Abstract
Individual based modeling is an alternative research method for ecologist that overcomes certain limitations of traditional techniques. This method simplifies hypothesis testing and analysis that may explain the dynamics and evolution of populations and/or ecological patterns. Ecological systems are so vast and complex that a unique tool for creation and use of these models would not be viable. Due to its nature, available tools are not easy to use by ecologist without expertise in computer programming. However, the main drawback of these tools is their lack of mechanisms to build true individual models. In order to cope with individualism we state six characteristics that we consider an IBM must comply with (when implemented under the multi-agent system paradigm). Finally, we propose a framework easy to use by ecologists for the modeling and simulation of ecosystems that complies with the characteristics mentioned above.
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Sansores, C.E., Reyes, F., Gómez, H.F., Molnár, O. (2011). On the Improvements of Computational Individualism of an IBM. In: Corchado, E., Snášel, V., Sedano, J., Hassanien, A.E., Calvo, J.L., Ślȩzak, D. (eds) Soft Computing Models in Industrial and Environmental Applications, 6th International Conference SOCO 2011. Advances in Intelligent and Soft Computing, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19644-7_56
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DOI: https://doi.org/10.1007/978-3-642-19644-7_56
Publisher Name: Springer, Berlin, Heidelberg
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