A framework for extending co-creative communication models to sustainability research.

IF 3 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Frontiers in Artificial Intelligence Pub Date : 2024-08-05 eCollection Date: 2024-01-01 DOI:10.3389/frai.2024.1236310
Guanhong Li, Xiaoyun Guo
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Abstract

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.

将共同创造交流模式扩展到可持续发展研究的框架。
联合国可持续发展目标(SDGs)是一项挑战,因为这些目标可能相互冲突,从而阻碍了目标的有效实施。为了解决复杂的可持续发展问题,需要一个既能捕捉各种可持续发展问题的特殊性,又能提供适用于各种情况的通用方法的框架。共同创造性交流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,共创交流的建设性方法(CCC)研究,特别是那些采用人工智能(AI)方法(如计算社会科学和创新研究)的研究,对于可持续发展的理论研究和应用研究都具有重要价值。然而,现有的 CCC 框架无法直接应用于可持续发展研究。这项工作通过提出一个框架来弥补这一差距,该框架概述了一种从传播角度建立可持续发展正式定义的一般方法。这种方法可以将 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交流的社会功能以及创新过程与系统可持续性之间的互动。可以得出的结论是,应用我们的框架可以将 CCC 的成果直接应用于可持续发展研究。因此,来自不同学科的研究人员能够根据自己的特定关注点,建立自己对可持续性的具体定义。我们的框架为未来采用 CCC 的可持续发展研究奠定了基础,有助于将 CCC 的见解融入可持续发展研究和应用中。基于分布式人工智能和自组织网络等人工智能技术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,本文提出的共同创造交流在社会可持续发展中的功能作用,为未来讨论共同创造交流的进化适应性提供了一个新的视角。
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
CiteScore
6.10
自引率
2.50%
发文量
272
审稿时长
13 weeks
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