By Simon J. E. Taylor (eds.)
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Chicago, IL, 7À9 October. gov/pp 185À204. Macal CM (2009). Agent based modeling and artiﬁcial life. In: Meyers R (ed). Encyclopedia of Complexity and Systems Science. Springer: New York, pp 112À131 (ISBN 978-0-38775888-6). Macy MW and Willer R (2002). From factors to actors: Computational sociology and agent-based modeling. Ann Rev Sociol 28: 143À166. Marsh WE and Hill RR (2008). An initial agent behavior modeling and deﬁnition methodology as applied to unmanned aerial vehicle simulation. Int J Simul Process Model 4(2): 119À129.
ACM Trans Model Comp Simul 16(1): 1À25. North M et al (2009). Multi-scale agent-based consumer market modeling. Complexity 15: 37À47. North MJ and Macal CM (2007). Managing Business Complexity: Discovering Strategic Solutions with Agent-Based Modeling and Simulation. Oxford University Press: Oxford, UK. North MJ, Tatara E, Collier NT and Ozik J (2007). Visual agent-based model development with repast simphony. In: Macal C, Sallach D and North M (eds). Proceedings of Agent 2007: Conference on Complex Interaction and Social Emergence.
1. Langton would later take this research further and described that life, or the synthesis of life, exists only in class 4 systems, which is to say that life and similar complex systems exist between order and complete instability (Levy, 1992). 1 Cellular automata classiﬁcations Class Properties 1 Evolves to a homogeneous state, changes to the initial state has no impact on ﬁnal state Evolves into a set of simple periodic states, changes to the initial state has a ﬁnite regional Evolves into patterns that grow indeﬁnitely, changes to the initial state leads large changes to the ﬁnal state Evolves to complex localized patterns that expand and contract with time, changes to the initial state leads to irregular changes to ﬁnal state 2 3 4 Source: Wolfram (1994).