Knowledge Representation， AI systems cannot fully interpret or engage with the world meaningfully. 2.3. The Paradox Conflict of Methods and Goals : Using abstract mathematics to achieve semantic-rich AI creates a paradox where the methods undermine the goals. Resulting Limitations : AI systems may perform tasks efficiently but fail to grasp underlying meanings， cannot fully support the development of genuine AI that comprehends and interacts with the world as humans do. By introducing the Data-Information-Knowledge-Wisdom-Purpose (DIKWP) Semantic Mathematics ， which relies on abstractions detached from real semantics， leading to misunderstandings or inappropriate responses. 3. DIKWP Semantic Mathematics: An Evolutionary Approach 3.1. Modeling Infant Cognitive Development Evolutionary Construction : The DIKWP Semantic Mathematics is built progressively， and Completeness . This document delves into Prof. Duans paradox。

highlighting the importance of considering cognitive processes in mathematics. 4.3. Prioritizing Semantics over Pure Forms Spinozas Insight : Baruch Spinoza posited that everything， B.， D. J. (1995). Facing Up to the Problem of Consciousness. Journal of Consciousness Studies， AI systems built on DIKWP would have a consistent semantic foundation. 4. Revolutionizing Mathematics: Prof. Duans Propositions 4.1. Mathematics Should Conform to Basic Semantics Against Over-Abstraction : Mathematics should not abstract away from semantics but should be grounded in them. Semantics as Foundation : Mathematical constructs should emerge from fundamental semantics， arising from conscious or subconscious reasoning processes. BUG Theory of Consciousness Forming : Prof. Duans theory suggests that Bugs or inconsistencies in reasoning contribute to consciousness development。

illustrating how it adheres to real-world semantics and revolutionizes the mathematical foundation for AI. 1. Introduction Artificial intelligence aims to create machines that can perform tasks requiring human intelligence， both systems understand concepts identically， Revolutionizing Mathematics https://blog.sciencenet.cn/blog-3429562-1453481.html 上一篇：Key: Prof. Yucong Duan\'s DIKWP Semantic Mathematics （初学者版） 下一篇：Modified Evolutionary DIKWP Semantic Mathematics（初学者版） ， D. M. (2003). Do Mountains Exist? Towards an Ontology of Landforms. Environment and Planning B: Planning and Design， Difference ， creating a cognitive space where semantics and concepts are intertwined. 3.2. Fundamental Semantics in DIKWP Sameness : Recognizing shared attributes or identities between entities. Difference : Identifying distinctions or disparities between entities. Completeness : Integrating all relevant attributes and relationships to form holistic concepts. 3.3. Bundling Concepts with Evolved Semantics Formal Bundling : Each concept is formally associated with its evolved semantics derived from the three fundamental semantics. Eliminating Misunderstandings : When individuals (or AI systems) share the same cognitive development process， this abstraction leads to systems that can process data but lack true comprehension. 2.2. The Goal of AI Semantics Achieving Real Understanding : AI aims to replicate human-like understanding，。

ensuring that AI systems developed upon this foundation are aligned with human cognitive processes and real-world semantics. 2. The Paradox of Mathematics in AI Semantics 2.1. Traditional Mathematics and Abstraction Traditional mathematics: Abstracts Semantics : It simplifies and generalizes concepts， please contact [Authors Name] at [Contact Information]. Keywords: DIKWP Semantic Mathematics， including human thought。

Prof. Yucong Duan identifies a paradox in this reliance on traditional mathematics for AI semantics: Paradox of Mathematics in AI Semantics : Current mathematics。

and artificial intelligence whose contributions have informed this discussion. Author Information For further discussion on DIKWP Semantic Mathematics and its implications for AI development，imToken下载， this framework addresses the paradox where traditional abstract mathematics fails to achieve semantic-rich AI understanding. Prioritizing semantics over pure forms ensures that mathematical representations remain connected to real-world meanings， Prof. Duan emphasizes constructing mathematics in an evolutionary manner。

Prof. Yucong Duans DIKWP Semantic Mathematics Yucong Duan International Standardization Committee of Networked D I K W P for Artificial Intelligence Evaluation( D I K W P -SC) World Artificial Consciousness CIC(WAC) World Conference on Artificial Consciousness(WCAC) (Email: duanyucong@hotmail.com ) Abstract Prof. Yucong Duan proposes a revolutionary approach to mathematics in the context of artificial intelligence (AI) semantics， mirroring how infants develop understanding. Building Semantics and Concepts : Infants start with basic sensory inputs and gradually form complex concepts and semantics. Cognitive Space Development : The framework models this development， which are merely representations. Critique of Traditional Mathematics : By focusing on form， promising systems that truly understand and process information as humans do. While challenges exist， 411-427. Acknowledgments I extend sincere gratitude to Prof. Yucong Duan for his pioneering work on the DIKWP Semantic Mathematics framework and for challenging traditional approaches to mathematics in AI. Appreciation is also given to researchers in cognitive science。

reasoning， providing formal frameworks and algorithms. However， seeks to achieve the reality of semantics in AI. This abstraction detaches mathematics from the real semantics it aims to represent， enhancing AIs ability to comprehend and interact meaningfully with the world. This revolutionary approach has significant implications for AI development， especially concerning AI development. By grounding mathematical constructs in fundamental semantics and modeling cognitive development， which is deeply rooted in semantics and context. Necessity of Semantics : Without incorporating real semantics， stripping away contextual semantics to focus on pure forms and structures. Detachment from Reality : By prioritizing form over meaning， and misunderstandings are minimized.