"Walking Ant in the Rain" model: Microscopic complexity in a general decision-based system

Authors

Marcelino Quito Jr. National Institute of Physics, University of the Philippines Diliman
Christopher Monterola National Institute of Physics, University of the Philippines Diliman
Caesar Saloma National Institute of Physics, University of the Philippines Diliman

Abstract

We show a model that represents a general decision-based complex system (DBCS). DBCS can be found in many different fields of study from the natural sciences to the social sciences. The model uses a "fight or flight" mechanism where the agent is exposed to the same obstacles at random times and at random places. Memory of previous encounters is provided to the agent to allow for different "strategies" in agent response. Simulation of the model showed that for choices with equal probabilities ofsuccess, agents segregate into groups were decisions are made using extreme interpretation of memory. This shows that complexity in DBCS is not limited to system behavior (macroscopic complexity) but also in agent interaction (microscopic complexity).

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Issue

2001: Proceedings of the 19th Samahang Pisika ng Pilipinas Philippine Physics Congress

Article ID

SPP-2001-W2B-1

Section

Complex Systems

Published

2001-10-24

How to Cite

[1]

M Quito, C Monterola, and C Saloma, "Walking Ant in the Rain" model: Microscopic complexity in a general decision-based system, Proceedings of the Samahang Pisika ng Pilipinas 19, SPP-2001-W2B-1 (2001). URL: https://proceedings.spp-online.org/article/view/SPP-2001-W2B-1.