Abstract
A multi-agent system is developed to simulate the emergency of collective behavioral patterns in a foraging model based on the “Ant Foraging Model” made in NetLogo®. Two kind of agents are implemented, secure and selfish, and they are modeled considering the attachment theory, which describes the dynamics of long-term relationships between humans and establishes specific behavioral patterns. 100 simulations are developed varying the amount of selfish and secure agents, the results show that secure agents are more collaborative than selfish ones and the steps of simulation substantially decrease when secure agents are most than selfish agents.
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© 2015 Springer International Publishing Switzerland
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Varela, C.A.R., Velandia, F.B., Rey, M.A.M., Romero, N.G., Neira, N.O. (2015). Foraging Multi-Agent System Simulation Based on Attachment Theory. In: Sanayei, A., E. Rössler, O., Zelinka, I. (eds) ISCS 2014: Interdisciplinary Symposium on Complex Systems. Emergence, Complexity and Computation, vol 14. Springer, Cham. https://doi.org/10.1007/978-3-319-10759-2_36
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DOI: https://doi.org/10.1007/978-3-319-10759-2_36
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-10758-5
Online ISBN: 978-3-319-10759-2
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