C 3 W semantic Temporal Entanglement Modelling for Human - Machine Interfaces

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Introduction
This Chapter focuses on 'Command-causalities-consequences Wisdom' (C 3 W) semantics temporal entanglement modeling using 'Wisdom open system semantic intelligence' (WOSSI) methodology (Ronczka, 2009).A feature might be a Rubik-Schlangen type threedimensional system and wisdom-based delivery engine acting as a continuum with engagements.
WOSSI is a mapping system that allows identification of wisdom from lower order delivery engines and associated domains to acquire the information, knowledge, reasoning, and understanding whilst in an open-system context.WOSSI mapping has the outcome of minimising the influence of 'de Montaigne' paradoxes.That is, a possible negative outcome: 'nothing is so firmly believed as that which we least know', (Collins, 2002) that may drive conflicting tangibles and intangibles such as 'actual monetary benefits' and 'Willingness-topay' but still providing foresight based on evidence based 'knowledge-informationlearning delivery engines' (KILDEE's) for the user.
A modified Semantics approach based on WOSSI provides a mapping process that could account for the many complexities that interfaces are required to adjust too such as data mapping of the associated Ontologies, taxonomy of Semantics User Interfaces and Semantic Adaptive Systems.Interfacing Semantic and Semiotic may assist when it is required for various inclusion of natural languages to adjust to the intended user but yet overcome any adverse informatics outcomes when translated for oher users.

Problem addressed
Within the contextualization of Human-machine interface and supporting firmware information and knowledge there may be cognitive predisposition to the way information and knowledge may be processed within an interface C 3 W Kernel.If critical constructs and associated domains are therefore skew the Human-machine interfaces information and knowledge critical path outcomes might not be met and skew the Kernel (e.g.biological and non-biological).
Temporal entanglement of the interface memory with information-knowledge cipher-prima strings further complicates the interface C 3 W Kernel.This Kernel plausibly would be adaptive and assimilation the users preferences for how the presentation of KILDEE's is undertaken.What may exist are Human-machine interfaces information and knowledge critical path for Kernel (e.g.biological and non-biological) with a number of Rubik-Schlangen type three-dimensional system and wisdom-based delivery engines.
The associated firmware changes might in turn be required to be enabled in the WOSSI mapping systems that essentially allows wisdom to be identified from the lower order delivery engines information, knowledge, reasoning and understanding.This is suggested to be undertaken in an open-system (may be additionally known as open-source) to allow C 3 W for self correction.C 3 W Kernel self correction might be useful for Biorheology interfaces to help overcome impairments in Humans, weapons systems, wargaming.
Fiscal responsibility has recently been highlighted as an issue for general management that flows onto IT projects.These projects may have complex interconnecting engagement threads and stakeholder partnerships for a given business operation space.Such a view is not uncommon of Cost benefit Analysis (CBA): "One of the problems of CBA is that the computation of many components of benefits and costs is intuitively obvious but that there are others for which intuition fails to suggest methods of measurement" [1].
Problems associated with ranking projects tend to involve complexities with determining value for tangible and intangibles.A simplification is required for IT projects to drive clarity of how to achieve efficiency outcomes as traditional Benefit to cost ratio (BCR) has shortcoming for a given scenario-context.
The problem addressed by moving to 'Wisdom open-system semantic identification (WOSSI) mapping, is therefore to simplify the outcome of leveraging evolutionary jump in the way to control and management the systems of gates as entities, events and interaction change.To move one needs not to be stuck in the conceptual phase of design with complex digital circuit mathematic and logic Truth tables.Secondly, WOSSI uses cognitive bases with hybrid semantics to facilitate moving from the macro, meso, micro, and quantum-nano scales with minimal support conjectures [9].
Problems that need to be addressed in the context of impairments in Humans, weapons, gaming (wargaming) systems tends to be the following:


Human impairments overcome/minimised  Enhancements via entangled single-to-multiple chain delivery engines  Interoperability communication-companion Human-machines  Biorheology interfaces for Human-machine interfaces  Low rejection rates of host Bio material.

Methodology
The methodology focuses on benchmarking between how impairments in Humans, weapons systems, gaming (wargaming) systems are modeled using exercises.A wellexecuted and designed C 3 W) exercises ( Fig 1 ) are the most effective way to:  Clarifying roles and responsibilities  Demonstration of operating procedures through to communications  Improvement of communications,and operations with coordination  Identification of coordination surfaces and resource gaps to enable project completion  Improvement of performance (system to personal)  Identification of system improvements that need to be made (NCHRP 2006).Constructs are likely to be shown to exist and may act as a temporal meshing continuum of events and entities within critical decision points (Ronczka, 2006).
The second part of the journey involves distilling the critical Theme (Conjecture) questions initially using Ackoff system of filters 1 ::  How did the Literature Review to get Information Theory Themes? Why is there variability within a 'fit-for-purpose' ethos? What cross platform control systems and memory exist with information-knowledge? When does the combining the 'logic gates' and 'event horizon' of enablers used in information-knowledge patterning?


Where are highlighted the interconnected nodes and threads? Who is the driver of Semantics and Semiotic decision models, mapping and expressions? Why develop drivers to data interchange (EDI) and data cube aggregation for interfaces to help overcome impairments in Humans, weapons, Gaming (wargaming) systems?
The third I likely to involve testing using Causality:  Context of 'Internet Technologies and Applications'  Practical application examples to personalise the learning outcomes and the achieved competencies of participants.
Once testing has been undertaken an analysis to validate if say Semantic and Semiotic based information system is plausible initially using The basis of the methodology is to drive a paradigm shift via a cognitive Semantic and Semiotic interface mapping approach and strategic management planning (SMP) is a 'tool kit' help overcome impairments in Humans, weapons systems, wargaming.

Theory
Coalescence Theory based Semantic mapping has two principle conceptualisations, that is, 'Wisdom open-system semantic identification' (WOSSI) and the existence of 'Causality Logic gates' (COR gates) for use of Human-machine interfaces (Ronczka, 2006).
Human-machine interfaces could tend to be COR gates meshed and reflected within cognitive processes that semantic-semiotic mapping assists with.Current methods have extensive notations and mathematical fractals that make it difficulty for tech managers to understand the outcomes to be met and then develop the metrics to assist in monitoring.
As a stakeholders and partners the owner-funder-managers with the developer must have clarity and a common purpose.That is, the traditionally C 3 (say C 3T ) has been 'Command-communication-control' but does not fit the current realities of 'Commandcausalities-consequences' (C 3N ) required for transparency, clarity of purpose and having processes that met the required corporate governance (Ronczka [2], 2006).
WOSSI based on Coalescence Theory may have application to rheology of entangled, single and multiple chains to suggest biorheology logic gates -Coalescence Theory (CT) application to rheology of entangled, of single and multiple chains suggests the existence of biorheology logic gates using CT developed at the University of Tasmania.Using CT may h a v e p l a u s i b i l i t y i n u n d e r s tanding the dynamics of deformation and flow of matter (rheology) as related to entanglement of single and multiple chains as possible biological logic gates (B-gate or biorheology logic gates) within bio-delivery engines and subdelivery engines.Entanglements perhaps are the outcomes of coalescence processes and possible are part of a biologically based control systems approach.With the assistance of 'Wisdom open-system semantic identification' (WOSSI) mapping, what might be further suggested is the existence of entangled single-to-multiple chain 'causality logic gates' (COR gates).A likely outcome could be biorheology machine systems that provide SIANS (synergy, integration, assimilation narrative and synchronization) for strand-to-threads-tochains (S2T2C), to accounts for random radicals in a dynamic continuum and achieve a human-machine partnership with enhanced biological entities (Ronczka, 2010).

Wisdom as multiple-dimensional
Lets start the journey, what is wisdom?It may be suggested to be a capability that has the outcome of decision that is likely to be based on perceived, discovered, or inferred insight (Ask, 2010).
If wisdom cannot be limited to the intellectual or cognitive domain but encompasses the whole person, it might be more important to find out what a person is like rather than what a person knows to measure wisdom.In terms of 'expert in wisdom' this might involve integration of cognitive, reflective, and affective characteristics (Table 1) (Ardelt, 2004).
Dimension Definition Operationalization Cognitive Intrapersonal and interpersonal meaning of phenomena and events with knowledge and acceptance Ability and willingness to understand the Knowledge and acknowledge uncertainties.Reflective Multiple perspective perception of phenomena-entity-events from selfinsight.
Ability and willingness to look at different perspectives of the phenomena and events.Affective Compassionate-sympathetic Behavior toward entity and events.
Table 1.Wisdom as a three dimensional.

WOSSI -COR gates
Traditional Logic gates are the building blocks to digital logic circuits via combinational logic.This may cover mono concepts such as NOT gates (or inverters), AND gates, OR gates, NAND gates, NOR gates, XOR gates, and XNOR gates.WOSSI based Logic gate mapping tends to be a cognitive-human-machine process.
The focus of WOSSI mapping is on the nexus of WOSSI-COR gates on how they entangled single-to-multiple chain 'knowledge-information-learning domains (KILD's) using Information Theory.These entangled-single-multiple chains might exist in multiple operating dimensions as Möbius strips hybrid 'Biorheology causality logic gates' (B-COR gates).The B-COR tendency may be to act as a biological 'knowledge-informationlearning delivery engines' (KILDEE's).Conceivably, the fusion of human-machine Markov chain Biorheology interfaces (Fig 3) might be the next 'Internet Technologies and Applications' evolution (FEDEE, 2001). www.intechopen.com
To allow validation and plausibility of the existence of WOSSI data cube embedded KILDEE packets conceptualization a process may use Information Theory, plausible hypotheses.Secondly, hypotheses could allow highlighting of WOSSI-B-COR entangled single-tomultiple chain KILD's philosophies to undergo convergence and merging at event horizons of: (Carbonell, 1979;Ronczka, 2010). SIAN (Synergy, integration (Interoperability), assimilation and narratives) (Carbonell, 1979). BRI (Biorheological informatics: use of mathematics, statistics, and computer science approaches to study biological interfaces of life sciences (e.g.biology, genome) (Fuberlin, 2010).
WOSSI-B-COR entangled single-to-multiple chain KILD's convergence and merging as Biorheology interface hybrid access act as drivers.Conceivably the fusion of humanmachine in the workplace-community may achieve life style and Health benefits."In the workplace of the future the most important ingredients will be people and knowledge.The technologies that are mesmerizing us today will be recognised for what they really are-the embedded tools for doing business" (Goldsworthy, 2002).Semantic and Semiotic neutral nets may be a way forward for Biorheology interface hybrid access ('devices-entities-eventsprocesses') to overcome impairments?
Within the dynamics of deformation and flow of matter (Rheology), biological logic gates (B-gates) with bio-delivery engines might be the reality for Human-machine 'Worldwide Interoperability' communication-conversation.Like in human communications there are misunderstanding (random radicals) that are possible within the supporting spectrums and bandwidths as they exist over multiple hybrid access interfaces.

Augmentation of systems
Augmentation of host's and systems may focus on intellectual effectiveness, wisdom extraction and assimulation-adaptation to the users needs (Guanxi type C 3 W).Use of Guanxi type C 3 W personalised command, control and communication (C 3 ) networks of influence could translate into impairment correction and enhancement Human-machine interfaces.
The enablers are likely to be C 3 W Informatics Semantic temporal mapping.
In the context of mapping Artifical Intelligence (AI) and Artifical Wisdom Intelligence (AWI) appears to require development of a Semantic-Semiotic based control-language vocabulary and sybolism to translate into impairment correction to augment interoperability between biological and non-biological interface communication-conversation.This therefore suggests alternatives to augment both the biological host and non-biological AI (e.g.symbolic, connectionist; situated activity).As both the host and AI are meshing and merging processes, there could be cognitive science implications that suggests the likely existance of AI impairment that may be random radicals that adversely impact on achieving correction and enhancement of Human-machine interfaces (Engelbart, 1968;Spector, 2001).
Augmented Reality (AR) together with AI within a host (entity) may result in compounding error correction (e.g.biological host and non-biological AI Adaptive Intent-Based Augmentation System that have contra wisdom intends) with unintentional consequences.Such a augmented wisdom entity may have unique Biorheology interface entangled singleto-multiple chain KILD's for a Guanxi type C 3 W personalised command, control and communication (C 3 ) networks access between Human-machine 'Artifical life derived entity replication' (ALDER) which may be user modified ('Artifical life guided entity replication' (ALGER).Artificial life that is being suggested to be the bases to Human-machine interfaces tend to involve integrates motor, perceptual, behavioural, and cognitive components (Terzopoulos, 2009).
Depending on the user and systems shared understand and knowledge the communicative mechanism and intent may need C 5 M with SIAN to lever the required level of AR application augmentation.This augmentation may suggest need for decision caution, need for diagnosis and intervention or entity re-purposing (AIBAS, 2006;Adkins et al., 2003).
Via Informatics Medicine (definition of Informatics medicine refers to using informatics for medicinal purposes) AWI's coulds be could be the leap beyond 'virtual entity-person in a reality environment' (Avatar).A version may be the 'artificial life derived entity replication' (ALDER) to 'artificial life guided entity replication' (ALGER).The may assist by augmentation of 'human like operations' to overcome impairment or enhance capabilities.

Delivery engines
Various logic delivery engines requires complexities in the supporting knowledgeinformation-learning.What may be an outcome are false negatives, confusion, or skewed interpretation (Watkins, 2000;WSU, 2003).
www.intechopen.comDelivery engine are a devices that probably is a process or series of processes or subdelivery engines that interact for a common purpose, milestone, or outcome to achieve a specific deliverable.It is likely to have an analogy with legislative machinery within the judicial system enacted by a set of predetermined protocols when an event occurs.This machinery comes into being by the coalescence of unique trigger events, informationknowledge that has temporal meshing to facilitate a decision, event or process (WSU, 2003).

Simple causality mapping
An initial simple mapping tool is required to validate 'proof-of-concepts' before moving into complex mathematics and Truth Tables.A simple mapping tool facilitates adjustment of support knowledge-information-learning that might span discrete and possibly dilated entities, events and relationships in time, space, place, and tempo.
This paper therefore, put forward a plausible paradigm shift using wisdom-based opensystem mapping of causality.By doing so, the blocks to digital logic circuits are broadened to provide nexus wisdom based 'Causality Logic gates' (COR gates; Fig 4).These gates are able to provide SIANS (synergy, integration, assimilation narrative, and synchronization) for clone strands to or with other hierarchies and hybrid gates to enable an evolutionary jump(s) 2 .

Knowledge-informationlearning threads
Logic gate (3D data cubes with packets)

Critical path
Causality Logic gates' (COR gates) Logic gate (3D data cubes with packets)

Paradigm shift
Such an approach is the acceptance of adaptation to real world negative feedback loops with the interplay of causalities and consequences: Return to the input of part of the output'  Negative resultant actions e.g.'Willingness'  Opposing the condition that triggers it (continuum)  Output of a pathway inhibits inputs to another or the same pathway  Control systems part of output may be 'fed back' to the system, resulting in an actionreaction in the opposite direction (Golec, 2004;Bowen, 2001).
Identification of critical paths and enablers to the existence of 'Command-causalitiesconsequences' (C 3N ) (Dictionary, 2004) e.g.'Willingness-to-pay' or 'benefit' for a given scenario-context.
A new paradigm of cognitive adaptation is not to say that there is no nexus between the 'Command' construct in both the C 3N and C 3T mode.Causalities-consequences might act as a continuum of drivers and as such making it no longer acceptable to fund projects without a business case, being within a strategic management planning framework or having defined outcomes.
The developer has a self interest by way of ensuring a bonus is paid at the delivery stage within the projects set financials.The outcome therefore sought is to drive corporate governance; transparency with Total Quality Management (TQM), and Continuous Quality Improvement (CQI) (LeBrasseur, et al., 2002;Nüchter, et al., 2008).

People and knowledge
This is not a new concept but still provides guidance to owner-funder-managers."It will be knowledge that will provide sustainable competitive advantage, and knowledge is the capital of people" ( Goldsworthy, 2002) or are likely to have radicals as drivers of uncertainty and 'Willingness-to-pay' or 'benefit' conflicts.
Simple Semantic and Semiotic mapping may be a way forward?A recent view point is provided by Dr. James Canton Institute of Global Futures CEO and advisor on Fortune 1000:  "Despite the bleak economy and uncertain future, technology is key to our future" and  'Tech workers and IT leaders are in a unique position to create opportunities for themselves" (Daniel, 2009).
People knowledge-information-learning management are the corner stones of any plausible C 3 semantics modeling-dynamics to assist owner-funder-managers and developers as partners.
Various management and leaning styles exist that may complicate the implementation and use of ridge processes and tool sets.It is therefore appropriate to utilize a continuum approach that allows a practitioner to start and finish at any point and achieve workable outcomes such as cognitive adaptation and capabilities.

Semantic mapping
Semantic mapping (Fig 5) has variability within a 'fit-for-purpose' ethos (e.g.F-semantics; I-semantics).'Fit-for-purpose' results in the need for cross platform control systems and memory with information-knowledge cipher-prima strings that may support families of delivery engines.Semantic mapping aids in verification, interoperability and collaborative distribution and facilitates moving from the macro, meso, micro, and quantum-nano scales within key themes (Table 2) for a given scenario-context.Coordination _semantic (Armarsdottir, et al., 2006)  Mapping;  Processes solve the interoperability emerges;  model-Reference Ontology;  Proposes a layered approach in the system.

Semiotic mapping
In summary Semiotic mapping comprises: Unmasks the deep-seated rhetorical forms and underlying codes that fundamentally shape entities realities (Ryder, 2004;Lemke, 2001).

Guiding parameter
Essentially C 3 semantics modeling-dynamics mapping is based on 'reasoning' and 'understanding' using dynamic information and knowledge domains in the context of Ackoff system of filters.An example may be a mobile machine cognitive map that may "contains, in addition to spatial information about the environment, assignments of mapping features to entities of known classes" (Uschold, 2001).
The semantic process serves another purpose to facilitate the 'resource description framework' (RDF) which is drawn from the traditional project management processes.If this is the commonality then C 3 'semantic project management mapping' (SPMM) stresses the 'semantics' core meaning of really 'itself' using knowledge-information-learning domains.
In the SPMM context there is a reliance on meaningful communication with and within dependant or independent domains that interact with various entities and events.This therefore leads to a continuum: www.intechopen.com

Graphic notations
A graphic notation tends to be cognitive by nature and as such is a feature of a semantic network or network.As an enabler, what is suggested is representing informationknowledge domains with patterns and symbols.By doing so the various management and learning styles are able to be accommodated.Additionally, what are highlighted are interconnected nodes and threads with alignments with philosophy, psychology, and linguistics (Sowa, 2006).
So what should it be F-semantics, I-semantics or a hybrid?F-semantics that is, the semantics is deterministic: no stable models or well-founded model is empty, but is meaningful.I-semantics namely lexical semantics: no principled reason to restrict being an ad hoc stipulation or satisfying declaratives for agent programs or a hybrid?(Phan Luong, 1999;Tancredi, 2007;Eiter et al., 1999).

Command and control
Command (to direct with specific authority) and Control (to exercise restraint or direction over (Dictionary, 2008) (Ask, 2010)..
Control system in summary can be considered a "system in which one or more outputs are forced to change in a desired manner as time progresses; Interconnections of components forming system configurations which will provide a desired system response as time progresses" (Ask, 2010).
The 'Wisdom open system semantic intelligence' (WOSSI) is essentially a 'wisdom' mapping systems that fundamentally allows wisdom to be identified from the lower order delivery engines and sub-delivery engines information, knowledge, reasoning and understanding in an open-system (may be additionally known as open-source) (Ronczka, 2006).'Wisdom abstraction virtual intelligence' (WAVI) threads tend to have variable bandwidth within and between the connecting and interconnecting COR logic gates.

Information-knowledge-domains'
These COR logic gates act as 'knowledge-through-to-wisdom' (KTTW) delivery engine(s) and sub-delivery engine(s).These engines contain sub-COR logic gates (CORS) within and with specific 'memory open-system semantic yielding' (MOSSY) information domains accessed any 'place-time-way' C 3 M 3 .Plausibly WAVI 'wisdom-informationknowledge-domains' (WIKED) exists in multi-dimensions and may be dilated and temporal.They can exist in both the virtual and actual reality with causality and can be identified by the Ackoff system of filters to drive augmented wisdom with common sense systems via cause-effect; inputs-outputs and desire outcomes.

WOSSI drives biorheology 'Causality Logic gates'
Wisdom open-system semantic identification ( W O S S I ) i s a m a p p i n g s y s t e m t h a t a l l o w s identification of wisdom from the lower order delivery engines information, knowledge, reasoning, and understanding in an open-system.WOSSI mapping has the outcome of 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).

Causality logic gate themes
This covers themes that are put forward in the general literature within the causality logic gates context maybe suggested being 'Decomposition' to 'Enablers'.

Decomposition
The logic decomposition uses standard-C architecture for complex gates to promote optimization (Kondratyev, 1999).

Discrete
Discrete space-time, but discrete space-time tends not to be quantum, as C drives Boolean logic and might not allow cycles but does suggest mapping quantum space-time into protospace-time via XOR gates (Zizzi, 2003).
Causality cycles between systems, preconditions, and "that stronger notions of causality are reasonable, as long as they retain the relation between stabilization of circuits, existence of dynamic schedules and constructive programs" (Schneider, 2005).

Complementary-symmetrical
Effect of logic circuits based on Markov random fields in Complementary metal-oxidesemiconductor (CMOS) occur using 'complementary-symmetrical' (C-S) pairs for logic functions and the need for a paradigm shift (Nepa, 2006).
Logic gate need a level of simulation that provides comparable accuracy and control of events without expensive code pre-processing (Riepe et al., 1994).Digital circuits known as combinational circuits occur with cycles (Riedel et al., 2003).
Boundaries, surfaces and gaps exist between gates that that may lead to random radicals.This may lead to spoofing and making the circuit behave in combination with externality gates not within the desired operating space or bandwidth parameters (Neiroukh, 2006).
www.intechopen.comSynthesize connections via additional gates may occur as an outcome of disconformities within the semantic model and coding (Chung, et al., 2002).

Reasoning
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, 1998).
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 Non-Aristotelian Logic.(Alder, 2004).

Enablers to Logic
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 context or series of constructs to achieve specific deliverable.

Coalescence Theory and biorheology
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, threedimensional 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 biorheology (Answers, 2010;Senese, 2005).3. CT-SMT hypotheses as they apply to Biorheology (Answers, 2010;Ronczka, 2006).

Biorheological categorisation are:
 Plasticity: which describes materials that permanently deform after a large enough applied stress including the ability to retain a shape attained by pressure deformation and the capacity of organisms with the same genotype to vary in developmental pattern, in phenotype, or in behaviour according to varying environmental conditions (Answers, 2010;Merram-Webster, 2010).The resistance a liquid exhibits to flow.Experimentally, the frictional force between two liquid layers moving past each other is proportional to area of the layers and the difference in flow speed between them (Answers, 2010;Merram-Webster, 2010). Biological: relates to biology or to life and living processes (Answers, 2010;Merram-Webster, 2010).

Temporal entangement mapping 20.1 Temporal mapping
This is essentially a visual aid for simplifying an expression; function; entities; events; interactions-to-influences over a time interval (Gregersen et al., 1998).

Entanglements (single-multiple) associated with Packets
There tend to be three domains to an entangled packet format:

Interfaces
To assess interface effectiveness an Heuristic Evaluation is utilised as prime metrics:  Visibility of system status: system with feedback within reasonable time.


Consistency and standards: system follow conventions? User control and freedom: system offers control when mistake made? Flexibility and efficiency of use: system is flexible and efficient? Recognition rather than recall: system assists user to remember information (Sambasivan et al., 2007)?
What is suggested is that the concepts of user interface design ideally allows:  (Jones et al., 1995).

Semantic interfaces
The Semantic interface has specific requirements:  Effective: means of communication which has proven itself in practice? pre-established: human-defined ontology rely upon? Communication: can only proceed by the interpretations of behaviours, common behaviours?(Wagner et al., 2001;Eiter et al., 1999;Phan Luong, 1999).

Semiotic interfaces
The Semiotic interface has specific requirements:  Metaphor: such as a new idea is created from the fusion of the two original ideas, or our understanding of the first idea  Mental models: that are cognitive based for human-computer interaction  User System usage comprises: D1: concepts the user knows and uses; D2: concepts used only occasionally and not initially known; D3: the user's model of the system (i.e. the set of concepts the user thinks exists in the system); D4: the actual system (Joslyn, 2001;AIBAS, 2006;CSCS, 2004).

Biological interfaces
Biological interfaces tend to drive:  preloaded firmware a feature of the biological entity  Spoofing (rejection rates; skewed data-actions; random radical events?)  Entity-event-data cascade (coalescence Theory)  Cognitive: a visual focus due to eye construction -3D mapping temporal dilation (version of atom structure).(Carbonell, 1979;Adkins et al., 2003).

Administrative Web Interface (AWI) for telecommunications
An administrative web interface provides for:

Results
Information and Causality Logic Gate Themes, as an initial stage, a review starts with statements and conjectures about what the literature considers Information Theory and Causality logic gates to be.The outcome required was the establishment of common themes that aid any 'place-time-way' C 3 M 3 .

Themes
Using Ockham's razors, Information Theory, and Causality logic gates enables themes to be filtered (Table 4).
These Themes appear as a continuum (Tables 4 and 5) that could be further clarified through the Theory of conversation shown in Fig 6.
The feature that stands out is that the COR's occur as required any 'place-time-way' C 3 M 3 .COR's and not mono, they will find the cross platform control systems and memory with information-knowledge cipher-prima strings that may support families of delivery engines to achieve the desired outcome.The analogy may be from project management and the use of critical paths for the tasks and required resources.(Collins, 2002;Als, 1999).

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).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).

Wisdom open-system semantic identification
A paradigm shift occurs in the mapping of digital circuits by using 'Wisdom open-system semantic identification (WOSSI) mapping (Figure 8).This paradigm shift aligns more to project management and the use of critical paths and acceptance of random radicals.Schneider et al. (2005) work provides the foundations to move forward using the declared series of Theorems.
A question that is simple in nature from a colleague "what are you trying to do" leads to some form of cognitive interchange that semantics is an enabler.Cognitive influence of 'de Montaigne' paradox affects the outcomes of mapping and the practitioner's determinations.

Achoff filters
Achoff filters (Table 8; Figure 5) coalescence suggesting further alignment between causality, wisdom and Logic gates and scribing of the critical path.The KILDEE threads traced out the aligning WIKED's via control system mapping of logic gates and multiplexing.  .WOSSI map of simple relationships and attributes (Mei, 2008;Ackoff, 1962;Wikipedia, 2009;Wikipedia, 2009).

Plausible C 3
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 followed by more complexity.

Multiplexing
(Hypercube packets temporal dilation?) Unintended consequences of an expeditionary cultural mentality might be a diminished rather than enhanced 'Command-communication-control' (C 3T ).The bonus could be lost due to a skewed semantic C 3 entity constructs or scenario (Bellinger, 2004;CSCS, 2005).

Semantic mapping
The conceptualization assists in tracing the critical path memory using semantic mapping.Semantics utility is in how one infers a relationship between the signs of an event or entity and the things they refer to (Chung, 2002).Semantic mapping (Fig 12) has been undertaken with Guiding parameter and Achoff filters.Fig. 12. Semantic map of simple relationships and attributes continuum (Schneider et al., 2005;Neiroukh, 2006;Chung, et al., 2002;NAVEDTRA, 1998;Wikipedia , 2008).

Causality logic
Table 9 details the linkage of guiding parameter as 'delivery engine domains' within a causality framework.There appears to be immediate cause alignment with causality and consequence.

Discussion
Logic gate and WOSSI mapping has a predisposition to be semantics by nature and therefore tends to be a biological-cognitive-human-machine process.As such, the associated mechanisms and tools perhaps could be influence by the 'de Montaigne' paradox, and causality-consequence creep.Traditional Logic gates are the building blocks to digital logic circuits via combinational logic that provides the foundations to move to B-COR gates.This has therefore required the need to draw from the solid foundations provided by traditional mono gate concepts such as NOT gates (or inverters), AND gates, OR gates, NAND gates, NOR gates, XOR gates, and XNOR gates (Lin, 2003;Als, 1999).
Plausible B-COR gates may be based on KILDEE's that have a common entangled-singlemultiple chain themes such as 'any-place-any-time-any-way' .Pushing the conceptualisation further, B-COR gates possibly will exist in multiple dimensions with temporal KILDEE's e.g. return to its starting point having traversed both sides of the strip, without ever crossing an edge of any dimensional state [all possible states]-n greater than 3 called hyperspaces hypercube/Hyperspheremoves between and within itself].There could be biological-cognitive predisposition to the way information and knowledge may be used between human-machine partnerships with enhanced biological entities?
A 'tool kit' is able to be suggested to technology managers that is cognitively driven and not filled with complex data manipulations.As such the IT managers have a KISS 'tool kit' with portability and adaptability to meet the various management and leaning styles.

Semantics-dynamics
By focusing on required capability and reward required for effort a technologist or manager might use the 'Bonus' entity in the continuum (Plausible C 3 Semantics-dynamics).Both the manager and the technologist practitioner are able to find a commonality by starting and finishing at any event or entity within or external to the continuum.
Another example might be if manager viewed 'Obligations' within the business management cycle to be part of a continuous improvement initiative.By having an understanding of the critical path memory highlighted within the continuum then drivers of the technology practitioner bonus may be proposed with various risk profiles and program logic relationships.The practitioner would be aware of the likely causality.Both parties would then determine their 'Willingness-to-pay' and 'Willingness-to--benefit' which is a form of ROI to participant.

Stakeholders-partnership
The next step in the 'tool kit' is to have a KISS mechanism that qualifies the many interlaced tangible and intangibles.A plausible A 3 -Stakeholders-partnership using SMP as a 'back or envelope' calculation is suggested.
What is provided is a semantic-cognitive mechanism.A critical path memory exists and can lead to strengthening efficiency outcomes.The system of Ackoff threads through to packets of C 3 have a quantifiable 'delivery engine domains' within a semantic modelingdynamics that works as a continuum.
What is inclined to be formed is a nested 3-by-3 matrices using the guiding parameters.Between these nested 3-by-3 matrices could be determined critical path memory.This memory can be change with the re-assignment of nested 3-by-3 matrices values by either the manager or technologist practitioner.
Such an approach of tool-sets adjusts the various management and learning styles.There is commonality between and within the nested 3-by-3 matrices as one, some or all may be used and still result in an achievable outcome.
The main Ockham's razor point of the paper are, firstly, CT application to rheology of entangled, single and multiple chains suggests the existence of biorheology logic gates.
Secondly, these gates appear to have entangled-single-multiple chains that plausibly are critical paths that influence the circuit logic gate system.Thirdly, B-COR's have the capability to multiplex.Fourthly, biorheology machine systems are likely to provide SIANS as intended consequences for S2T2C.Fifthly, it is likely the number of random radicals have un-intentional consequence in a biological dynamic continuum.The Truth Tables connectivity for B-COR's will be addressed in a separate future research paper.

Conclusion
The owner-funder-managers may now identify the semantic causalities-consequences that could have been hidden in the traditional complex mathematics approach.A critical path memory within the C 3 semantic modeling-dynamics continuum (SMDC) is clearly seen.This allows owner-funder-managers to effective manage and to then bring technology project and capability under the financial limits.Secondly C 3 SMDC could have a critical path memory to aid connectivity and engagement for a given scenario-context of all stakeholders.Lastly but not least, the technologist can identify the projects that attract the greatest bonus for their efforts and skill sets.

Plausibility of concepts:
Biorheology interfaces may help overcome impairments in Humans, weapons systems, wargaming was plausible: A number of Rubik-Schlangen type three-dimensional system and wisdom-based delivery engine appear to act as a continuum with engagements that could be suggested from the survey questionnaire responses, to guide a weapons sytem-wargaming ‚foresight strategic management planning' (FSMP) processes.They may both work as a Rubik-Schlangen type, three-dimensional system and wisdom-based delivery engine in the given business context (Fig 13).These make it plausible to have the outcome of delivering the best possible business results and tap into the future potential within this particular business operating environment but have filters working as a continuum (SMP human-machine delivery engine) that could be under the influence of 'de Montaigne' paradox and subject to management process spoofing that skews SMP causality.

Implications for future work
The findings of the work may suggest the possibility to semantic via WOSSI enabling augmented reality with 'artificial life derived entity replication' (ALDER).This could be the leap beyond 'virtual entity-person in a reality environment' (Avatar).The 'artificial life guided entity replication' (ALGER) may assist 'human like operations' but conforming to established ethics and minimising unintended consequences such as 'operation not possible' outcomes.
Informatics Medicine as an option in the Medical Practitioners intervention toolkit:  AIM: To emphases the use of informatics for medicinal purposes  SCOPE: Traditionally the focus of Medical informatics has been supported by intelligent decision technologies within the health system.On the flip side of "Medical informatics" is its use as an overarching distinct specialty discipline of medicine that is 'Informatics Medicine as an option in the Medical Practitioners intervention toolkit.

Acknowledgment
The Author wishes to thank Australian Maritime College, University of Tasmania, Launceston, Tasmania, Australia for their support in his Adjunct role and WOSSI and Biorheology informatics research.Secondly, to thank Dr Muhammad Tanvir Afzal, Research Group Leader, Center for Distributed and Semantic Computing, Mohammad Ali Jinnah University, Islamabad, Pakistan the books Editor and InTech for this opportunity to detail C 3 W semantic temporal entanglement modelling for Human-machine interfaces.

Fig. 1 .
Fig. 1.Cycle of planning training, exercises, and improvement actions (NCHRP, 2006) The basic conceptualization seems to have a relationship with traditional 'strategic management planning (SMP) systems and processes (Fig 2).The journey commences with a continnum:  develop drivers of reasoning might gain an human-machine evolutionary jump in achieving wisdom integrated management information system (MIS)  data interchange (EDI) and data cube aggregation via information packets by way of human-machine interfaces (neuro-fuzzy wisdom sub-delivery engines) could exist Constructs are likely to be shown to exist and may act as a temporal meshing continuum of events and entities within critical decision points(Ronczka, 2006).

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Object: "Immediate; dynamic"  Sign: "representation"  Interpretation: "Immediate; dynamic; logical" Semiotics Themes (Fig 6) are inclined to be:  Analysis is deemed essential for providing information and critical skills for interface and media literacy. Informs about a text, its underlying assumptions and its various dimensions of interpretation. Context with a operating-cultural structures and entities (human-machine) motivations that underlie perceptual representations. Offers a lens into entities (human-machine) communication. Sharpens the entities consciousness surrounding a given text. Rejects the possibility that can represent the world in a neutral fashion. [must]; explicit [description] or implicit [consensus]; essential [outcome to be met])  Suitably (informally [likely] or formally [will])  Processing (human or machine or both)  Freedom of action (operating space; Limitation; restrictions; boundaries; opportunities; risk)  Causality (facts; assumptions; criticality)  Consequence (deductions; shape; course of actions; areas of interest) coalescences of delivery engines for a given scenario-context.

Fig. 7 .
Fig. 7. Semantic mapping and Theory of Conversation(Wagner, et al., 2005;Avery, et al., 2004).Theory of Conversation (ToC), have the following key domains (Fig 8):  Long term memory (LTM). Captured in conversational to consequences (CAC)  Short term memory (STM) Mixed-Initiative Conversational System (MICS)(Carbonell, 1979)  Non-Newtonian fluid: Compare with Newtonian fluid: A fluid whose viscosity changes when the gradient in flow speed changes.Colloidal suspensions and polymer solutions like ketchup and starch/water paste are non-Newtonian fluids (e.g.ketchup, blood, yogurt viscosity.What is the determinate is the coefficient of viscosity: Describes what each type of packet looks like  Tells the sender what to put in the packet  Tells recipient how to parse the inbound packet (ANU, 2010) In terms of entanglements (single-Multiple) associated with Packet Semantics the domains are:  Sender and recipient must agree on what the recipient can assume if it receives a particular packet  What actions the recipient should take in response to the packet  May be described using a Finite State Machine (FSM) which represents the transitions involves in the protocol (ANU, 2010).What are Semantic and Semiotic entangled-single-multiple chains based on:  Complexities in the supporting knowledge-information-learning domains  Multiple operating dimensions as Möbius strips  'Biorheology causality logic gates' (B-CORG)  Biological-machine 'knowledge-information-learning delivery engines' (KILDEE's)  Unique trigger events, information-knowledge that has Biological-machine temporal meshing  Fusion of human-machine via Markov chain B-CORG Biorheology interfaces = evolution.
10 D (a point) Length-widthdepth-time Plasmozoids 'apparitions' 7 D (a line) Sixth dimension Single point N-dimensional space "Kernel on the critical path = Möbius strips" "Duration" 4 D (a line) Length-width-depth-time COR www.intechopen.com Fig 10 details the likely WOSSI circuits and continuum that forms a COR logic gate that may exists in multiple operating dimensions as 'U' and 'W' or hybrids.The COR act as 'knowledge-through-to-wisdom' (KTTW) delivery engine(s) to give plausibly equivalent circuits sets of 'wisdom-information-knowledge-domains' (WIKED).The concept of causality could be uncertain at the Planck scale in tracing the critical path memory.

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Temporal Mapping Informatics use Semantics and Semiotics for Interfaces (Biorheology)  Interfaces may have wisdom critical path threads may have the capability to multiplex  may be basis to 'proof-of-concepts' for quantum control systems  plausibly exists in hypercube/Hypersphere N-dimensional space  Need to processes 'Keep It Simple and Stupid Sensible' (KISS)  Actual mechanism needs clarification: Evolution, Assimilation, Adaptation, Transformation, Deviation, or Mutation.24.2 Validates Semantic and Semiotic based hypothesis -plausible? Semantics and Semiotics are part of an information system that may adapt and assimilate Biorheological information into a Host  Semantic and Semiotic entangled-single-multiple informatics chains exist to assist medical interventions and countermeasures  Semantic and Semiotic Interfaces have nexus nodes that transition Biorheological information to and from Host C3M3 kernel What was emphasised was that WOSSI proof-of-concepts' demonstrates COR's wisdom critical paths that influence the circuit logic gate system.Secondly COR's have the capability to multiplex.The Truth Tables connectivity for COR's will be addressed in a separate paper 24.3 Rubik-Schlangen type three-dimensional system and wisdom-based delivery engine acting as a continuum with engagements?
system theme have a nexus:  Reasoning: A cognitive process of looking for reasons for beliefs, conclusions, actions or feelings (Deductive reasoning [support that conclusion]; Inductive reasoning [phenomenal patterns]; Abductive reasoning [attempt to favour]; Fallacious reasoning [fallacy])

Table 6 .
Causality themes -logic gates-blocks Venn diagrams, Boolean algebra and Karnaugh maps (K map) may be developed for all logic gates detailed within Table 6 to detail operations.Fig 7 details a traditional Venn diagrams for NAND Equivalent Circuits stressing the input to output relationship.If log gate Kernels are on the critical path the WOSSI concept can be used to highlighted them(Fig  9)