Abstract
We describe the model and the software implementation of population of simple cognitive agents, naïve creatures experiencing fear and/or desire while learning to cross a highway. The creatures use an observational learning mechanism for adoption or rejection of a strategy to cross the highway. Presented simulation results are consistent with the fact that crossing a highway becomes more difficult with increase of cars density and it is affected by the creatures’ fears and desires. The transfer the knowledge base acquired in one environment to another one combined with creatures ability to change a crossing point improves creatures success of crossing a highway.
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References
Bajracharya, M., Maimone, M.W., Helmick, D.: Autonomy for mars rovers: Past, present, and future. IEEE Computer 41(12), 44–50 (2008)
Ferber, J.: Multi-Agent Systems. An Introduction to Distributed Artificial Intelligence. Addison Wesley, London (1999)
Wooldridge, M.: An Introduction to MultiAgent Systems. John Wiley & Sons, Ltd., Chichester (2009)
Uhrmacher, A.M., Weyns, D.: Multi-Agent Systems Simulation and Applications. CRC Press, Taylor & Francis Group, Boca Raton, Fl. (2009)
Alonso, E., d’Inverno, M., Kudenko, D., Luck, M., Noble, J.: Learning in multi-agent systems. Knowledge Engineering Review 16(3), 277–284 (2001)
Lawniczak, A.T., Di Stefano, B.N.: Computational intelligence based architecture for cognitive agents. In: Proc. of ICCS 2010, Amsterdam, Holland, May 31-June 2. Elsevier Procedia Computer Science, vol. 1(1), pp. 2221–2229 (2010)
Lawniczak, A.T., Ernst, J.B., Di Stefano, B.N.: Simulated Naïve Creature Crossing a Highway. Procedia Computer Science 18, 2611–2614 (2013)
Lawniczak, A.T., Ernst, J.B., Di Stefano, B.N.: Improved Performance of Naïve Creature Learning to Cross a Highway. In: IEEE CCECE 2014, May 4-7, pp. 1269–1274 (2014)
Nagel, K., Schreckenberg, M.: A cellular automaton model for freeway traffic. J. Physique I 2, 2221–2229 (1992)
Lawniczak, A.T., Di Stefano, B.N.: Digital Laboratory of Agent-Based Highway Traffic Model. Acta Physica Polonica B Proc. Supplement 3(2), 479–493 (2010)
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Lawniczak, A.T., Di Stefano, B.N., Ernst, J.B. (2014). Software Implementation of Population of Cognitive Agents Learning to Cross a Highway. In: Wąs, J., Sirakoulis, G.C., Bandini, S. (eds) Cellular Automata. ACRI 2014. Lecture Notes in Computer Science, vol 8751. Springer, Cham. https://doi.org/10.1007/978-3-319-11520-7_73
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DOI: https://doi.org/10.1007/978-3-319-11520-7_73
Publisher Name: Springer, Cham
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