How Does Logical Dynamics Assist Interdisciplinary Education and Research in Addressing Cognitive Challenges?

Mengqin Ning, Jiahong Guo

In today's rapidly changing and challenging world, complex interdisciplinary issues continue to emerge, such as environmental sustainability and artificial intelligence-driven adaptive learning. Understanding and resolving these problems require individuals to integrate knowledge, methodologies, and diverse ways of thinking. Within this problem-oriented process, the importance and potential necessity of interdisciplinary education and research become self-evident. However, how can we better promote interdisciplinary communication in the sense of transdisciplinary notions? This is a systematic endeavor involving multiple aspects, including cognition, methodology, team collaboration, and policy formulation. This paper focuses primarily on the cognitive level, first conducting an in-depth analysis of the cognitive challenges faced during interdisciplinary cooperation and communication. In response to these challenges, the paper introduces Logical Dynamics (a theoretical framework) and Dynamic Epistemic Logic (a formal tool). From three dimensions—perspective transformation, cognitive representation, and educational application—the article elaborates on "how Logical Dynamics provides guidance for interdisciplinary education and research at the level of cognitive thinking. "Moreover, artificial intelligence has been deeply integrated into interdisciplinary communication. Under the guidance of Logical Dynamics, AI can more accurately articulate problems and facilitate the generation of more creative solutions among interdisciplinary participants.

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