Abstract
A computational agent model for monitoring and control of a virtual human agent’s resources and exhaustion is presented. It models a physically grounded intelligent decision making process within the agent model for physical effort to be spent. Simulation results are discussed, and a formal analysis is presented on conditions under which the agent model functions properly, for example, such that it can be used to avoid running out of resources. The model is related to a model for monitoring or simulating a person’s heart rate. Finally some validation experiments are briefly discussed.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Bosse T, Both F, van Lambalgen R, Treur J (2008) An agent model for a human’s functional state and performance. In: Jain L, Gini M, Faltings BB, Terano T, Zhang C, Cercone N, Cao L (eds) Proceedings of the 8th IEEE/WIC/ACM international conference on intelligent agent technology, IAT’08. IEEE Comput Soc Press, Los Alamitos, pp 302–307
Both F, Hoogendoorn M, Jaffry SW, van Lambalgen R, Oorburg R, Sharpanskykh A, Treur J, de Vos M (2009) Adaptation and validation of an agent model of functional state and performance for individuals. In: Yang J-J, Yokoo M, Ito T, Jin Z, Scerri P (eds) Proceedings of the 12th international conference on principles of practice in multi-agent systems, PRIMA’09. Lecture notes in artificial intelligence, vol. 5925. Springer, Berlin, pp 595–607
Cannon WB (1932) The wisdom of the body. Norton, New York
Clark A (1997) Being there: putting brain body and world together again. MIT Press, Cambridge
Coats EM, Rossiter HB, Day JR, Miura A, Fukuba Y, Whipp BJ (2003) Intensity-dependent tolerance to exercise after attaining VO2max in humans. J Appl Physiol 95:483–490
Damasio A (1999) The feeling of what happens: body, emotion and the making of consciousness. MIT Press, Cambridge
Fukuba Y, Whipp BJ (1999) A metabolic limit on the ability to make up for lost time in endurance events. J Appl Physiol 87:853–861
Fukuba Y, Miura A, Endo M, Kan A, Yanagawa K, Whipp BJ (2003) The curvature constant parameter of the power-duration curve for varied-power exercise. Med Sci Sports Exerc 35:1413–1418
Henritze J, Weltman A, Schurrer RL, Barlow K (1985) Effects of training at and above the lactate threshold on the lactate threshold and maximal oxygen uptake. Eur J Appl Physiol Occup Physiol 54:84–88
Hill AV, Long CNV, Lupton H (1924) Muscular exercise, lactic acid, and the supply and utilisation of oxygen. Proc R Soc Bri 97(I–III):438–475
Hill AV, Long CNV, Lupton H (1924) Muscular exercise, lactic acid, and the supply and utilisation of oxygen. Proc R Soc Bri 97(VII–VIII):155–176
Hill DW (1993) The critical power concept. Sports Med 16:237–254
Jones AM, Wilkerson DP, DiMenna F, Fulford J, Poole DC (2008) Muscle metabolic responses to exercise above and below the ‘critical power’ assessed using 31P-MRS. Am J Physiol Regul Integr Comp Physiol 294:585–593
Lambert EV, St Clair Gibson A, Noakes TD (2005) Complex systems model of fatigue: integrative homoeostatic control of peripheral physiological systems during exercise in humans. Br J Sports Med 39:52–62
Noakes TD (2000) Physiological models to understand exercise fatigue and the adaptations that predict or enhance athletic performance. Scand J Med Sci Sports 10:123–145
Sorenson HW (1980) Parameter estimation: principles and problems. Dekker, New York
Stasiulis A, Ančlauskas R, Jaščanin J (2000) The effects of training intensity on blood lactate breakpoints in runners. J Hum Kinet 3:17–26
Steels L, Brooks R (1995) The artificial life route to artificial intelligence: building embodied, situated agents. Erlbaum, Hillsdale
Wilmore JH, Costill DL (2004) Physiology of sport and exercise. Human Kinetics, Champaign
Author information
Authors and Affiliations
Corresponding author
Additional information
A preliminary, shorter version of this paper was included as a full paper in the IEA/AIE’09 conference.
Rights and permissions
Open Access This is an open access article distributed under the terms of the Creative Commons Attribution Noncommercial License (https://creativecommons.org/licenses/by-nc/2.0), which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.
About this article
Cite this article
Treur, J. A virtual human agent model with behaviour based on feeling exhaustion. Appl Intell 35, 469–482 (2011). https://doi.org/10.1007/s10489-010-0237-0
Published:
Issue Date:
DOI: https://doi.org/10.1007/s10489-010-0237-0