Structures of Information
Abstract
Dependence and independence of information bits and structures is an important factor in analyzing data and creating insights.
Types of Interactions
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independent and dependent
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linear and nonlinear dependency
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causal and non-causal connections
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correlation and causality
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illustration: correlation without causality
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phenomenology of empiric research
Information Cells
- organells of information
- dynamics
- development
- Self correlation of cells of information
- Structures and self evolving systems
- isomorphic behaviour in information cells
Informational Dynamics
- entropy redefined, measuring a change in a system
- time as a factor of change, speed and structure
- carriers of information
- how to quantize the content?
- chaos and devolution
Information Theory and Development of Physics
- properties of physical space and interactions
- statistical physics and probabilistic insights
- mathematical models and physical phenomenology
- devising conjectures and concept of information frameworks