**18.3 WOSSI drives biorheology 'Causality Logic gates'**

*Wisdom open–system semantic identification* (WOSSI) is a mapping system that allows identification of wisdom from the lower order delivery engines information, knowledge, reasoning, and understanding in an open–system. WOSSI mapping has the outcome of

C3

1998).

**18.4.6 Reasoning** 

**18.4.5 Synthesized and adaptability** 

Non-Aristotelian Logic. (Alder, 2004).

**18.4.7 Enablers to Logic** 

conditional (ב (and bi-conditional (≡) (QSA, 2004).

**19. Coalescence Theory and biorheology** 

biorheology (Answers, 2010; Senese, 2005).

context or series of constructs to achieve specific deliverable.

within the semantic model and coding (Chung, et al., 2002).

W semantic Temporal Entanglement Modelling for Human - Machine Interfaces 263

Synthesize connections via additional gates may occur as an outcome of disconformities

Logic (reasoning) circuits with logic gate inputs and outputs with associated Truth Tables to develop a reasonable or logical conclusion based on known information (NAVEDTRA,

To provide a plausible avenue for the development of new ideas and paradigm shifts in digital circuit logic gates does one 'return to the future' by drawing on Aristotelian logic or

Another way forward might be to remain sceptical and focus on plausible conjectures based on deductive logic strands covering propositional, contemporary, and traditional through to monadic and dyadic. An Ockham's razor approach may have simple logic symbols: negation (~), conjunction (&), inclusive disjunction (v), exclusive disjunction (Җ),

Logic gate development has enablers that have critical path KILDEE's using Information Theory. The KILDEE's could tend to be 'devices—entities—events—processes' (DEEP) that in turn interact within a series of sub-DEEP (sub-delivery engines). Another could be that KILDEE's might be inclined to interact with say area network WIKED's within a specific

Coalescence Theory (CT) states: "in a situation where entities, events, actions, reactions, interactions and other influences are interlinking, they will cluster together as a unique construct and then may form a system of unique constructs within a unique, three– dimensional space continuum that is 'gooey–dough–like'" (Ronczka, 2006). In Table 3 the supporting hypotheses have been detailed (Table 3) as they are likely to apply to

**Plasticity Non-Newtonian fluids Biological**

**CT-SMP Hypothesis Biorheological**

1. Constructs emerge as unique Y Y Y 2. Constructs could stay unique Y Y Y 3. Constructs have bonds Y Y Y 4. Might have a common vector Y Y Y 5. Strongest bond, at the pivot point Y Y Y 6. Profile changes Y Y Y 7. Uniqueness decay likely Y Y Y Table 3. CT-SMT hypotheses as they apply to Biorheology (Answers, 2010; Ronczka, 2006).

minimising the influence of 'de Montaigne' paradoxes (negative outcomes: '*nothing is so firmly believed as that which we least know'* (Lin, 2003 ; Collins, 2002)) and providing foresight based on knowledge—information—learning delivery engines (KILDEE's). Therefore CT used within WOSSI drives the development of KILDEE's to suggest the existence of 'biorheology causality logic gates' (B*–*COR gates) (Answers, 2010; Senese, 2005; Ronczka, 2009).
