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The Architecture of a Mind-Machine
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DOI: 10.1016/B978-0-12-805478-9.00029-7
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2. THE ARCHITECTURE OF A MIND MACHINE
CHAPTER SUMMARY
1
1
Chapter 29
The Architecture of a Mind Machine
CHAPTER SUMMARY
In this chapter, we take bold step and propose the unthinkable: The genesis of a Customizable Mind Machine.
Thought that stems from the mind is deeply seated in a biological framework of neurons. The biological origin lies
in the marvel of evolution over the eons and refined ever so fast, faster than in the prior centuries. Three (a, b and
c), triadic objects are ceaselessly at work. At a personal level (a) Mind, knowledge and machines have been
intertwined like inspiration, words and language since the dawn of the human evolution and more recently (b)
technology, manufacturing and economics have formed a web for (c) wealth, global marketing and insatiable needs
of humans and civilization. These triadic cycles of nine essential objects of human existence are spinning quicker
and quicker every year. The Internet offers the mind no choice but to leap and soar over history and over the globe.
Alternatively, human mind can sink deeper and deeper into ignorance and oblivion. More recently, the Artificial
Intelligence at work in the Internet had challenged the natural intelligence at the cognizance level in the mind to find
its way to breakthroughs and innovations.
We integrate functions of the mind with the processing of knowledge in the hardware of machines by freely
traversing the neural, mental, physical, psychological, social, knowledge, and computational spaces. The laws of
neural biology and mind, laws of knowledge and social sciences and finally the laws of physics and mechanics, in
each of the spaces are unique and executed by distinctive processors for each space. Much as mind rules over
matter, the triad of mind, space and time creates a human-space that rules over the Relativistic-space of matter,
space and time.
Keywords—Mind, Knowledge, Machines, Technology, Human Needs, Knowledge Windows, Perceptual Spaces
29.1 INTRODUCTION
The marvels of nature have challenged understanding since the inception of human mind. It remains a
philosophic issue if we evolve to understand nature or nature that will shape our understanding. Be as it may, the
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modern age make scientific thinking and modern machines the prime movers towards progress. The inroads of
scientific thinking can be pushed deeper into structure of nature to explore more of its hidden microstructure.
Supplemented by the numerous inroads in biological neural sciences (biology), the functioning of mind
(psychology), the organization of the society (sociology), knowledge science (knowledge machines) and
physical/real spaces (physics and chemistry), the principles in computer science offer the broad perspective of a
much larger Super-space of Mind, Matter, Space and Time.
In this chapter, we cross the borders of disciplines without violating them. The embedded and proven truth in
each subject is reinforced, and notions are dispelled. The pursuit of perfect order is surrendered for a more mundane
quest of working knowledge to build enriched structures in this Super-space. After all the imperfect physics of
Newton solved many a gravitational problem before Einstein modified it (ever so slightly). Ampere and Gauss had
formulated their own rudimentary laws before Maxwell integrated them.
Internet society leaves no time for such prolonged developments and the evolving knowledge science plays out
its own important role. Intelligent Internets constantly update knowledge and knowledge plays its fundamental role
in the accurate functioning of the mind-machine. This inter-dependence is represented in Figure 29.1 and its three
layer structure.
Figure 29.1 Hierarchy and Foundation of a Mind Machine. Control and Command for this machine is
dispatched at the highest layer. The application programs and the lower two layers access the content
and the methodology to solve the humanist problem based on AI and ES systems distributed in the
local, corporate and global networks. Communication is provided by the middle layer by deploying the
protocol already established in Internet and backbone networks.
29.2 THE CONCEPTUAL FRAMEWORK
Human life deals with reality of making ends meet in biological, psychological, mental, and social domains.
Need and gratification are operative for both objects and actions. The domain laws are variable in order to acquire
objects to gratify and to perform the actions on objects that gratify. We apply this basic universalism in all
disciplines to deal with reality. When the laws are firm and rigid, they are programmed as equations, when they are
not totally rigid, firm and mathematical, the methodology is programmed and when the laws are even more variable,
The
Mind
Machine
Internets I,
II, III with
LANs and MANs
Local KB’s
Company Wide KB’s
National & Cultural KB’s
World Wide and Satellite KB’s
Control, Command and
Communication of
Knowledge Resources and
Flow
Knowledge Flow
and Control Via
TCP/IP and Related
Network Protocols
Knowledge
Content and
Resources
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the AI tools and techniques (CG, PR, CV, ES and IA) from computer sciences are deployed to cross the
interdisciplinary borders.
For example, to cross the boundary between mind and knowledge, the outer reaches of laws of perception of
need gratifying objects (e.g., a home, a spouse, an institution, etc.) are supplemented by the knowledge about the
laws for pattern recognition (PR) for objects that look like a structure (e.g., a hut, a house, a mansion, a castle, etc.
for the home; a member of opposite sex, an eligible partner, a member of the household, etc..; etc.). As another
example, to cross the boundary between social and psychological spaces (see Figure 29.2), the telephone
numbers/SMS access for social contacts and the PDA/PC/wireless access procedures stored in the computer space,
are invoked. In addition, boundaries can be crossed by standard operating procedures stored in the mind space (see
Figure 29.2).
29.3 SEVEN HIERARCHICAL SPACES
The function of the human brain is a marvel of evolutionary adaptation. Understanding all the complexities, all
at once is self-defeatist. However, the piecewise and systematic integration is feasible. The complete integration
needs multi-dimensional interwoven spaces not easily represented in the two dimensional of paper. Thus, to deal
with the representation of such spaces in the two dimensions of the paper, we suggest a three-step solution: (a) a
topographical identification of each of the spaces (b) their hierarchy and (c) their interconnectivities. These steps
are implemented in following sections A, B and C.
29.3.1 TOPOGRAPHICAL IDENTIFICATION OF SEVEN SPACES
Identification of mind-space(s) permits them to be mapped in the computer space(s). Among the many possible
of perceptual spaces in the mind, at least seven spaces are identified in the following subsections.
1. The Neural Biological Space of the Brain.
Even though the electro chemical and ionic processes may not be precisely mapped, the effect is evident in behavior
and action of human beings. This space is unique to the extent that almost all other functions are subservient the
activity in the brain. The conscious, subconscious, mundane to the sophisticated are embedded and encoded in this
space. Any machine to emulate the mind can lodge its central computational VLSI, their algorithms and their
microcode in this hyper-dimensional space of the neural biological space of the brain.
2. Mind-Space(s).
Human activity is a by-product of heredity and environmental influences such as training, education, personality
traits, etc. These functions are distinct from the biological and physiological functions even though definite linkages
exist. The conscious mental processes that account for most willful and external behavior and actions can be
encoded and accommodated in this mind-space. Such controlled behavior is amenable to computer SW, utilities,
macros and microcode.
3. Physical Space(s).
Physical reality anchors the mind. Real spaces provide room for existence of the physiological body. Two branches
exist: (3a) Personal Physiological Body Space and (3b) Shared Physical Real Space.
3a) Laws of physics are not directly applicable to the human objects and physiological bodies. However, the
principles have been embedded and engendered in physiology, dealing with heart, skeletal, muscular, circulatory,
and muscle-tendon systems of each human. The somewhat complex procedures in orthopaedics, kinematics and
physical balance also are housed in this space.
3b) Laws of particle and rigid dynamics, movement, rotation, floatation etc. physics are precise and
mathematical. These laws are applicable whilst working with physical noun objects in real space, provide validity to
verb functions such as move, shift, rotate, turn, etc. for physical objects. Interconnectivity and validity become
apparent but invalid if a child attempts the climb mount Everest or a when a dead person attempts to swim the
English Channel. Such laws and their practicality in real space are the most programmable in the sub-computer
system that emulates the real shared physical spaces.
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4. Psychological and Emotional Space(s).
Freud [1], Jung [2], Maslow [3], and others have provided a basis for the stability and dynamics within the confines
of human psyche. Motivation, and effort are elegantly coupled; the origin of verb function upon noun objects
(including ones-own self) can be realistically traced to the psychological energies associated with the individual
personality type. Machines that emulate processes in this space can only be semi numerical and based on pattern
recognition (PR) of behavioral tendencies of individuals and personality types.
5. Social Space(s).
These spaces are individual and culturally dependent. Family, friends and people correlations (stored in the
individual’s private knowledge banks) are checked by the mind-machine to permit/block, verify further to safeguard
the security and knowledge operation1
[4] such as (no*vf) or (vf*no) during the execution of knowledge programs
in the machine.
6. Knowledge Space(s).
Knowledge space(s) are perhaps the most encompassing space(s), only next to the neural-biological and mental
space(s) in the human brain. Knowledge-space/time reaches everywhere in the cosmic world, and reaches forward
and backward in the time domain and complimented by the Internet technologies and protocol. In predicting future
events, an element of uncertainty needs to be estimated and incorporated. These two steps become essential. The
programming of knowledge function is at least an order of magnitude more complex than the scientific and business
programming and still in its infancy as scientific programming was during the 1950s.
7. Computer/Computational Space(s).
Computer-space holds the rationality in sciences as programs. Systemization of many disciplines can be
programmed and stacked in the physical computer space. Computer space and its architectural arrangement permit
the control of two subspaces: (a) the space for operating systems, background programs, utilities, etc., and (b) active
core memory for the currently executing programs. Both the active core and disk systems participate in the
programs to be executed in all the other spaces. Whereas the computer space refers to all storage space in the
specific mind-machine, the computational space refers to memory coordinates (such as hi mem and lo mem) for the
currently executing program. This separation of memory/disk space prevents accidental contamination of programs
by other unauthorized programs. However, the mind machine may reference and scan related spaces with
appropriate and authorized linkages presented in subsection C.
29.3.2 HIERARCHY OF PERCEPTUAL SPACES
The hierarchy of the seven spaces and the subspaces becomes complex and interwoven. It becomes an
architectural diagram rather than the typical pyramids that Freud [1] and Maslow [3] use. Spaces are by nature more
far reaching than concepts and notions that Freud and Maslow depict in their pyramids, but their concepts and
notions are housed in these spaces.
In Figure 29.2, a conceptual representation and a possible hierarchy of these seven spaces (from neural, mental,
physical, psychological, social, knowledge, and computational spaces) is presented. The hyper-dimensional the
neural biological space (NS) and mind space (MS) enclose the other five spaces. Being essential for existence, the
physical space (PhS) is closely interdependent on NS and MS. The notion of reality is firmly seated in this triad of
spaces as infants start to grab things (and even as adults grab wealth).
The psychological space (PsS) and social space (SoS) form the linkages and associations in the prior spatial triad
through the inner self and through the external world. Reinforced by human senses, the two inner perception of
reality and physical presence of objects and other need gratifying objects form the foundation of rationality in
children during infancy. Passions and a higher sense of (positive/negative, good/evil, use/abuse, love/hate, etc.)
1
Knowledge processing is based on the truism that an increment of knowledge (± ∆k) is generated every-time, every-place,
every-circumstance, that a verb function (vf) convolutes (*) with a noun object (no), i. e., {(vf*no) ± ∆k}. Conversely,
when any no convolutes (*) with a vf, i.e., {(no*vf)  ±.∆k}, it also generates an increment of knowledge (∆k). This
incremental knowledge adds or subtracts from the original knowledge k.
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ethics evolve in the prior five spaces (see Figure 29.1). These linkages and interrelations are shown as black
ellipses in Figure 29.2. The Freudian and Maslowian human being is resident in these five spaces even though
neither Freud nor Maslow dwell deep into neural biological space(s).
Knowledge space (KS) and computational spaces (CS) are relatively new and the modern society cannot function
well without the awareness and intense power and deployment of both. Von Neumann and the Internet technologies
have changed the prior five spaces and the architectural relations that used to exists before these two shield for the
knowledge worker. Life has turned faster and more precise without being too dependent on Freud or Maslow. Their
seminal work is now embedded in the downloaded knowledge space (KS). The knowledge worker of the 21st
century lives in these two lower most layers with the Internet based knowledge bases as the shield to hide behind till
any malfunction in the other five layers sends the superfast knowledge driven worker to the psychiatrist or/and the
cardiologist.
29.3.3 INTERCONNECTIVITY OF THE SEVEN SPACES
Spatial interconnectivity in the brain is not comprehended at present. However, nature has endowed the ability
to travel these spaces at will and in good precision. Functionally, the interconnectivity of the seven space and the
clusters in the brain may represented diagrammatically in Figure 29.3.
The need for such a presentation (Figure 29.3) is to arrange the functional modules of the mind-machine with
addressable active memories and disk storage sub-systems. The diagram associates the functions in the mind with
the processes (and processing programs and their data) in the machine with the respective storage spaces allocated.
Processes and programs are retrieved from these addressable spaces in the computer system(s) of the mind-machine.
Results are also stored in the corresponding memory/disk locations.
Neural Paths in
NS and Bus
Structures in CS.
Neural switches in
NS and Switching
Systems in CS.
CS Computational
Space(s)
(PhS)
Physical
Space(s)
NS and MS
KS Knowledge
Space(s)
SoS Social
Space(s)
PsS Psychological
Space(s)
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Figure 29.2 Organization of spaces in the mind-machine replicates the real and perceptual spaces as
they develop in a human being. NS and MS represent Neural and Mental Spaces.
The bondage between the spaces is tightly interwoven with the flow of neural currents stemming from mental
activity. These currents are simulated as control signals stemming from the knowledge-based operation codes
(kopc's) of knowledge programs on mind mahines. Within the mind the inter-connectivity of the neural currents
occurs at the velocity of thought. In the computational space the linkages can only occur as the knowledge
programs are executed in the machine. The real-time simulations in the mind machine are severely limited by
the speed of knowledge processor units (KPU's). From a design perspective, the neural speeds in the mind
healthy individuals are lightning-speed faster than clock rates to trigger the VLSI chips.
The structure and methodology of knowledge programming is reflected by the order and sequencing of verb
functions (vf's) that are executed by noun objects (no's) on other noun objects. The symbolic nodes represented by
vf's, no's and their logistically appropriate convolutions (*'s) constitute the vital links between the mental space and
the machine space. The mind operates on need gratifying objects in virtual space, whereas the mind machine deals
with the data structure of humans, their needs and of the need gratifying objects in the control memory, main
memory of the computers and the disk spaces of the global Internet knowledge bases. The flow of knowledge is
presented as the flow of knowledge elements or kels from the various space is depicted in Figure 29.3.
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Kel is defined as an element of knowledge that occurs when a noun object (no) executes a verb function (vf) or when a VF is executed on a no.
and represented as ∆k12 = (no1 *1 vf12 *2 no2) or as ∆k21 = (no2 *2 vf2 *1 no1)
Figure 15.3 Flow of Knowledge elements or kels during the solution of a problem into the Knowledge Space the inner most ellipse where the
fusion of small and large kels (from the social, psychological, physiological and Real spaces) occurs to blend into the solution of the problem.
kels, Rich
Clusters of
Knowledge
(kels)
kels, Rich
Clusters of
Knowledge
(kels)
KEL - Flow
of
Knowledge
KEL - Flow
of
Knowledge
KEL - Flow
of
Knowledge
KEL - Flow
of
Knowledge
5
4
3
2
1
1
2
3
4
5
PsS SoS
PhS RS
KS and
Solution
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In the knowledge domain the composition of elemental knowledge elements (or kels or ∆k) is formulated as
∆k12 = (no1 *1 vf12 *2 no2) or as ∆k21 = (no2 *2 vf2 *1 no1)
and the lower four spaces (psychological, social, knowledge, and computational spaces) are inter-connected via
by vfs and nos, in the physical space (PhS) to the neural space (NS) and the mental (MS). The cycling and the
recycling of the various spaces occurs in the mind via the physical, physiological and/or real space. Elements of
knowledge, objects and actions play the most critical, decisive and vital roles.
In the human environments, the solution to small and large problems consists of find the best solution to the
immediate problems. Knowledge from all spaces and dimension flows to find the best solution. A typical flow of
knowledge elements is depicted in Figure 29.3. Five ellipses are shown surrounding the knowledge space that hold
the final and/or near-final solution and the kels flow through these ellipses from rich clusters of kels for the four
(psychological, physical, real, and social ) spaces and get filtered again and again to yield s workable and feasible
solution.
29.4 DETAILS OF KNOWLEDGE SPACE(S) IN THE MIND-MACHINE
Fortunately knowledge has been classified by the Dewey Decimal Classification (DDC) and by the Library of
Congress (LoC) classification (see Figures 29.4, 29.5 and 29.6. When the DDC classified knowledge segments in
the world knowledge banks (KBs) are dynamically grouped and stored in mind-machine, then the six segments of
the mind-machine (Figure 29.4) bear a direct correspondence with addresses of the KBs that hold corresponding
data in the world knowledge banks; the Internets, LANS and WANS serve as knowledge highways for the mind-
machine. The real-space (i, e., the environmental) data is accessed by the personal/customized data bank(s) for the
user, the corporation, the community, the nation, etc.
The mind-machine is thus sufficiently interconnected to solve human, corporate, communal, national, etc.,
problems on a realistic basis (see RS and CS in Figures 29.5, 29.6 and 29.7. The results become dynamic and
change as the environment, the external and internal conditions change. It is assumed that the machine processes
data faster than the changes in the data. Many machines that deal with Stock Market also function on this
assumption.
Machines become incapacitated when nature that controls the environment that moves faster than what the
machines can predict even for a few seconds. Typically, Tsunami and hurricane warning systems, stock market
analyzers, etc., all suffer from similar restrictions.
29.4 THE ARCHITECTURAL HARDWARE
The functions in each of the six spaces (NS through PsS) are confined to each of the 60 segments and the central
ellipse RS holds the real space. Parameters and processes may communicate with each other via the computational
space just as segments of human mind would communicate via the central and peripheral nervous system. The
representation is complete with only one reality space (RS) but many perceptions of one reality (even though reality
may be is dynamic) can coexist in the NS and MS.
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Figure29.4 Depiction of the mental objects and the associated thought processes as they are occur to
gratify human needs. Their connectivity to the mind-machine computational objects and their
processes via the six perceived spaces in the brain, mind, physical, psyche, social and knowledge
spaces is also shown. The computational space(s), (i.e., CS) are the more malleable and controlled
space(s) in the mind-machine.
The concepts depicted in Figures 29.4 and 29.5 are integrated in the architecture shown in Figure 29.6. The real
space(s) are replaced by the computational space(s) at the center of the figure. This space emulates the functions in
the real space(s) based on the laws derived from the world wide knowledge bases accessed via the Internets and
Local Nets. The neural, mind, biological, psychological, physical, and the knowledge (vf*no) laws are implemented
by the localized (or imported) programs thus offering a scientific foundation for the results generated by the mind-
machine
.
Control
Content
MS: Mental Space
KS: Knowledge Space
CS: Computational Space
NS: Neural-Biological Space
PsS: Physiological Space
SoS: Social Space
Order and
Conformity in
Real Space (RS)
Nouns, Verbs
Memories,
Processors
Actions &
Convolutions
Emotions, Ties
& Attachments
Humans &
Objects that
Gratify Needs
PsS KS
SoS CS
PsS
SoS
KS
CS
NS MS
(PhS)
Physical
Spaces
NS and MS
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29.7 THE INTERNET PARADIGM
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Figure 29.5 Mapping of the space(s) in mind and society with the addressable space(s) in the mind-
machine.
29.7 THE INTERNET PARADIGM
The realization of this machine can be systematically achieved by a collection of independent computer systems,
but working in unison under the command, control and communication dictated by the Operating System of the
highest level of the mind machine (see Figure 29.7). Command and control are achieved at this OS layer. The
communication is achieved by the program controlled local-bus and the Internet switches embedded in Figures 29.4,
29.5, and shown in Figure 29.6.
Processing becomes context driven. Both the local laws and AI driven routines dictate the opcodes (opc’s,
kopc’s, oopc’s, etc.) and the operands (opr’s, kopr’s, oopr’s etc.) for the local and the central processors of the
computational space(s).
It appears that the best machine may be realized by a master computer driving a series of very intelligent slave
computers. The analogy is almost complete as a dictator CEO drives a series of highly skilled, naturally intelligent
executives in a corporation or as Captain Kirk adaptively instructs a group of artificially intelligent non-robotic
Spochs and a set of highly professional humanist doctors in a Star-Knowledge-Ship environment.
KS
MS PsS
SoS
NS
PhS
Real
Space
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Figure 29.6 Correlation between knowledge classification and the storage spaces in the mind-
machine. The architecture is generic enough to force a mind-machine as a social-machine, a
community machine, or a nation machine. The subject matters and local knowledge bases need to be
primed with appropriate knowledge and data. Most general purpose computers can function as
scientific computers, business machines, MIS machines, etc.
Program Controlled
Internal Bus Switch
Program Controlled
Internet Switch
Computer Common Bus
Neural
Space
Mental
Space
Psychological
Space
Physical
Space
Social
Space
Knowledge
Space
Reality
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Figure 29.7 Realization of mind-machine with active command, control and communication [5] (CCC)
from a centralized machine in the computational space. A series of six subservient computers are
suggested for this machine configuration but the number, type and nature of the slave machines can
be tailored to suit the environment and the (humanistic) issues that the machine is attempting to
resolve. The architecture and the CCC are essentially the same for most humanist machines, or
management information systems [6].
Neural Space
Physical Space
Mental
Space
Psychological
Space
Social
Space
Knowledge
Space
Computer
Space
000, 004+, 510
Stack
Proc.
Mem
Sys.
Store
Stack Proc.
Mem.
Sys.
Store
Stack
Proc.
Store
Mem
.
Mem
Proc.
Stack
Store
Proc.
Mem
.Sys.
Store
Stack
Store
Proc.
Mem
Sys.
Stack
Proc. = Processor Systems
Mem. = Memory (s) Systems
Store = Secondary Memory System
Stack= Stacks and Cache(s)
Program Controlled
Internal Bus Switch
Program Controlled
Internet Switch
DDC: Dewey Decimal Classification
Elementary
Computer System.
Elaborate in the
Mind-Machine
Stack (s) Processor
(s)
Memory.
System
Secondary
Disk or
Storage
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14. THE ARCHITECTURE OF A MIND MACHINE
29.8 A DERIVED MEDICAL MACHINE
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The evolution of the human mind is as mysterious as it is miraculous. The mind itself is as mystical as it is
marvelous. Attempt to precisely simulate all the thought processes and native creativity can only be futile. In the
absence of anything that approaches these many beautiful aspect of human activity (thinking and creativity), we
propose a feasible architectural arrangement of AI based machines with local and Internet addressing capability to
force the machine to address the seven perceptual spaces (Section II) of a knowledge worker in the Internet society.
Future enhancements and modifications appear mandatory. In fact the multi-artificially-intelligent (MAI) processor
capability for multiple environments (ME) or MAIME [4] and multiprocessing in subservient computer systems can
be included by any skilled computer architect.
A proposal of this sort is somewhat like an attempt to trace planetary orbits in the times of Galileo without the
tools of radio astronomy. Subsequent attempts have been more optimal and precise. The introduction of handheld
mind-machines are as near as the 2020s or 2030s.
29.8 A DERIVED MEDICAL MACHINE
In Figure 29.8, we present an amended mind-machine to serve the as a medicine machine. In a medical machine
the six peripheral computers in Figure 29.7 are tailored to emulate the nervous (Nervous System), circulatory (Heart;
Coronary and Anatomical), skeletal (Skelt.), muscular (Muscle and Tissue), blood (Blood), digestive (Digestive.)
systems; while the central computation system represents the neural-biological-space machine within the brain.
The human body and physiology are also highly evolved and developed. The six subservient elements of the
anatomy are generally inadequate for any practical medicine machine. It becomes necessary to increase the number
from six to the number of medical-courses2
offered in medical colleges. Assuming that about thirty to forty such
courses and course materials make a realistic collection of courses to graduate; we propose at least twenty
subservient computer systems, thus making the diagram quite complex. However, a cluster of twenty (plus)
computers is routinely handled in cluster computing. The system might be slow but the clock rates have increased
by orders of magnitude over the last few decades.
It is interesting to note that the architectural arrangement is indeed generic. For example, a specialist can have
the associated sub-specialties information and knowledge in each of the subsystems with one machine to serve as the
patient specific machine. The individual history, preferences, and personal data is then retrieved and matched to the
world wide knowledge, treatments, care and procedures. We foresee that wearable customized medical machines
can be imprinted when the mind machine contents are downloaded into generic VLSI chips. Such medical
machines will scan the activity of organs and stimulate them as the mental functions become weak because of
age or injury. This procedure is already practiced when the hearing-loss characteristics of an individual are
used to build customized hearing aids. Most of the routine activities are made available by the medicine
machine to the medical staff and the expertise (if needed) is then researched in unusual circumstances for further
deliberation.
The layout, architecture and the hardware of the medical machine have been retained from Figure 29.7, but
modified to cope with medical imaging and diagnostic data needs, the rate of flow of objects and enhanced
interactivity between the medical community and the larger personal knowledge bases of the patients. The four
essential elements of this computer (memory (Mem), storages (Sto), stacks and cache(s), and Processors (Pro))
also final readjustments are tailored to suit the specialized needs, the medical staff and administration
preferences, hospital requirements, accounting and billing standards.
2
Specialized courses, electives and training taken by students make every professional unique. One standard medicine
machine cannot serve all medical professionals just as one computer system cannot serve all research/business users. Even
though computer systems can be architecturally alike, the software, utilities and application programs make every machine
unique in its own right. The underlying architectural framework of a medicine machine is introduced and proposed in this
chapter.
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15. THE ARCHITECTURE OF A MIND MACHINE
29.9 CONCLUSIONS
14
14
29.9 CONCLUSIONS
In this chapter we have proposed and introduced a generic architecture of a mind-machine. It is based on the
human physiology to the extent that the brain controls, commands, and communicates (borrowed from Peter
Druckers’ Concept of Management) with other subservient organs and their control mechanisms within the human
body. The notion of numerous spaces is also introduced in this chapter. Actions and processes occur in these spaces
on need-gratifying objects resident in their respective spaces to generate elements of knowledge or kels.
Figure 29.8 Configuration of medical machine based on the architectural features of a mind-machine.
The Dewey Decimal Classification (DDC) numbers are modified accordingly.
Store
Proc.
Mem
Sys.
Stack
Nervous System
Muscles, Tendons
Coronary
Digestive
Blood
Skeletal
Space
Human Brain
573.86
Stack
Proc.
Mem
Sys. Store
Stack Proc.
Mem
Sys.
Sys.
Store
Mem
.Sys.
Proc.
Stack
Store
Proc.
Mem.
Sys.
Store
Stack
Stack
Proc.
Store
Mem
Sys.
Program Controlled
Internal Bus Switch
Program Controlled
Internet Switch
Signals: Control Communication, and
Neural Signals for body functions.
Contents; patient information, diagnosis,
opinions, treatments, prognosis, data, scans,
X-rays, MRI’s, etc
Content
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16. THE ARCHITECTURE OF A MIND MACHINE
REFERENCES
15
15
Such kels can be addressed, cascaded and stacked (borrowed from von Neumanns’ concept of the Princeton
Institute of Advanced Study (IAS) computer) to generate major structure of significant knowledge. Although the
spaces areinterlaced, they have well defined themes, functions, and stability criteria of their own, both individually
and collectively. The number, types, and the architectures of the subservient machines are application dependent.
For example, in a transmutation of the proposed mind-machine will suit corporation environments with subservient
computers for finance, accounting, production, marketing, management information and Information Technology
systems, human resources, etc. would lead to fully fledged executive process control systems within the corporation.
In fact, numerous executive information systems [7, 8] try to emulate some of the functions of the mind-machine.
The proposed architecture is complete and intelligent since this computer-based system incorporates and tailors
the function based on the individual history of the user(s) and the particular environment wherein it is deployed. It is
dynamic and vigilant constantly checking for innovations and enhancements in the global knowledge bases.
Every step in the solution is reinforced by scientific/mathematical principle(s), methodology and/or documented
procedure(s) in local and/or global knowledge bases.
REFERENCES
[1] Sigmund Freud, James Strachey, Peter Gay, The Ego and the Id (The Standard Edition of the Complete
Psychological Works of Sigmund Freud), W. W. Norton & Company; Standard Edition, September 1990..
[2] Princeton University Press, Sigmund Freud, Carl Gustav Jung Letters, Abr. edition, 1994.
[3] Abraham H. Maslow, Toward a Psychology of Being, Van Nostrand Reinhold; 2nd edition, May 1982
[4] Syed Ahamed, Computational Framework of Knowledge: Intelligent Behavior of Machines, John Wiley and
Sons, Hoboken, USA.
[5] Chapter 14, Section14.3.4.1, “From Drucker to Formm via von Neumann”
[6] Henry Lucas, Jr., Inside the Future: Surviving the Technology Revolution, Praeger Publisher, 2008.
[7] SAP Solutions, and eLearning, SAP (UK) Limited, Feltham, Middlesex, England, 2002.
[8] R. Gillespie and J. Gillespie, PeopleSoft Developer’s Handbook, McGraw Hill, New York, 1999, also see R.
Rowley, PeopleSoft v.8: A Look under the Hood of a Major Software Upgrade, White Paper, PeopleSoft
Knowledge Base, 2005.
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17. 2
. Epilogue
Transition Knowledge Field Theory (KFT)
EPILOGUE SUMMARY
This epilogue presents a platform for a more precise Science of Knowledge in the real space, even though it
appears well founded in the knowledge space. Extrapolations deep into knowledge space (KS) and knowledge
domains (KD) are presented. The mathematical tools and methodology are borrowed from other
disciplines thus providing an initial entry into knowledge field theory. With careful deliberations and willful
insight, some of the concepts from vector algebra and vector operators such as del, grad, div, curl, curl-
of-curl, etc. are interpreted in KD, though not as precisely as their representations in traditional Field theory or
in Physics. In many instances, even though these operators carry a sense of interpretation, they reach
mental dead ends. However, these mathematical operators only provide a foothold into treating knowledge
on a scientific basis, assigning a degree of numerical measures and imposing a degree of mathematical
formalism.
The Laplace, Poisson, Quasi-Poissonian Equations, Divergence Theorem and Gauss’s Law, and Stokes
Theorem are transfused into KD and knowledge space. These incursions shed new light in the formalism, as
they are applicable in the knowledge domain. These transfused concepts revive the basic awareness that
knowledge fields exist in knowledge space like fields in electromagnetism (EM) and in other thermal or fluid
mechanics problems in real space. Long before civilizations, the EM fields have existed and only recently
discovered in the cosmic world. Knowledge fields penetrate and travel through minds as EM waves penetrate
objects and traverse through space. Total reception, partial and total shielding are as feasible for movement of
knowledge in minds as they are feasible for EM fields in circuits and antenna spaces.
In this epilogue, we explore the shadows of strict formalism of Physics and vector algebra in the deep
trenches of knowledge spaces and its science. The extent of transfusion between the two disciplines is
restricted to the pragmatism of interpreted concepts and the equations. Though incomplete, the unison of the
two disciplines offers pathways in the uncharted knowledge space, and conversely it offers the universality of
knowledge into the realm of vector fields in physics.
Keywords - Knowledge Domains, Knowledge Science, Formulation of Knowledge, Scalars and Vectors of
Knowledge, Knowledge Fields
E.1 INTRODUCTION
The activities of all biological life forms revolve around their needs [1], need structures [2] and pyramids
[3]. An N-group(s) of “objects” coupled with appropriate V-group(s) of “actions” or verbs gratifies the needs
Knowledge Science
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June 2016
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