User talk:Vir/sandbox/knowledge structures

Outline
(rough draft)


 * 1. Preliminaries
 * 2. List of basic categories
 * 3. Types of basic knowledge structures
 * 4. Multi-dimensional structures
 * 5. Dynamics
 * 6. Applied examples -- some top level circle-based multi-dimensioal topic trees

Detailed outline

 * 1. Preliminaries
 * bias (POV) in basic categories; need multiple categories and structures of categories for multiple points of view
 * types of variables (binary, categorical, variable; qualitative/quantitative)
 * summary of types of structures


 * 2. List of basic categories (again, rough draft)
 * time (history)
 * space (geography)
 * time - space (cosmology)
 * large - small (macro / micro in physics, biology, geology, sociology etc, e.g., ecosystem/flock, earth/island, country/community -- note that Earth, a combined macro category (among many other things), is a top level propaedia category)
 * energy - matter
 * life - inorganic world (biology / physics)
 * subjectivity - objectivity (for example, humanities & social sciences / sciences)
 * related: mind - body; knowledge (or ideas) - experience
 * material - immaterial; or physical - mental
 * related: to above but distinct
 * human and nonhuman worlds (humanities & social sciences / sciences) - obviously related to just above
 * related: (lived experience vs. various studies & knowledge realms)
 * also related: society/social (macro human) - nature/natural worlds; social sciences - natural sciences
 * also related: aware - unaware (also, conscious or sentient - insentient)
 * practical - abstract (for instance, technology & science; applied math & academic math; similar to applied / theoretical -- this is quite distinct from physical - mental, as there can be practical thinking)
 * value - value neutral - (for instance, aesthetics & morality / instrumentality)
 * emotive - nonemotive
 * play - work (or leisure - work)


 * 3. Types of basic knowledge structures
 * Tables: 2 by 2 up to n x n tables
 * Grids and Matrixes
 * Trees and networks
 * Circles
 * 3D: spiral and spheres


 * 4. Multi-dimensional structures
 * combining some of the above elements in 2-D & 3-D structures (and theoretically, N-space, but perhaps not in this dicussion)


 * 5. Dynamics
 * feedback
 * development and decay


 * 6. Applied examples -- some top level circle-based multi-dimensioal topic trees