Map 40 TRIZ Principles to DIKWP-TRIZ

Yucong Duan

International Standardization Committee of Networked DIKWP for 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 Principle	Name	Application
Principle 1	Segmentation	Break data into smaller parts for detailed analysis.
Principle 2	Taking Out	Extract essential data elements for focus.
Principle 5	Merging	Combine datasets to enhance completeness.
Principle 10	Preliminary Action	Prepare data in advance (e.g., normalization).
Principle 35	Parameter Changes	Modify data parameters (units, scales) for consistency.

2. Data (D) ↔ Information (I)

Transformation Description: Converting raw data into meaningful information.

Relevant TRIZ Principles:

TRIZ Principle	Name	Application
Principle 3	Local Quality	Analyze specific data subsets for detailed information.
Principle 5	Merging	Combine data to form comprehensive information.
Principle 9	Preliminary Anti-Action	Filter out noise from data before processing.
Principle 17	Another Dimension	Represent data in different dimensions for better insight.
Principle 28	Mechanics Substitution	Use 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 Principle	Name	Application
Principle 6	Universality	Derive universal principles from data.
Principle 25	Self-Service	Knowledge directs autonomous data acquisition.
Principle 35	Parameter Changes	Adjust data parameters based on knowledge needs.
Principle 24	Intermediary	Use models to translate data into knowledge.
Principle 9	Preliminary Anti-Action	Use 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 Principle	Name	Application
Principle 16	Partial or Excessive Actions	Apply wisdom to determine the extent of data analysis needed.
Principle 22	Blessing in Disguise	Find unexpected value in data through wisdom.
Principle 23	Feedback	Use data outcomes to refine wisdom.
Principle 32	Color Changes	Change 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 Principle	Name	Application
Principle 4	Asymmetry	Prioritize data collection based on purpose importance.
Principle 11	Beforehand Cushioning	Prepare data systems in anticipation of purpose requirements.
Principle 15	Dynamics	Keep data strategies flexible to adapt to changing purposes.
Principle 35	Parameter Changes	Adjust data parameters to better serve the purpose.

6. Information (I) ↔ Information (I)

Transformation Description: Refining and restructuring information.

Relevant TRIZ Principles:

TRIZ Principle	Name	Application
Principle 13	The Other Way Round	Reorganize information flow for better comprehension.
Principle 14	Spheroidality	Structure information in interconnected ways (e.g., networks).
Principle 35	Parameter Changes	Modify information parameters (format, detail) for clarity.
Principle 17	Another Dimension	Present 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 Principle	Name	Application
Principle 24	Intermediary	Use frameworks to translate information into knowledge.
Principle 26	Copying	Apply known knowledge structures to new information domains.
Principle 15	Dynamics	Allow knowledge to evolve with new information.
Principle 34	Discarding and Recovering	Update 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 Principle	Name	Application
Principle 16	Partial or Excessive Actions	Determine the appropriate level of information processing through wisdom.
Principle 22	Blessing in Disguise	Find deeper meanings in information using wisdom.
Principle 23	Feedback	Use outcomes to refine wisdom and information processing.
Principle 32	Color Changes	Alter 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 Principle	Name	Application
Principle 7	Nested Doll	Align information strategies with various levels of purpose.
Principle 31	Porous Materials	Allow purpose to be influenced by new information.
Principle 15	Dynamics	Keep information strategies flexible to adapt to changing purposes.
Principle 35	Parameter Changes	Adjust information parameters to align with purpose.

10. Knowledge (K) ↔ Knowledge (K)

Transformation Description: Refining, updating, or restructuring knowledge.

Relevant TRIZ Principles:

TRIZ Principle	Name	Application
Principle 26	Copying	Replicate successful knowledge frameworks.
Principle 34	Discarding and Recovering	Update knowledge by removing obsolete concepts.
Principle 15	Dynamics	Keep knowledge adaptable and current.
Principle 35	Parameter Changes	Modify 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 Principle	Name	Application
Principle 23	Feedback	Use experiences to refine knowledge and wisdom.
Principle 40	Composite Materials	Combine multiple knowledge sources to enhance wisdom.
Principle 15	Dynamics	Allow wisdom and knowledge to co-evolve.
Principle 32	Color Changes	Shift 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 Principle	Name	Application
Principle 25	Self-Service	Knowledge autonomously adjusts purposes.
Principle 31	Porous Materials	Purpose remains open to new knowledge.
Principle 7	Nested Doll	Align knowledge initiatives with hierarchical purposes.
Principle 35	Parameter Changes	Adjust purposes based on new knowledge.

13. Wisdom (W) ↔ Wisdom (W)

Transformation Description: Refinement and evolution of wisdom.

Relevant TRIZ Principles:

TRIZ Principle	Name	Application
Principle 15	Dynamics	Allow wisdom to adapt over time.
Principle 23	Feedback	Use outcomes to continuously refine wisdom.
Principle 34	Discarding and Recovering	Let 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 Principle	Name	Application
Principle 7	Nested Doll	Align wisdom and purpose across different levels.
Principle 34	Discarding and Recovering	Adjust purposes based on new wisdom.
Principle 15	Dynamics	Keep purposes flexible to incorporate evolving wisdom.
Principle 35	Parameter Changes	Modify purpose parameters as wisdom deepens.

15. Purpose (P) ↔ Purpose (P)

Transformation Description: Refinement and evolution of purpose.

Relevant TRIZ Principles:

TRIZ Principle	Name	Application
Principle 15	Dynamics	Allow purpose to evolve over time.
Principle 25	Self-Service	Purpose self-adjusts based on internal criteria.
Principle 34	Discarding and Recovering	Reevaluate and update purposes.
Principle 35	Parameter Changes	Adjust 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 Principle	Name	Application
Principle 23	Feedback	Implement feedback loops between data and knowledge.
Principle 15	Dynamics	Allow continuous adaptation in both data collection and knowledge.
Principle 35	Parameter Changes	Adjust 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 Principle	Name	Application
Principle 23	Feedback	Use wisdom to refine information processing and learn from outcomes.
Principle 15	Dynamics	Keep both information and wisdom adaptable.
Principle 32	Color Changes	Change 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 Principle	Name	Application
Principle 24	Intermediary	Use models to connect data, information, and knowledge.
Principle 35	Parameter Changes	Adjust parameters across all elements for alignment.
Principle 15	Dynamics	Allow 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 Principle	Name	Application
Principle 7	Nested Doll	Align wisdom, knowledge, and purpose across levels.
Principle 23	Feedback	Use outcomes to refine all elements.
Principle 15	Dynamics	Keep 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 Principle	Name	Application
Principle 24	Intermediary	Use integrative models to facilitate interactions among all elements.
Principle 35	Parameter Changes	Continuously adjust parameters across all elements for coherence.
Principle 15	Dynamics	Maintain adaptability throughout the entire network.
Principle 23	Feedback	Implement feedback loops at multiple levels.
Principle 40	Composite Materials	Combine multiple principles and elements for robust solutions.

Summary Table of TRIZ Principles Mapped to DIKWP Transformations

TRIZ Principle	Applicable Transformations
Principle 1	D ↔ D
Principle 2	D ↔ D, D ↔ K
Principle 3	D ↔ I
Principle 4	D ↔ P
Principle 5	D ↔ D, D ↔ I
Principle 6	D ↔ K
Principle 7	I ↔ P, K ↔ P, W ↔ P, Multi-element interactions
Principle 9	D ↔ D, D ↔ I, D ↔ K
Principle 10	D ↔ D
Principle 11	D ↔ P
Principle 13	D ↔ I, I ↔ I
Principle 14	I ↔ I
Principle 15	Applicable across all transformations for adaptability
Principle 16	D ↔ W, I ↔ W
Principle 17	D ↔ I, I ↔ I
Principle 22	D ↔ W, I ↔ W
Principle 23	Applicable across all transformations for feedback loops
Principle 24	D ↔ K, I ↔ K, Multi-element interactions
Principle 25	D ↔ K, K ↔ P, P ↔ P
Principle 26	K ↔ K, I ↔ K
Principle 28	D ↔ D
Principle 31	I ↔ P, K ↔ P
Principle 32	D ↔ W, I ↔ W, K ↔ W
Principle 34	K ↔ K, W ↔ W, W ↔ P, P ↔ P
Principle 35	Applicable across all transformations for parameter adjustments
Principle 40	K ↔ 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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