论文标题
人工智能代理商对环境极端的合作控制
Cooperative control of environmental extremes by artificial intelligent agents
论文作者
论文摘要
人类已经能够通过充当生态系统工程师来解决生物圈复杂性，从而深刻地改变了物质，能量和信息的流量。这包括允许减少和控制极端事件影响的主要创新。鉴于可能涉及的个人和环境变量，建模这种自适应动力学的演变可能会具有挑战性。本文展示了如何通过使用火作为外部，爆发和广泛波动的来源来解决此问题。大火在空间景观上繁殖，一组特工会收获和利用树木，同时避免了火灾蔓延的破坏作用。代理商需要解决冲突以达到群体水平的最佳状态：在收获树木的同时减少火灾的传播，但也降低了树木提供的资源的可用性。结果表明，该系统将展示两项主要的进化创新，最终以一种有利于高生物量的生态工程策略以及抑制大火的生态工程策略。对潜在AI的影响讨论了复杂生态系统的管理。
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 paper shows how to address this problem by using fire as the source of external, bursting and wide fluctuations. Fire propagates on a spatial landscape where a group of agents 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 A.I. management of complex ecosystems are discussed.
