Activity tracking:

• A. Muzy, B.P. Zeigler, 2007, "Introduction to the Activity Tracking Paradigm in Component Based Simulation", The Open Cybernetics and Systemics Journal, 2:48-56. [pdf].
• A. Muzy, J.J. Nutaro, B.P. Zeigler, P. Coquillard, "Modeling and simulation of fire spreading through the activity tracking paradigm", Ecological Modelling, ISSN: 0304-3800, Vol. 219, Issue: 1, 212-225. [pdf].

Activity awareness:

• Herbert A. Simon, The Architecture of Complexity, Proceedings of the American Philosophical Society, Vol. 106, No. 6. (Dec. 12, 1962), pp. 467-482, [pdf].
• J.M. Unterrainer, A. M. Owen, Planning and problem solving: From neuropsychology to functional neuroimaging, Journal of Physiology - Paris 99 (2006) 308-317. [pdf].
• J.C. Dreher, Sensitivity of the brain to loss aversion during risky gambles, TRENDS in Cognitive Sciences Vol.11 No.7, 270-272. [pdf].
• G. Gigerenzer and D.G. Goldstein, Reasoning the Fast and Frugal Way: Models of Bounded Rationality, in Judgment and Decision Making, T. Connolly, Editor. 2000, Cambridge U. Press. [pdf].
• R. Montague, Your Brain Is (Almost) Perfect: How We Make Decisions, Plume; SCIE edition (September 25, 2007), 352 pps. [References].
• P. Carruthers, Massively Modular Mind Architecture, The Architecture of the Mind, Oxford University Press, USA 2006, 480 pps. [References].
• K. Sims, "Evolving Virtual Creatures", Computer Graphics (Siggraph '94 Proceedings), July 1994, pp.15-22. [pdf].
• A. Lopez Jaimes and C.A. Coello, An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology, in Applications of Computational Intelligence in Biology. Springer Berlin / Heidelberg, 2008 (DOI 10.1007/978-3-540-78534-7_4). [pdf].
• D.C. Parker, S.M. Manson, M. A.Janssen, M.J. Hoffmann, P. Deadman, Multi-Agent Systems for the Simulation of Land-Use and Land-Cover Change: A Review, Annals of the Association of American Geographers, Volume 93, Issue 2 June 2003 , pages 314-337. [pdf].
• A. Lopez Jaimes and C.A. Coello, An Introduction to Multi-Objective Evolutionary Algorithms and Some of Their Potential Uses in Biology, in Applications of Computational Intelligence in Biology. Springer Berlin / Heidelberg, 2008 (DOI 10.1007/978-3-540-78534-7_4). [pdf].
• B.P. Zeigler, A. Muzy, L. Yilmaz, 2007, "Artificial Intelligence in Modeling and Simulation". In Encyclopedia of Complexity and System Science, Heidelberg, Germany: Springer-Verlag. [pdf].
• B.P. Zeigler, 2004, Discrete Event Abstraction: An Emerging Paradigm For Modeling Complex Adaptive Systems, Perspectives on Adaptation in Natural and Artificial Systems, Essays in Honor of John Holland, Ed; Lashon Booker, Oxford University Press. [pdf].