Traditional Invention and Innovation Theory 1946-TRIZ Does Not Adapt to the Digital Era

-Innovative problem-solving methods combining DIKWP model and classic TRIZ

Purpose driven Integration of data, information, knowledge, and wisdom Invention and creation methods: DIKWP-TRIZ

(Chinese people's own original invention and creation methods:DIKWP - TRIZ)

The Essence of Intuition and Its Interaction with Theories of Consciousness

Yucong Duan, Shiming Gong

DIKWP-AC Artificial Consciousness Laboratory

AGI-AIGC-GPT Evaluation DIKWP (Global) Laboratory

World Association of Artificial Consciousness

(Email：duanyucong@hotmail.com)

Abstract

This paper explores the essence of intuition and its interaction with Professor Duan Yucun's theory of consciousness. Intuition, as a non-linear and holistic mode of thinking, is closely related to the dynamic nature of consciousness and the existence of collective consciousness. The generation of intuition often relies on the brain's recognition and matching of patterns, while also being influenced by the individual's accumulated experience and emotions. Although intuition can help individuals make accurate decisions in many situations, it also has limitations and biases. A deeper understanding of the nature of intuition can help us better understand the complexity and diversity of human cognition, guiding us to approach problem-solving and decision-making more scientifically.

When exploring the essence of intuition, we can combine it with Professor Yucong Duan's consciousness theory, so as to understand the deep mechanism and psychological process of human cognition more comprehensively. Professor Yucong Duan's consciousness theory emphasizes the dynamic nature of consciousness and the existence of collective consciousness, which is closely related to the characteristics of intuition as a nonlinear and holistic thinking mode. In the following discussion, we will discuss the essence of intuition and analyze it in depth with Professor Yucong Duan's theory.

First of all, let's explore the nonlinear thinking mode of intuition. Intuition, as a very unique cognitive way of human beings, is different from linear reasoning, and it tends to understand problems or form judgments in a comprehensive and holistic way. This non-linear thinking mode is consistent with Professor Yucong Duan's view on the dynamic nature of consciousness. Consciousness is not static, but changes with the change of cognitive process. Similarly, intuition can also change with the change of individual situation, which has certain flexibility and adaptability. This nonlinear thinking mode enables people to react more flexibly in the face of complex situations and better adapt to the changing environment.

Secondly, intuition is often based on the brain's recognition and matching of patterns. The existence of collective consciousness put forward by Professor Yucong Duan is closely related to intuitive pattern recognition ability. collective consciousness can be regarded as a collection of common cognition and understanding among group members, which contains a large number of patterns and laws. In a group, individuals constantly absorb and integrate the patterns and laws in collective consciousness through contact and communication, thus forming their own cognition and understanding. When individuals face a specific situation, the brain will quickly extract relevant patterns and laws from collective consciousness and apply them to the formation and expression of intuition. This pattern recognition ability enables intuition to make relatively accurate judgments on complex situations in a short time, and at the same time enables individuals to better integrate and adapt to the group.

In addition, the development of intuition is inseparable from the long-term accumulated experience of individuals. Professor Yucong Duan emphasized the dynamic nature of consciousness, and the formation and development of consciousness is a process of continuous accumulation and renewal. Similarly, the formation of intuition is inseparable from the observation, learning and practice of individuals in daily life. Individuals form a unique cognition and understanding of the world through long-term accumulated experience, which is stored in the subconscious of the brain and called and used by intuition when needed. This intuition based on experience enables individuals to react quickly in the face of complex situations, and also provides an important reference for individuals' cognition and decision-making.

In addition, intuition is often closely related to emotion. The existence of collective consciousness put forward by Professor Yucong Duan is intrinsically related to the relationship between emotion. As a subjective evaluation of environment and events, emotion will affect the individual's perception and understanding of a certain situation, thus affecting the generation and expression of intuition. In a group, emotions can be spread and shared among individuals, which affects the formation and evolution of collective consciousness. Therefore, intuition is often influenced by emotion, and sometimes it may be a reaction driven by emotion, and the color of emotion often affects the accuracy of intuition.

Finally, the application and limitation of intuition. Although intuition can help people make accurate decisions in many cases, it also has certain limitations and misleading. Intuition may be influenced by individual subjective prejudice, lack of experience or wrong inference, leading to wrong judgment and decision-making. The existence of collective consciousness put forward by Professor Yucong Duan reminds us that individual intuition is influenced by collective consciousness, which may sometimes lead to collective wrong judgment and decision-making. Therefore, in important decision-making and problem handling, it is still necessary to combine the advantages of rational analysis and intuition to make a comprehensive consideration.

To sum up, intuition, as a nonlinear and holistic thinking mode, is complementary to Professor Yucong Duan's consciousness theory. The generation and expression of intuition can not be separated from the influence and support of collective consciousness, but also influenced by the long-term accumulated experience and emotion of individuals. A deep understanding of the nature of intuition will help us better understand the complexity and diversity of human cognition, and then guide us to deal with problems and make decisions more scientifically.

Conclusion

Through the exploration of this paper, we have a deeper understanding of the essence of intuition and its interaction with consciousness theory. We find that intuition, as a nonlinear and holistic thinking mode, plays an important role in human cognition. It is not only influenced by brain pattern recognition and matching, but also by individual's long-term accumulated experience and emotion. Intuition can provide us with valuable information and help us make accurate decisions in many cases. However, we should also be aware of the limitations and misleading of intuition, and we should not blindly rely on intuition to make decisions.

In the process of combining with Professor Yucong Duan's consciousness theory, we find that intuition is closely related to the dynamics of consciousness and the existence of collective consciousness. Intuition not only affects the operation of consciousness at the individual level, but also has a far-reaching influence at the group level. A deep understanding of intuition helps us to better understand the complexity and diversity of consciousness, and provides us with new perspectives and ideas for solving problems and making decisions.

In a word, there is a close relationship between the essence of intuition and the theory of consciousness, which interweaves and influences each other. Further study on the essence of intuition and the operating mechanism of consciousness will help us to understand the mystery of human cognition more comprehensively and provide more scientific guidance for the progress and development of human society.

摘要

本文探讨了直觉的本质及其与段玉聪教授的意识理论之间的交互关系。直觉作为一种非线性、整体性思维模式，与意识的动态性和群体意识的存在性密切相关。直觉的产生往往基于大脑对模式的识别和匹配，同时也受到个体长期积累的经验和情感的影响。虽然直觉在许多情况下能够帮助人们做出准确的决策，但它也存在一定的局限性和误导性。深入理解直觉的本质有助于我们更好地认识人类认知的复杂性和多样性，指导我们更加科学地处理问题和做出决策。

在深入探讨直觉的本质时，我们可以将其与段玉聪教授的意识理论相结合，从而更全面地理解人类认知的深层机制和心理过程。段玉聪教授的意识理论强调了意识的动态性和群体意识的存在性，这与直觉作为一种非线性、整体性思维模式的特点有着密切的联系。在以下的论述中，我们将探讨直觉的本质，并结合段玉聪教授的理论对其进行深入解析。

首先，我们来探讨直觉的非线性思维模式。直觉作为一种非常人类特有的认知方式，与线性推理不同，它更倾向于通过综合性的、整体性的方式来理解问题或形成判断。这种非线性思维模式与段玉聪教授关于意识动态性的观点相契合。意识并不是一成不变的，而是随着认知过程的变化而变化。类似地，直觉也可以随着个体所处情境的变化而产生变化，具有一定的灵活性和适应性。这种非线性思维模式使得人们能够在面对复杂情境时更加灵活地做出反应，更好地适应不断变化的环境。

其次，直觉的产生往往基于大脑对模式的识别和匹配。段玉聪教授提出的群体意识的存在性与直觉的模式识别能力密切相关。群体意识可以看作是群体成员之间共同的认知和理解的集合体，其中包含了大量的模式和规律。在群体中，个体通过接触和交流，不断吸收和整合群体意识中的模式和规律，从而形成自己的认知和理解。当个体在面对特定情境时，大脑会迅速地从群体意识中提取出相关的模式和规律，并运用于直觉的形成和表达。这种模式识别能力使得直觉能够在短时间内对复杂情况做出相对准确的判断，同时也使得个体能够更好地融入和适应群体。

此外，直觉的发展离不开个体长期积累的经验。段玉聪教授强调了意识的动态性，意识的形成和发展是一个不断积累和更新的过程。类似地，直觉的形成也离不开个体在日常生活中的观察、学习和实践。个体通过长期积累的经验，形成了对世界的独特认知和理解，这些经验被存储在大脑的潜意识中，并在需要时被直觉所调用和运用。这种基于经验的直觉使得个体能够在面对复杂情境时快速作出反应，同时也为个体的认知和决策提供了重要的参考依据。

另外，直觉往往与情感密切相关。段玉聪教授提出的群体意识的存在性与情感的关联有着内在联系。情感作为一种对环境和事件的主观评价，会影响个体对某种情境的感知和理解，从而影响到直觉的产生和表达。在群体中，情感可以在个体之间传播和共享，影响着群体意识的形成和演变。因此，直觉往往受到情感的影响，有时候可能是受到情感驱动的一种反应，而情感的色彩也常常会影响到直觉的准确性。

最后，直觉的应用与限制。虽然直觉在许多情况下能够帮助人们做出准确的决策，但它也具有一定的局限性和误导性。直觉可能受到个体主观偏见、经验不足或错误推断的影响，导致错误的判断和决策。段玉聪教授提出的群体意识的存在性提醒我们，在群体中个体的直觉受到群体意识的影响，有时候可能导致集体错误的判断和决策。因此，在重要的决策和问题处理中，还是需要结合理性分析和直觉的优势，做出全面的考量。

综上所述，直觉作为一种非线性、整体性思维模式，与段玉聪教授的意识理论相互辅助、相互补充。直觉的产生和表达离不开群体意识的影响和支持，同时也受到个体长期积累的经验和情感的影响。深入理解直觉的本质，有助于我们更好地认识人类认知的复杂性和多样性，进而指导我们更加科学地处理问题和做出决策。

结论

通过本文的探讨，我们对直觉的本质及其与意识理论的交互关系有了更深入的理解。我们发现，直觉作为一种非线性、整体性的思维模式，在人类认知中扮演着重要角色。它不仅受到大脑模式识别和匹配的影响，还受到个体长期积累的经验和情感的影响。直觉在许多情况下能够为我们提供有价值的信息，帮助我们做出准确的决策。然而，我们也要意识到直觉存在的局限性和误导性，不可盲目依赖直觉进行决策。

在与段玉聪教授的意识理论相结合的过程中，我们发现直觉与意识的动态性和群体意识的存在性密切相关。直觉不仅在个体层面上影响着意识的运作，也在群体层面上产生了深远的影响。对直觉的深入理解有助于我们更好地认识意识的复杂性和多样性，为我们解决问题和做出决策提供了新的视角和思路。

总之，直觉的本质与意识理论之间存在着密切的关系，相互交织、相互影响。进一步研究直觉的本质和意识的运作机制，有助于我们更全面地理解人类认知的奥秘，为人类社会的进步和发展提供更加科学的指导。

Reference

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Data can be regarded as a concrete manifestation of the same semantics in our cognition. Often, Data represents the semantic confirmation of the existence of a specific fact or observation, and is recognised as the same object or concept by corresponding to some of the same semantic correspondences contained in the existential nature of the cognitive subject's pre-existing cognitive objects. When dealing with data, we often seek and extract the particular identical semantics that labels that data, and then unify them as an identical concept based on the corresponding identical semantics. For example, when we see a flock of sheep, although each sheep may be slightly different in terms of size, colour, gender, etc., we will classify them into the concept of "sheep" because they share our semantic understanding of the concept of "sheep". The same semantics can be specific, for example, when identifying an arm, we can confirm that a silicone arm is an arm based on the same semantics as a human arm, such as the same number of fingers, the same colour, the same arm shape, etc., or we can determine that the silicone arm is not an arm because it doesn't have the same semantics as a real arm, which is defined by the definition of "can be rotated". It is also possible to determine that the silicone arm is not an arm because it does not have the same semantics as a real arm, such as "rotatable".

Information, on the other hand, corresponds to the expression of different semantics in cognition. Typically, Information refers to the creation of new semantic associations by linking cognitive DIKWP objects with data, information, knowledge, wisdom, or purposes already cognised by the cognising subject through a specific purpose. When processing information, we identify the differences in the DIKWP objects they are cognised with, corresponding to different semantics, and classify the information according to the input data, information, knowledge, wisdom or purpose. For example, in a car park, although all cars can be classified under the notion of 'car', each car's parking location, time of parking, wear and tear, owner, functionality, payment history and experience all represent different semantics in the information. The different semantics of the information are often present in the cognition of the cognitive subject and are often not explicitly expressed. For example, a depressed person may use the term "depressed" to express the decline of his current mood relative to his previous mood, but this "depressed" is not the same as the corresponding information because its contrasting state is not the same as the corresponding information. However, the corresponding information cannot be objectively perceived by the listener because the contrasting state is not known to the listener, and thus becomes the patient's own subjective cognitive information.

Knowledge corresponds to the complete semantics in cognition. Knowledge is the understanding and explanation of the world acquired through observation and learning. In processing knowledge, we abstract at least one concept or schema that corresponds to a complete semantics through observation and learning. For example, we learn that all swans are white through observation, which is a complete knowledge of the concept "all swans are white" that we have gathered through a large amount of information.

Wisdom corresponds to information in the perspective of ethics, social morality, human nature, etc., a kind of extreme values from the culture, human social groups relative to the current era fixed or individual cognitive values. When dealing with Wisdom, we integrate this data, information, knowledge, and wisdom and use them to guide decision-making. For example, when faced with a decision-making problem, we integrate various perspectives such as ethics, morality, and feasibility, not just technology or efficiency.

Purpose can be viewed as a dichotomy (input, output), where both input and output are elements of data, information, knowledge, wisdom, or purpose. Purpose represents our understanding of a phenomenon or problem (input) and the goal we wish to achieve by processing and solving that phenomenon or problem (output). When processing purposes, the AI system processes the inputs according to its predefined goals (outputs), and gradually brings the outputs closer to the predefined goals by learning and adapting.

Yucong Duan, male, currently serves as a member of the Academic Committee of the School  of Computer Science and Technology at Hainan University. He is a professor and doctoral supervisor and is one of the first batch of talents selected into the South China Sea Masters Program of Hainan Province and the leading talents in Hainan Province. He graduated from the Software Research Institute of the Chinese Academy of Sciences in 2006, and has successively worked and visited Tsinghua University, Capital Medical University, POSCO University of Technology in South Korea, National Academy of Sciences of France, Charles University in Prague, Czech Republic, Milan Bicka University in Italy, Missouri State University in the United States, etc. He is currently a member of the Academic Committee of the School of Computer Science and Technology at Hainan University and he is the leader of the DIKWP (Data, Information, Knowledge, Wisdom, Purpose) Innovation Team at Hainan University, Distinguished Researcher at Chongqing Police College, Leader of Hainan Provincial Committee's "Double Hundred Talent" Team, Vice President of Hainan Invention Association, Vice President of Hainan Intellectual Property Association, Vice President of Hainan Low Carbon Economy Development Promotion Association, Vice President of Hainan Agricultural Products Processing Enterprises Association, Director of Network Security and Informatization Association of Hainan Province, Director of Artificial Intelligence Society of Hainan Province, Visiting Fellow, Central Michigan University, Member of the Doctoral Steering Committee of the University of Modena. Since being introduced to Hainan University as a D-class talent in 2012, He has published over 260 papers, included more than 120 SCI citations, and 11 ESI citations, with a citation count of over 4300. He has designed 241 serialized Chinese national and international invention patents (including 15 PCT invention patents) for multiple industries and fields and has been granted 85 Chinese national and international invention patents as the first inventor. Received the third prize for Wu Wenjun's artificial intelligence technology invention in 2020; In 2021, as the Chairman of the Program Committee, independently initiated the first International Conference on Data, Information, Knowledge and Wisdom - IEEE DIKW 2021; Served as the Chairman of the IEEE DIKW 2022 Conference Steering Committee in 2022; Served as the Chairman of the IEEE DIKW 2023 Conference in 2023. He was named the most beautiful technology worker in Hainan Province in 2022 (and was promoted nationwide); In 2022 and 2023, he was consecutively selected for the "Lifetime Scientific Influence Ranking" of the top 2% of global scientists released by Stanford University in the United States. Participated in the development of 2 international standards for IEEE financial knowledge graph and 4 industry knowledge graph standards. Initiated and co hosted the first International Congress on Artificial Consciousness (AC2023) in 2023.

Prof. Yucong Duan

DIKWP-AC Artificial Consciousness Laboratory

AGI-AIGC-GPT Evaluation DIKWP (Global) Laboratory

DIKWP research group, Hainan University

duanyucong@hotmail.com