A Contemporary Overview of the History and Applications of Artificial Life
Automation, Control and Intelligent Systems
Volume 3, Issue 1, February 2015, Pages: 6-10
Received: Feb. 3, 2015; Accepted: Feb. 21, 2015; Published: Mar. 2, 2015
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Authors
Jamaluddin Mir, SIT Department, the University of Lahore, Islamabad, Pakistan
Majid Mehmood, Computer Science Department, University of Gujrat, Sialkot, Pakistan
Malik Touqir Anwar, SIT Department, the University of Lahore, Islamabad, Pakistan
M. Yaqoob Wani, SIT Department, the University of Lahore, Islamabad, Pakistan
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Abstract
The study of man-made systems which demonstrate certain behaviors that are found to be distinctive characters of natural living systems, found in nature, is called Artificial Life. Artificial life supplements the classic biological science which is focused on the investigation of living organisms by trying to produce life-like characteristics in computer and other such machines. Artificial life is focused on developing an understanding of the fundamental doctrines of life by either creating life-like characteristics in simulations created by computers or by actual physical implementations. Though, the aim of artificial life is concentrated towards both the future and origin of biology, yet the complexity of the subject area requires involvement of other fields of science. The practical as well as the scientific impact of the field of artificial life are equally far reaching.
Keywords
Artificial Life, Artificial Intelligence, Evolution, Cybernetics, Tierra, Self-Replicating Systems
To cite this article
Jamaluddin Mir, Majid Mehmood, Malik Touqir Anwar, M. Yaqoob Wani, A Contemporary Overview of the History and Applications of Artificial Life, Automation, Control and Intelligent Systems. Vol. 3, No. 1, 2015, pp. 6-10. doi: 10.11648/j.acis.20150301.12
References
[1]
von Neumann, J. (1951). “The general and logical theory of automata,” in Cerebral Mechanisms in Behavior-The Hixon Symposium, 1948 (Pasadena CA: Wiley), 1–41.
[2]
von Neumann, J. (1966). The Theory of Self-Reproducing Automata. Champaign, IL: University of Illinois Press.
[3]
Mange, D., Stauffer, A., Peparola, L., and Tempesti, G. (2004). “A macroscopic view of self-replication,” in Proceedings of the IEEE, Number 12. IEEE. 1929–1945.
[4]
Langton, C. G. (1984). Self-reproduction in cellular automata. Physica D 10, 135–144. doi:10.1016/0167-2789(84)90256-2.
[5]
Wiener, N. (1948). Cybernetics: Or, Control and Communication in the Animal and the Machine. New York, NY: Wiley and Sons.
[6]
Gershenson, C., Csermely, P., Erdi, P., Knyazeva, H., and Laszlo, A. (2014). The past, present and future of cybernetics and systems research. Systema. 1, 4–13.
[7]
Ashby, W. R. (1947a). The nervous system as physical machine: with special reference to the origin of adaptive behavior.Mind 56, 44–59. doi:10.1093/mind/LVI.221.44
[8]
Varela, F. J., Maturana, H. R., and Uribe, R. (1974). Autopoiesis: the organization of living systems, its characterization and a model. Biosystems 5, 187–196. doi:10.1016/0303-2647(74)90031-8
[9]
Rasmussen, S., Chen, L., Nilsson, M., and Abe, S. (2003). Bridging nonliving and living matter. Artif. Life 9, 269–316. doi:10.1162/106454603322392479
[10]
Bourgine, P., and Varela, F. J. (1992). “Introduction: towards a practice of autonomous systems,” in Toward a Practice of Autonomous Systems: Proceedings of the First European Conference on Artificial Life, eds F. J. Varela and P. Bourgine (Cambridge, MA: MIT Press), xi–xvii.
[11]
Maturana, H., and Varela, F. (1980). Autopoiesis and Cognition: The Realization of Living. Dordrecht: Reidel Publishing Company.
[12]
Haken, H. (1981). “Synergetics and the problem of selforganization,” in Self-Organizing Systems: An Interdisciplinary Approach, eds G. Roth and H. Schwegler (New York, NY: Campus Verlag), 9–13.
[13]
Camazine, S., Deneubourg, J.-L., Franks, N. R., Sneyd, J., Theraulaz, G., and Bonabeau, E. (2003). Self-Organization in Biological Systems. Princeton, NJ: Princeton University Press.
[14]
Gershenson, C., and Heylighen, F. (2003). “When can we call a system self-organizing?,” in Advances in Artificial Life, 7th European Conference, ECAL 2003 LNAI 2801, eds W. Banzhaf, T. Christaller, P. Dittrich, J. T. Kim, and J. Ziegler (Berlin: Springer), 606–614.
[15]
Gershenson, C. (2007). Design and Control of Self-Organizing Systems. Mexico City: CopItArxives.
[16]
Packard, N. (1986). “Lattice models for solidification and aggregation,” in Theory and Application of Cellular Automata, ed. S. Wolfram (Tokyo: World Scientific, Institute for Advanced Study Preprint), 305–310.
[17]
Reynolds, C. W. (1987). Flocks, herds, and schools: a distributed behavioral model. Comput. Graph. 21, 25–34. doi:10.1145/37402.37406
[18]
Vicsek, T., and Zafeiris, A. (2012). Collective motion. Phys. Rep. 517, 71–140. doi:10.1016/j.physrep.2012.03.004
[19]
Williams, H. T. P. (2006). Homeostatic Adaptive Networks. PhD thesis. Leeds, UK: University of Leeds.
[20]
Brooks, R. A. (1991). Intelligence without representation. Artif. Intell. 47, 139–160. doi:10.1016/0004-3702(91)90053-M.
[21]
Holland, J. H. (1975). Adaptation in Natural and Artificial Systems. Cambridge, MA: The University of Michigan Press.
[22]
Gilbert, N., and Conte, R. (eds) (1995). Artificial Societies: The Computer Simulation of Social Life. Bristol, PA: Taylor & Francis, Inc.
[23]
Grand, S. (2001). Creation: Life and How to Make it. Cambridge, MA: Phoenix.
[24]
Burke, E. K., Kendall, G., Aickelin, U., Dasgupta, D., and Gu, F. (2014). “Artificial immune systems,” in Search Methodologies, eds E. K. Burke and G. Kendall (Springer), 187–211.
[25]
Plsek, P. E., &Greenhalgh, T. (2001). The challenge of complexity in health care. Bmj, 323(7313), 625-628.
[26]
Bauer, D. C., Cannady, J., & Garcia, R. C. (2001). Detecting anomalous behavior: optimization of network traffic parameters via an evolution strategy. In SoutheastCon 2001. Proceedings. IEEE (pp. 34-39). IEEE.
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