Abstract
Agent-based models approximate the behaviour of simple natural and man-made systems. We present a simple cognitive agent capable of evaluating if a strategy has been applied successfully and capable of applying this strategy again with small changes to a similar but new situation. We describe some experimental results, present our conclusions, and outlines future work. © 2012 Springer-Verlag Berlin Heidelberg.
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Lawniczak, A. T., Ernst, J. B., & Di Stefano, B. N. (2012). Creature learning to cross a CA simulated road. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7495 LNCS, pp. 425–433). Springer Verlag. https://doi.org/10.1007/978-3-642-33350-7_44
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