیجیتال (DOI): 10.22060/miscj.2015.567 | ||
| نویسندگان | ||
| A. Dehban1؛ M. B. Menhaj* 2؛ A. Sajedin3 | ||
| 1MScStudent, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 2Professor, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 3PhD Student, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| چکیده | ||
| Cognitive Architectures (CAs) are the core of artificial cognitive systems. A CA is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. Over the years a number of distinct CAs have been proposed by different authors and their limitations and potentials were investigated. These CAs are usually classified as symbolic and sub-symbolic architectures. In this work, a novel hybrid architecture is proposed that encompasses a symbolic part (i.e. ACT-R) to explain the controlled aspects of behavior and a sub-symbolic part (i.e. Artificial Neural Networks) to describe automated skills. In order to demonstrate the capabilities of the proposed model, an experiment was conducted in which, a rather complex real life task was carried out by the model and its result were compared with those of human participants. Simulation results have shown promising capabilities of the new architecture in modeling complex human behavior. | ||
| کلیدواژه‌ها | ||
| Cognitive Architecture؛ neural networks؛ Cognitive Dynamic Systems؛ Driver Modeling؛ Neuro-ACT | ||
| عنوان مقاله [English] | ||
| Neuro-ACT Cognitive Architecture Applications in Modeling Driver’s Steering Behavior in Turns | ||
| نویسندگان [English] | ||
| A. Dehban1؛ M. B. Menhaj2؛ A. Sajedin3 | ||
| 1MScStudent, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 2Professor, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| 3PhD Student, Department of Electrical Engineering, Amirkabir University of Technology, Tehran, Iran | ||
| چکیده [English] | ||
| Cognitive Architectures (CAs) are the core of artificial cognitive systems. A CA is supposed to specify the human brain at a level of abstraction suitable for explaining how it achieves the functions of the mind. Over the years a number of distinct CAs have been proposed by different authors and their limitations and potentials were investigated. These CAs are usually classified as symbolic and sub-symbolic architectures. In this work, a novel hybrid architecture is proposed that encompasses a symbolic part (i.e. ACT-R) to explain the controlled aspects of behavior and a sub-symbolic part (i.e. Artificial Neural Networks) to describe automated skills. In order to demonstrate the capabilities of the proposed model, an experiment was conducted in which, a rather complex real life task was carried out by the model and its result were compared with those of human participants. Simulation results have shown promising capabilities of the new architecture in modeling complex human behavior. | ||
| کلیدواژه‌ها [English] | ||
| Cognitive Architecture, neural networks, Cognitive Dynamic Systems, Driver Modeling, Neuro-ACT | ||
| مراجع | ||
|
[1] D. L. Fisher, M. Rizzo, J. Caird, and J. D. Lee, Handbook of Driving Simulation for Engineering, Medicine, and Psychology. Taylor \& Francis, 2011. [2] D. D. Salvucci, “Modeling driver behavior in a cognitive architecture,” Human Factors: The Journal of the Human Factors and Ergonomics Society, vol. 48, no. 2, pp. 362–380, 2006. [3] D. Fum, F. D. Missier, and A. Stocco, “The cognitive modeling of human behavior: Why a model is (sometimes) better than 10,000 words,” Cognitive Systems Research, vol. 8, no. 3, pp. 135–142, 2007. [4] M. D. Byrne, “ACT-R/PM and menu selection: Applying a cognitive architecture to HCI,” International Journal of Human-Computer Studies, vol. 55, no. 1, pp. 41–84, 2001. [5] P. M. Fitts, “Factors in complex skill training,” Training research and education, pp. 177–197, 1965. [6] J. A. Michon, “A critical view of driver behavior models: what do we know, what should we do?,” in Human Behavior and Traffic Safety, Evans, Leonard and Schwing, RichardC., Ed. Springer US, pp. 485–524, 1985. [7] D. D. Salvucci and N. A. Taatgen, The multitasking mind. Oxford University Press, USA, pp. 70, 2010. [8] N. A. Taatgen and J. R. Anderson, “Constraints in Cognitive Architectures,” The Cambridge handbook of computational psychology, 2008. [9] Salvucci, D. D., Boer, E. R., and Liu, A., “Toward an integrated model of driver behavior in a cognitive architecture,” Transportation Research Record, vol. 1779, pp. 9–16, 2001 [10] Salvucci, D. D., &Macuga, K. L., “Predicting the effects of cellular-phone dialing on driver performance,” Cognitive Systems Research, vol. 3, pp. 95–102. [11] Salvucci, D. D., Liu, A. ,and Boer, E. R., “Control and monitoring during lane changes,” Vision in Vehicles, vol. 9, 2001. [12] Byrne, M. D., “ACT-R/PM and menu selection: Applying a cognitive architecture to HCI,” International Journal of Human Computer Studies, vol. 55, pp. 41–84, 2001. [13] Wilkie, R. M., and Wann, J. P., “Controlling steering and judging heading: Retinal flow, visual direction and extra-retinal information,” Journal of Experimental Psychology: Human Perception and Performance, vol. 29, pp. 363–378, 2003. [14] Matessa M., “An ACT-R Modeling Framework for Interleaving Templates of Human Behavior,” Proc. of the Twenty-sixth Annual Conference of the Cognitive Science Society, Chicago, IL., pp. 903- 908, 2004. [15] Liu Y. and Wu Z., “Comfortable Driver Behavior Modeling for Car Following of Pervasive Computing Environment,” International Conference on Computational Science (3), pp. 1068-1071, 2005. [16] Liu Y. and Wu Z., "Driver Behavior Modeling in ACT-R Cognitive Architecture," Journal of Zhejiang University 2006. [17] Liu Y. and Wu Z., “Multitasking Driver Cognitive Behavior Modeling,” Prof. of 3rd IEEE Conference on Intelligent Systems, London, 4-6 September, 2006. [18] Liu Y. and Wu Z., “Urgent Driver Behavior Modeling in Cognitive Architecture,” Proc. of 18th ICTCT Workshop, Helsinki, 27-28 October, 2005. [19] Liu Y. and Wu Z., “A Smart Car Control Model for Driver's Comfort of Car Following,” Proc. of IEEE Intelligent Vehicles Symposium, Las Vegas, pp. 833- 839, 2005. [20] A. Mihalyi, B. Deml, and T. Augustin, “A contribution to integrated driver modeling: A coherent framework for modeling both non-routine and routine elements of the driving task,” in Digital Human Modeling, Springer, pp. 433–442, 2009. [21] J. A. Bargh, K. L. Schwader, S. E. Hailey, R. L. Dyer, and E. J. Boothby, “Automaticity in social-cognitive processes,” Trends in cognitive sciences, 2012. [22] D. D. Salvucci and R. Gray, “A two-point visual control model of steering,” Perception-London, vol. 33, no. 10, pp. 1233–1248, 2004. [23] P. M. Fitts, “Factors in complex skill training,” Training research and education, pp. 177–197, 1965. [24] J. A. Michon, “A critical view of driver behavior models: what do we know, what should we do?,” in Human Behavior and Traffic Safety, Evans, Leonard and Schwing, RichardC., Ed. Springer US, pp. 485–524, 1985. [25] Land, M., and Horwood, J., “Which part of the road guide steering?,” Nature, vol. 3, no. 77, pp. 339-340, 1995. [26] Liu, Y., “Queuing network modeling of elementary mental processes,” Psychological Review, vol. 103, pp. 116-136, 1996. [27] Pomerlau, D., and Jochem T., “Rapidly adapting machine vision for automated vehicle steering,” IEEE Expert, vol. 112, no. 19-27, 1996. [28] C. Wu, and Y. Liu, “Queuing network modeling of the Psychological Refractory Period (PRP),” Psychological Review, vol. 115, no. 4, pp. 913-954, 2008. [29] D. T. McRuer, R. W. Allen, D. H. Weir, and R. H. Klein, “New results in driver steering control models,” Human Factors, vol. 19, no. 4, pp. 381-397, 1977. [30] M. Kondo and A. Ajimine, “Driver’s sight point and dynamics of the driver-vehicle system related to it,” Proceedings of the SAE automotive engineering congress, Detroit, MI, 1968. | ||
|
آمار تعداد مشاهده مقاله: 1,591 تعداد دریافت فایل اصل مقاله: 1,518 |
||