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
independent and dependent
linear and nonlinear dependency
causal and non-causal connections
correlation and causality
illustration: correlation without causality
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