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Map 40 TRIZ Principles to DIKWP-TRIZ(初学者版)

已有 1015 次阅读 2024-9-13 15:26 |系统分类:论文交流

Map 40 TRIZ Principles to DIKWP-TRIZ

Yucong Duan

International Standardization Committee of Networked DIKWfor Artificial Intelligence Evaluation(DIKWP-SC)

World Artificial Consciousness CIC(WAC)

World Conference on Artificial Consciousness(WCAC)

(Email: duanyucong@hotmail.com)

Introduction

Thank you for your feedback and for pointing out the missing transformations. I apologize for the oversight. The DIKWP model is indeed networked, meaning that transformations can occur between any two elements in any direction, including self-transformations and multi-element interactions. In this revised mapping, I will ensure that all possible transformations between the DIKWP elements are covered, including those previously missed such as Knowledge to Data (K → D), Wisdom to Information (W → I), Knowledge to Information (K → I), and others.

Understanding the Networked DIKWP Model

The DIKWP model consists of five elements:

  1. Data (D)

  2. Information (I)

  3. Knowledge (K)

  4. Wisdom (W)

  5. Purpose (P)

In a networked model, transformations can occur between any pair of elements, in both directions. This results in a total of 20 unique transformations (excluding self-transformations):

  • D ↔ I

  • D ↔ K

  • D ↔ W

  • D ↔ P

  • I ↔ K

  • I ↔ W

  • I ↔ P

  • K ↔ W

  • K ↔ P

  • W ↔ P

Additionally, we can consider self-transformations (D ↔ D, I ↔ I, etc.), bringing the total to 25 transformations.

Comprehensive Mapping of TRIZ Principles to DIKWP Transformations

Below is the revised and comprehensive mapping of the 40 TRIZ Principles to all possible DIKWP transformations. Each transformation is accompanied by relevant TRIZ principles and explanations.

1. Data (D) ↔ Data (D)

Transformation Description: Operations within the Data element, such as cleansing, augmentation, or restructuring.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 1SegmentationBreak data into smaller parts for detailed analysis.
Principle 2Taking OutExtract essential data elements for focus.
Principle 5MergingCombine datasets to enhance completeness.
Principle 10Preliminary ActionPrepare data in advance (e.g., normalization).
Principle 35Parameter ChangesModify data parameters (units, scales) for consistency.
2. Data (D) ↔ Information (I)

Transformation Description: Converting raw data into meaningful information.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 3Local QualityAnalyze specific data subsets for detailed information.
Principle 5MergingCombine data to form comprehensive information.
Principle 9Preliminary Anti-ActionFilter out noise from data before processing.
Principle 17Another DimensionRepresent data in different dimensions for better insight.
Principle 28Mechanics SubstitutionUse automated methods for data processing.
3. Data (D) ↔ Knowledge (K)

Transformation Description:

  • D → K: Using data to generate knowledge.

  • K → D: Applying knowledge to influence data collection and interpretation.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 6UniversalityDerive universal principles from data.
Principle 25Self-ServiceKnowledge directs autonomous data acquisition.
Principle 35Parameter ChangesAdjust data parameters based on knowledge needs.
Principle 24IntermediaryUse models to translate data into knowledge.
Principle 9Preliminary Anti-ActionUse knowledge to prevent irrelevant data collection.
4. Data (D) ↔ Wisdom (W)

Transformation Description:

  • D → W: Interpreting data through wisdom to gain deep insights.

  • W → D: Wisdom guiding the collection and interpretation of data.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 16Partial or Excessive ActionsApply wisdom to determine the extent of data analysis needed.
Principle 22Blessing in DisguiseFind unexpected value in data through wisdom.
Principle 23FeedbackUse data outcomes to refine wisdom.
Principle 32Color ChangesChange data presentation to enhance understanding (e.g., visualizations).
5. Data (D) ↔ Purpose (P)

Transformation Description:

  • D → P: Data influencing or defining purpose.

  • P → D: Purpose guiding data collection and utilization.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 4AsymmetryPrioritize data collection based on purpose importance.
Principle 11Beforehand CushioningPrepare data systems in anticipation of purpose requirements.
Principle 15DynamicsKeep data strategies flexible to adapt to changing purposes.
Principle 35Parameter ChangesAdjust data parameters to better serve the purpose.
6. Information (I) ↔ Information (I)

Transformation Description: Refining and restructuring information.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 13The Other Way RoundReorganize information flow for better comprehension.
Principle 14SpheroidalityStructure information in interconnected ways (e.g., networks).
Principle 35Parameter ChangesModify information parameters (format, detail) for clarity.
Principle 17Another DimensionPresent information in various formats (graphs, charts).
7. Information (I) ↔ Knowledge (K)

Transformation Description:

  • I → K: Structuring information to form knowledge.

  • K → I: Using knowledge to interpret and organize information.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 24IntermediaryUse frameworks to translate information into knowledge.
Principle 26CopyingApply known knowledge structures to new information domains.
Principle 15DynamicsAllow knowledge to evolve with new information.
Principle 34Discarding and RecoveringUpdate knowledge by integrating new information.
8. Information (I) ↔ Wisdom (W)

Transformation Description:

  • I → W: Applying wisdom to interpret information.

  • W → I: Wisdom influencing the processing and interpretation of information.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 16Partial or Excessive ActionsDetermine the appropriate level of information processing through wisdom.
Principle 22Blessing in DisguiseFind deeper meanings in information using wisdom.
Principle 23FeedbackUse outcomes to refine wisdom and information processing.
Principle 32Color ChangesAlter information presentation to enhance wisdom (e.g., storytelling).
9. Information (I) ↔ Purpose (P)

Transformation Description:

  • I → P: Information shaping or redefining purpose.

  • P → I: Purpose guiding information gathering and processing.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 7Nested DollAlign information strategies with various levels of purpose.
Principle 31Porous MaterialsAllow purpose to be influenced by new information.
Principle 15DynamicsKeep information strategies flexible to adapt to changing purposes.
Principle 35Parameter ChangesAdjust information parameters to align with purpose.
10. Knowledge (K) ↔ Knowledge (K)

Transformation Description: Refining, updating, or restructuring knowledge.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 26CopyingReplicate successful knowledge frameworks.
Principle 34Discarding and RecoveringUpdate knowledge by removing obsolete concepts.
Principle 15DynamicsKeep knowledge adaptable and current.
Principle 35Parameter ChangesModify knowledge parameters to improve accuracy.
11. Knowledge (K) ↔ Wisdom (W)

Transformation Description:

  • K → W: Developing wisdom through the application of knowledge.

  • W → K: Wisdom influencing the development and refinement of knowledge.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 23FeedbackUse experiences to refine knowledge and wisdom.
Principle 40Composite MaterialsCombine multiple knowledge sources to enhance wisdom.
Principle 15DynamicsAllow wisdom and knowledge to co-evolve.
Principle 32Color ChangesShift perspectives in knowledge application for deeper wisdom.
12. Knowledge (K) ↔ Purpose (P)

Transformation Description:

  • K → P: Knowledge shaping or redefining purpose.

  • P → K: Purpose guiding knowledge acquisition and application.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 25Self-ServiceKnowledge autonomously adjusts purposes.
Principle 31Porous MaterialsPurpose remains open to new knowledge.
Principle 7Nested DollAlign knowledge initiatives with hierarchical purposes.
Principle 35Parameter ChangesAdjust purposes based on new knowledge.
13. Wisdom (W) ↔ Wisdom (W)

Transformation Description: Refinement and evolution of wisdom.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 15DynamicsAllow wisdom to adapt over time.
Principle 23FeedbackUse outcomes to continuously refine wisdom.
Principle 34Discarding and RecoveringLet go of outdated wisdom to embrace new insights.
14. Wisdom (W) ↔ Purpose (P)

Transformation Description:

  • W → P: Wisdom informing and shaping purpose.

  • P → W: Purpose guiding the cultivation of wisdom.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 7Nested DollAlign wisdom and purpose across different levels.
Principle 34Discarding and RecoveringAdjust purposes based on new wisdom.
Principle 15DynamicsKeep purposes flexible to incorporate evolving wisdom.
Principle 35Parameter ChangesModify purpose parameters as wisdom deepens.
15. Purpose (P) ↔ Purpose (P)

Transformation Description: Refinement and evolution of purpose.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 15DynamicsAllow purpose to evolve over time.
Principle 25Self-ServicePurpose self-adjusts based on internal criteria.
Principle 34Discarding and RecoveringReevaluate and update purposes.
Principle 35Parameter ChangesAdjust objectives as necessary.
16. Data (D) ↔ Knowledge (K) ↔ Data (D) (Bidirectional Loop)

Transformation Description: Continuous loop where data informs knowledge and knowledge directs data collection.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 23FeedbackImplement feedback loops between data and knowledge.
Principle 15DynamicsAllow continuous adaptation in both data collection and knowledge.
Principle 35Parameter ChangesAdjust parameters in both data and knowledge for optimization.
17. Information (I) ↔ Wisdom (W) ↔ Information (I) (Bidirectional Loop)

Transformation Description: Continuous refinement of information through wisdom and vice versa.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 23FeedbackUse wisdom to refine information processing and learn from outcomes.
Principle 15DynamicsKeep both information and wisdom adaptable.
Principle 32Color ChangesChange perspectives in both information and wisdom for deeper insights.
18. Knowledge (K) ↔ Information (I) ↔ Data (D) (Multi-Element Transformation)

Transformation Description: Integrated process where knowledge influences information processing, which in turn affects data collection.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 24IntermediaryUse models to connect data, information, and knowledge.
Principle 35Parameter ChangesAdjust parameters across all elements for alignment.
Principle 15DynamicsAllow flexibility in the transformation process among all elements.
19. Wisdom (W) ↔ Knowledge (K) ↔ Purpose (P) (Multi-Element Transformation)

Transformation Description: Wisdom refining knowledge, which influences purpose, and purpose guiding the development of both wisdom and knowledge.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 7Nested DollAlign wisdom, knowledge, and purpose across levels.
Principle 23FeedbackUse outcomes to refine all elements.
Principle 15DynamicsKeep all elements adaptable and aligned.
20. Data (D) ↔ Purpose (P) ↔ Wisdom (W) ↔ Information (I) ↔ Knowledge (K) (Full Network Interaction)

Transformation Description: Complex interactions involving all DIKWP elements.

Relevant TRIZ Principles:
TRIZ PrincipleNameApplication
Principle 24IntermediaryUse integrative models to facilitate interactions among all elements.
Principle 35Parameter ChangesContinuously adjust parameters across all elements for coherence.
Principle 15DynamicsMaintain adaptability throughout the entire network.
Principle 23FeedbackImplement feedback loops at multiple levels.
Principle 40Composite MaterialsCombine multiple principles and elements for robust solutions.
Summary Table of TRIZ Principles Mapped to DIKWP Transformations
TRIZ PrincipleApplicable Transformations
Principle 1D ↔ D
Principle 2D ↔ D, D ↔ K
Principle 3D ↔ I
Principle 4D ↔ P
Principle 5D ↔ D, D ↔ I
Principle 6D ↔ K
Principle 7I ↔ P, K ↔ P, W ↔ P, Multi-element interactions
Principle 9D ↔ D, D ↔ I, D ↔ K
Principle 10D ↔ D
Principle 11D ↔ P
Principle 13D ↔ I, I ↔ I
Principle 14I ↔ I
Principle 15Applicable across all transformations for adaptability
Principle 16D ↔ W, I ↔ W
Principle 17D ↔ I, I ↔ I
Principle 22D ↔ W, I ↔ W
Principle 23Applicable across all transformations for feedback loops
Principle 24D ↔ K, I ↔ K, Multi-element interactions
Principle 25D ↔ K, K ↔ P, P ↔ P
Principle 26K ↔ K, I ↔ K
Principle 28D ↔ D
Principle 31I ↔ P, K ↔ P
Principle 32D ↔ W, I ↔ W, K ↔ W
Principle 34K ↔ K, W ↔ W, W ↔ P, P ↔ P
Principle 35Applicable across all transformations for parameter adjustments
Principle 40K ↔ W, Multi-element interactions

Conclusion

In this revised mapping, all transformations between DIKWP elements are included, ensuring a comprehensive coverage of the networked relationships. The mapping aligns the 40 TRIZ Principles with the interactive transformations of the DIKWP model, providing a robust framework for:

  • Enhancing Cognitive Processes: By applying TRIZ principles to each transformation, we can optimize the flow of information and knowledge.

  • Facilitating Innovation: The integration encourages creative problem-solving and systematic innovation.

  • Designing Intelligent Systems: This mapping can guide the development of AI systems that mimic human cognitive transformations.

Next Steps

  • Practical Application: Utilize this comprehensive mapping in projects to enhance problem-solving strategies.

  • Education and Training: Share this framework with practitioners for training purposes.

  • Continuous Improvement: Update and refine the mapping as new insights emerge.



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