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Ants, robots, humans: a self-organizing, goal-driven modeling approach

2020-09-21 15:52:25
Martin Jaraiz
arXiv_RO
         
Abstract

Most of the grand challenges of humanity today involve complex agent-based systems, such as epidemiology, economics or ecology. However, remains as a pending task the challenge of identifying the general principles underlying the self-organizing capabilities of those complex systems. This article presents a novel modeling approach capable to self-deploy both the system structure and the activities for goal-driven agents that can take appropriate actions to achieve their goals. Humans, robots, and animals are all endowed with this type of behavior. Self-organization is shown to emerge from the decisions of a common rational activity algorithm based on the information of a system-specific goals dependency network. The unique self-deployment feature of this systematic approach can boost considerably the range and depth of application of agent-based modeling.

Abstract (translated)

URL

https://arxiv.org/abs/2009.10823

PDF

https://arxiv.org/pdf/2009.10823.pdf

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