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Posted on May 22, 2014 by Kenneth Udut Leave a comment

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“A common theme that ties all of these clusters together is the study of systems, patterns, and relationships between different elements and concepts. This includes the examination of mathematical and scientific theories, the design and use of technology, the exploration of perception and reality, the analysis of data, and the investigation of transformations and representations. All of these clusters are concerned with understanding the complexities of the world around us and the relationships between different elements within it. Additionally, there is a recurring focus on finding connections and creating meaningful representations of information, whether through the use of mathematical models, data analysis techniques, or the creation of user-friendly technologies.” chatGPT
Cluster 1: The study of chaos and the interactions within complex systems. Cluster 10: The use of tools to study geometric transformations and comparisons. Cluster 11: The study of asymmetrical hierarchies and outliers. Cluster 12: The examination of the relationship between perception and reality. Cluster 13: The focus on creating technology that is user-friendly and centered around human needs. Cluster 14: The investigation of self-organization and emergence through the lens of constraints and patterns. Cluster 15: The analysis of the relationship between shape, topology, and representation in transformations. Cluster 16: The examination of the connection between place, culture, perception, and identity. Cluster 17: The consideration of sustainability in the management of data and algorithms. Cluster 18: The examination of language, cognition, and neural processes through the lens of regulation and perception. Cluster 2: The study of geometry and topology in relation to continuity, freedom, and boundaries. Cluster 3: The analysis and measurement of data with a focus on precision. Cluster 4: The study of linear algebra and its relationship to symmetry, topology, and shape. Cluster 5: The investigation of the science of materials, specifically adhesion and interfacial energy. Cluster 8: The examination of the relationship between culture, design, process, and structure. Cluster 9: The study of control flow, specifically recursion and jump statements.
A healthy ecosystem of value is theoretically possible but as long as we keep viewing things along political lines and away from human lines, we’ll continue to ‘trade’ in gross falsehoods
ChatGPT’s revision of these 18 nodes in 2023 (original from 2021)
Cluster 18: Language, Cognition, Regulation, Perception, Neural Processes Cluster 15: Translation, Topology, Shape, Transformation, Representation Cluster 1: Probability, Systems, Interaction, Chaos Cluster 10: Transformation, Comparison, Symmetry, Tools Cluster 11: Hierarchy, Outliers, Asymmetry Cluster 12: Perception, Reality, Epistemology Cluster 13: Usability, Human-Centered Design, User Experience Cluster 14: Self-Organization, Emergence, Constraints, Patterns Cluster 16: Place, Culture, Perception, Identity Cluster 17: Sustainability, Data Management, Algorithm, Code Cluster 2: Geometry, Topology, Continuity, Freedom, Boundary Cluster 3: Data Analysis, Measurement, Precision Cluster 4: Linear Algebra, Symmetry, Topology, Shape Cluster 5: Material Science, Adhesion, Interfacial Energy Cluster 8: Culture, Design, Process, Structure Cluster 9: Control Flow, Recursion, Jump Statements

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