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Considerations in Analyzing Ecological Dependent Populations in a Changing Environment

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Computational Collective Intelligence (ICCCI 2017)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 10448))

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Abstract

Simulation is often used during the development of a system to study the performance of a trial design. On the basis of information gained through this process, the design may be modified and retested. Thus, software offers the convenience of introducing changes or fixes without major effort, whereas it could be quite difficult or even impossible to modify an already built hardware for instance. Moreover, scenarios exist where a simulation offers not only the cheaper, but also the safer and ethically more acceptable solution as is the case with nearly any experiment involving live organisms. This paper summarizes the work done on the subject of simulating the dynamics between populations of various organisms that share an environment. The main goal is to introduce an application that visualizes comprehensively their interaction while offering means to conduct experiments with ecological nature.

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References

  1. Eiben, A.E., Smith, J.E.: Introduction to Evolutionary Computing. Springer, Heidelberg (2015)

    Book  Google Scholar 

  2. Law, A.M., David, K.W.: Simulation Modeling and Analysis. McGraw-Hill Higher Education, Boston (1997)

    Google Scholar 

  3. Begon, M., Mortimer, M., Thompson, D.J.: Population Ecology: A Unified Study of Animals and Plants. Wiley-Blackwell, Oxford (1996)

    Book  Google Scholar 

  4. Warschat, J., Wagner, F.: Einführung in die Simulationstechnik. http://www.iat.uni-stuttgart.de/lehre/lehrveranstaltungen/skripte/simulation/AltesSimulationsSkript.pdf. Accessed 22 Mar 2017

  5. Dewdney, A.K.: Solutions périodiques, du computer recreations: sharks and fish wage an ecological war on the toroidal planet Wa-Tor. Scientific American (1984)

    Article  Google Scholar 

  6. Norris, J.S.: Mission-critical development with open source software: lessons learned. IEEE Softw. 21(1), 42–49 (2004)

    Article  Google Scholar 

  7. Hoppensteadt, F.: Predator-prey model. Scholarpedia 1(10), 1563 (2006)

    Article  Google Scholar 

  8. Connelly, B.D., Zaman, L., McKinley, P.K.: The SEEDS platform for evolutionary and ecological simulations. In: Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation, GECCO 2012, pp. 133–140. ACM (2012)

    Google Scholar 

  9. Gardner, M.: Mathematical Games - the fantastic combinations of John Conway’s new solitaire game “life”. Sci. Am. 223, 120–123 (1970)

    Article  Google Scholar 

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Correspondence to Kristiyan Balabanov .

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Balabanov, K., Fietz, R.G., Logofătu, D. (2017). Considerations in Analyzing Ecological Dependent Populations in a Changing Environment. In: Nguyen, N., Papadopoulos, G., Jędrzejowicz, P., Trawiński, B., Vossen, G. (eds) Computational Collective Intelligence. ICCCI 2017. Lecture Notes in Computer Science(), vol 10448. Springer, Cham. https://doi.org/10.1007/978-3-319-67074-4_22

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  • DOI: https://doi.org/10.1007/978-3-319-67074-4_22

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67073-7

  • Online ISBN: 978-3-319-67074-4

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