Revolution on Traditional TRIZ Towards DIKWP-TRIZ for Artificial Consciousness Innovation

Traditional TRIZ (Theory of Inventive Problem Solving) is a systematic method widely used in technical and engineering fields. However, it shows limitations when addressing complex issues such as modern data management, information processing, knowledge integration, and ethical decision-making. This paper proposes the DIKWP-TRIZ model, which combines TRIZ with the DIKWP (Data, Information, Knowledge, Wisdom, Purpose) framework, introducing new principles and methods to enhance the innovation and problem-solving capabilities of AC systems. Compared to traditional TRIZ, DIKWP-TRIZ demonstrates significant advantages in multidimensional cognitive processing, semantic transformation, and purpose-driven innovation. This paper provides a detailed comparison between DIKWP-TRIZ and traditional TRIZ in terms of coverage completeness and redundancy issues, offering new insights and practical guidance for innovation in complex cognitive systems.