Li Guanhong, Guo Xiaoyun
Department of Global Tourism, Faculty of Global Engagement, Kyoto University of Foreign Studies, Kyoto, Japan.
Independent Researcher, Kyoto, Japan.
Front Artif Intell. 2024 Aug 5;7:1236310. doi: 10.3389/frai.2024.1236310. eCollection 2024.
The UN Sustainable Development Goals (SDGs) present a challenge due to their potential for conflicting objectives, which hinders their effective implementation. In order to address the complexity of sustainability issues, a framework capable of capturing the specificity of diverse sustainability issues while offering a common methodology applicable across contexts is required. Co-creative communication can be regarded as a key source of uncertainty within functional systems, as it can be instrumental in realizing and sustaining sustainability. In this regard, the studies in Constructive approaches to Co-creative Communication (CCC), particularly those employing artificial intelligence (AI) methodologies such as computational social science and innovation studies, hold significant value for both theoretical and applied sustainability research. However, existing CCC frameworks cannot be directly applied to sustainability research. This work bridges this gap by proposing a framework that outlines a general approach to establishing formalized definitions of sustainability from the lens of communication. This approach enables the direct application of CCC models to sustainability studies. The framework is based on systems theory and the methodologies of artificial intelligence, including computational/symbolic modeling and formal methods. This framework emphasizes the social function of co-creative communication and the interaction between the innovation process and the sustainability of the system. It can be concluded that the application of our framework enables the achievements of CCC to be directly applied to sustainability research. Researchers from different disciplines are therefore able to establish their own specific definitions of sustainability, which are tailored to their particular concerns. Our framework lays the groundwork for future sustainability studies that employs CCC, facilitating the integration of CCC insights into sustainability research and application. The outcomes of computational creativity research based on AI technologies, such as distributed artificial intelligence and self-organizing networks, can deepen the understanding of sustainability mechanisms and drive their practical applications. Furthermore, the functional role of co-creative communication in societal sustainability proposed in this work offers a novel perspective for future discussions on the evolutionary adaptation of co-creative communication.
联合国可持续发展目标（SDGs）因其目标可能相互冲突而带来了挑战，这阻碍了其有效实施。为应对可持续性问题的复杂性，需要一个能够把握各种可持续性问题的特殊性，同时提供适用于不同情境的通用方法的框架。共同创造式沟通可被视为功能系统内不确定性的一个关键来源，因为它有助于实现和维持可持续性。在这方面，关于共同创造式沟通的建设性方法（CCC）的研究，尤其是那些采用计算社会科学和创新研究等人工智能方法的研究，对理论和应用可持续性研究都具有重要价值。然而，现有的CCC框架不能直接应用于可持续性研究。这项工作通过提出一个框架来弥合这一差距，该框架概述了一种从沟通角度建立可持续性形式化定义的一般方法。这种方法能够将CCC模型直接应用于可持续性研究。该框架基于系统理论和人工智能方法，包括计算/符号建模和形式化方法。该框架强调共同创造式沟通的社会功能以及创新过程与系统可持续性之间的相互作用。可以得出结论，我们框架的应用能够使CCC的成果直接应用于可持续性研究。因此，来自不同学科的研究人员能够建立适合其特定关注点的自身可持续性具体定义。我们的框架为未来采用CCC的可持续性研究奠定了基础，促进了CCC见解融入可持续性研究和应用。基于人工智能技术（如分布式人工智能和自组织网络）的计算创造力研究成果，可以加深对可持续性机制的理解并推动其实际应用。此外，这项工作中提出的共同创造式沟通在社会可持续性中的功能作用，为未来关于共同创造式沟通的进化适应性讨论提供了一个新视角。
