This paper investigates the idea of cultivated wildness at the intersection of landscape design and artificial intelligence. The paper posits that contemporary landscape practices should overcome the potentially single understanding on wilderness, and instead explore landscape strategies to cultivate new forms of wild places via ideas and concerns in contemporary Environmental Humanities, Science and Technology Studies, Ecological Sciences, and Landscape Architecture. Drawing cases in environmental engineering, computer science, and landscape architecture research, this paper explores a framework to construct wild places with intelligent machines. In this framework, machines are not understood as a layer of "digital infrastructure" that is used to extend localized human intelligence and agency. Rather machines are conceptualized as active agents who can participate in the intelligence of co-production. Recent developments in cybernetic technologies such as sensing networks, artificial intelligence, and cyberphysical systems can also contribute to establishing the framework. At the heart of this framework is "technodiversity," in parallel with biodiversity, since a singular vision on technological development driven by optimization and efficiency reinforces a monocultural approach that eliminates other possible relationships to construct with the environment. Thus, cultivated wildness is also about recognizing "wildness" in machines.

翻译：本文探讨了在景观设计与人工智能交叉领域中“培育的野性”这一概念。论文指出，当代景观实践应超越对荒野可能存在的单一理解，转而借助当代环境人文学、科学技术研究、生态科学以及景观建筑学中的理念与关切，探索培育新型野性场所的景观策略。通过借鉴环境工程、计算机科学和景观建筑学研究中的案例，本文构建了一个利用智能机器营造野性场所的框架。在该框架中，机器并非被理解为用以延伸局部化人类智能与能动性的“数字基础设施”层，而是被概念化为能够参与协同生产智能的积极行动者。传感网络、人工智能、信息物理系统等控制论技术的最新发展，也有助于这一框架的建立。该框架的核心是“技术多样性”——与生物多样性并行——因为受优化与效率驱动的单一技术发展愿景，强化了一种消除其他与环境构建可能关系的单一文化路径。因此，培育的野性也关乎对机器中“野性”的认知。