Cooperative control of environmental extremes by artificial intelligent agents.

IF 3.7 2区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES
Journal of The Royal Society Interface Pub Date : 2024-11-01 Epub Date: 2024-11-06 DOI:10.1098/rsif.2024.0344
Martí Sánchez-Fibla, Clément Moulin-Frier, Ricard Solé
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引用次数: 0

Abstract

Humans have been able to tackle biosphere complexities by acting as ecosystem engineers, profoundly changing the flows of matter, energy and information. This includes major innovations that allowed to reduce and control the impact of extreme events. Modelling the evolution of such adaptive dynamics can be challenging, given the potentially large number of individual and environmental variables involved. This article shows how to address this problem by using fire as the source of extreme events. We implement a simulated environment where fire propagates on a spatial landscape, and a group of artificial agents learn how to harvest and exploit trees while avoiding the damaging effects of fire spreading. The agents need to solve a conflict to reach a group-level optimal state: while tree harvesting reduces the propagation of fires, it also reduces the availability of resources provided by trees. It is shown that the system displays two major evolutionary innovations that end up in an ecological engineering strategy that favours high biomass along with the suppression of large fires. The implications for potential artificial intelligence management of complex ecosystems are discussed.

人工智能代理对极端环境的合作控制。
人类作为生态系统的工程师,深刻改变了物质、能量和信息的流动,从而能够应对生物圈的复杂性。其中包括能够减少和控制极端事件影响的重大创新。鉴于可能涉及大量的个体和环境变量,对这种适应性动态演化进行建模可能具有挑战性。本文展示了如何利用火灾作为极端事件的源头来解决这一问题。我们建立了一个模拟环境,在这个环境中,火灾在空间景观上传播,一群人工代理学习如何收获和利用树木,同时避免火灾蔓延的破坏性影响。这些代理需要解决冲突,以达到群体层面的最优状态:采伐树木可以减少火灾的传播,但同时也会减少树木提供的资源。研究表明,该系统在进化过程中出现了两大创新,最终形成了有利于高生物量和抑制大火的生态工程战略。本文讨论了人工智能管理复杂生态系统的潜在意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Journal of The Royal Society Interface
Journal of The Royal Society Interface 综合性期刊-综合性期刊
CiteScore
7.10
自引率
2.60%
发文量
234
审稿时长
2.5 months
期刊介绍: J. R. Soc. Interface welcomes articles of high quality research at the interface of the physical and life sciences. It provides a high-quality forum to publish rapidly and interact across this boundary in two main ways: J. R. Soc. Interface publishes research applying chemistry, engineering, materials science, mathematics and physics to the biological and medical sciences; it also highlights discoveries in the life sciences of relevance to the physical sciences. Both sides of the interface are considered equally and it is one of the only journals to cover this exciting new territory. J. R. Soc. Interface welcomes contributions on a diverse range of topics, including but not limited to; biocomplexity, bioengineering, bioinformatics, biomaterials, biomechanics, bionanoscience, biophysics, chemical biology, computer science (as applied to the life sciences), medical physics, synthetic biology, systems biology, theoretical biology and tissue engineering.
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