**22.3 Symptoms– immediate cause– remote cause**

A further refinement could be by providing a level of causality (Table 7), and relationship association. This is likely to indicate how useful the information might be considered and tested with an Ockham's razor outcomes aligned to causality (Carbonell, 1979; Wagner et al. 2005).


Table 7. Causality Themes —logic gates – Causality.

A note on Causality: Symptoms: Affects—factors specific to an event or occurrence. Immediate cause explains why the event or occurrence has occurred. Remote cause may explain why the event or occurrence has occurred (Carbonell, 1979; Wagner et al., 2005; Hobbs, 2005; Bellinger, 2004; Mei, 2008; Ackoff, 1962; Wikipedia, 2009).

C3

W semantic Temporal Entanglement Modelling for Human - Machine Interfaces 271

Fig. 10. WOSSI map of simple relationships and attributes (Mei, 2008; Ackoff, 1962;

**Continuum of inputs and outputs**

**'De Montaigne' paradox delivery engines** 

**10D[W[** (a point)

**Multiplexing**  (Hypercube packets temporal dilation?)

Critical path of COR's (kernel)

**3D[I]** (a fold

Spoof delivery engine

**5D[K]** (a split)

The fundamental question may be "*what's in it for me*". In the financial context, it perhaps is shares of the bonus at the end of the project. An undesirable outcome would be complexity

Multiple decision points

Wikipedia, 2009; Wikipedia, 2009).

**COR Delivery engine**

Fig. 11. WOSSI map (COR gates) Logic.

Human–machine delivery engine

External operating environment

**Internal operating environment** 

**3D[I]** (a fold

followed by more complexity.

**22.6 Plausible C<sup>3</sup>**

**6D[U]** (a fold)
