chapter 29. the architecture of a...

CHAPTER

29THE ARCHITECTUREOF A MIND-MACHINE

CHAPTER SUMMARYIn 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 hub of progress, (c) wealth, global marketing, and insatiable needs of

humans and civilization. These triadic cycles of nine essential objects of human existence are spin-

ning 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.

29.1 INTRODUCTIONThe 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 under-

standing. Be as it may, the modern age make scientific thinking and modern machines the prime

movers toward 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 bio-

logical 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), and 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

465Evolution of Knowledge Science. DOI: http://dx.doi.org/10.1016/B978-0-12-805478-9.00029-7

© 2017 Elsevier Inc. All rights reserved.

http://dx.doi.org/10.1016/B978-0-12-805478-9.00029-7

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.

29.2 THE CONCEPTUAL FRAMEWORKHuman 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 vari-

able 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 metho-

dology is programmed and when the laws are even more variable, the AI tools and techniques (CG,

PR, CV, ES, and IA) from computer sciences are deployed to cross the interdisciplinary borders.

TheMind

Machine

Internets I,II, III with

LANs and MANs

Local KB’sCompany Wide KB’s

National & Cultural KB’sWorld Wide and Satellite KB’s

Control, Command and Communication of

Knowledge Resources and Flow

Knowledge Flowand Control Via

TCP/IP and Related Network Protocols

Knowledge Content andResources

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.

466 CHAPTER 29 THE ARCHITECTURE OF A MIND-ACHINE

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) 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 for the home; a member of opposite sex, an eligible partner,

a member of the household). As another example, to cross the boundary between social and psycho-

logical 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 SPACESThe 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.

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 SocialSpace(s)

PsS Psychological Space(s)

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.

46729.3 SEVEN HIERARCHICAL SPACES

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. 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 orthopedics, kinematics, and physical balance also are housed

in this space.

(3b) Laws of particle and rigid dynamics, movement, rotation, floatation, etc., in mechanics

and physics are precise and mathematical. These laws are applicable while 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.

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) is 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 disci-

plines 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 sys-

tems, background programs, utilities, etc. and (b) active core memory for the currently execut-

ing 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 acci-

dental 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 gratify-

ing objects form the foundation of rationality in children during infancy. Passions and a higher

1Knowledge processing is based on the truism that an increment of knowledge (6Δk) is generated every-time, every-

place, every-circumstance that a verb function (vf) convolutes (�) with a noun object (no), i.e., {(vf�no) - 6Δk}.

Conversely, when any no convolutes (�) with a vf, i.e., {(no�vf) - 6Δk}, it also generates an increment of knowledge

(Δk). This incremental knowledge adds or subtracts from the original knowledge k.


sense of (positive/negative, good/evil, use/abuse, love/hate, etc.) 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 soci-

ety 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.

The bondage between the spaces is tightly interwoven with the flow of neural currents stem-

ming from mental activity. These currents are simulated as control signals stemming from the

knowledge-based operation codes (kopc’s) of knowledge programs on mind-machines. Within the

mind, the inter-connectivity of the neural currents occurs at the velocity of thought. In the computa-

tional 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 pro-

cessor 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 sequenc-

ing of verb functions (vf’s) that are executed by noun objects (no’s) on other noun objects. The sym-

bolic nodes represented by vf’s, no’s, and their logistically appropriate convolutions (�’s) constitutethe vital links between the mental space and the machine space. The mind operates on need gratify-

ing 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.

In the knowledge domain, the composition of elemental knowledge elements (or kels or Δk) is

formulated as


Δk125 ðno1-�1-vf12-�2-no2Þ or as Δk21 5 ðno2-�2-vf2-�1-no1Þand 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, phys-

iological, 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 solu-

tion and the kels flow through these ellipses from rich clusters of kels for the four (psychologi-

cal, physical, real, and social) spaces and get filtered again and again to yields workable and

feasible solution.

FIGURE 29.3

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.


29.4 DETAILS OF KNOWLEDGE SPACE(S) IN THE MIND-MACHINEFortunately knowledge has been classified by the Dewey Decimal Classification (DDC) and by the

Library of Congress (LoC) classification (see Figures 29.4�29.6). When the DDC classified knowl-

edge 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.

Control

Content

MS: Mental Space

KS: Knowledge Space

CS: Computational Space

NS: Neural-Biological Space

PsS: Physiological Space

SoS: Social Space

Order andConformity in

Real Space (RS)

Nouns, Verbs Memories, Processors

Actions & Convolutions

Emotions, Ties & Attachments

Humans & Objects that

Gratify Needs

PsS KSSoS CS

PsS

SoS

KS

CS

NS MS

(PhS)Physical

NS and MS

FIGURE 29.4

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) is the more malleable and controlled space(s) in the mind-machine.


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�29.7). 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.

29.5 THE ARCHITECTURAL HARDWAREThe 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 dynamic) can coexist in the NS andMS.

KS

MS PsS

SoS

NS

PhS

Real Space

FIGURE 29.5

Mapping of the space(s) in mind and society with the addressable space(s) in the mind-machine.

47329.5 THE ARCHITECTURAL HARDWARE

The concepts depicted in Figures 29.4 and 29.5 are integrated in the architecture shown in

Figure 29.6. The real space(s) is 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 worldwide knowl-

edge 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.

Program Controlled Internal Bus Switch

Program Controlled Internet Switch

Computer Common Bus

NeuralSpace

MentalSpace

PsychologicalSpace

PhysicalSpace

SocialSpace

KnowledgeSpace

Reality

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.


Neural Space

Physical Space

MentalSpace

PsychologicalSpace

SocialSpace

Know ledgeSpace

Computer Space

000, 004+, 510

StackProc.

Mem Store

Stack Proc.

Mem.Store

Stack

Proc.

Store

Mem

Mem

Proc.

Stack

Store

Proc.

Mem.Sys.

Store

Stack

StoreProc.

Mem

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 orStorage

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].

47529.5 THE ARCHITECTURAL HARDWARE

29.6 THE INTERNET PARADIGMThe realization of this machine can be systematically achieved by a collection of independent com-

puter 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 and 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.

The evolution of the human mind is as mysterious as it is miraculous. The mind itself is as mys-

tical 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 29.3) 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 subser-

vient 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 pre-

cise. The introduction of handheld mind-machines are as near as the 2020s or 2030s.

29.7 A DERIVED MEDICAL MACHINEIn 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), and digestive (Digestive.) systems, while the central computa-

tion 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

2Specialized 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 pro-

posed in this chapter.


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.

47729.7 A DERIVED MEDICAL MACHINE

colleges. Assuming that about thirty to forty such courses and course materials make a realistic col-

lection of courses to graduate, we propose at least twenty subservient computer systems, thus mak-

ing 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 spe-

cialist 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 are 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.

CONCLUSIONSIn 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, see Chapters 2 and 14) with other sub-

servient 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.

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 signifi-

cant knowledge. Although the spaces are interlaced, they have well-defined themes, functions, and

stability criteria of their own, both individually and collectively. The number, types, and the archi-

tectures 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. In fact, it would lead to fully fledged executive process control sys-

tems 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 incorpo-

rates and tailors the function based on the individual history of the user(s) and the particular envi-

ronment 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] Freud S, Strachey J, Gay P. The ego and the Id [The standard edition of the complete psychological works

of Sigmund Freud]. Standard Edition W. W. Norton & Company; September 1990.

[2] Freud S. Carl gustav jung letters. Abr. edition Princeton: Princeton University Press; 1994.

[3] Maslow A. Toward a psychology of being. 2nd edition. New York: Van Nostrand Reinhold; May 1982.

[4] Ahamed S. Computational framework of knowledge: Intelligent behavior of machines. Hoboken, USA:

John Wiley and Sons; 2009.

[5] Chapter 14, Section14.3.4.1, “From Drucker to Formm via von Neumann”.

[6] Lucas Jr. H. Inside the future: Surviving the technology revolution. Santa Barbara, CA: Praeger

Publisher; 2008.

[7] SAP solutions, and eLearning, Feltham, Middlesex, UK: SAP (UK) Limited; 2002.

[8] Gillespie R, Gillespie J. PeopleSoft developer’s handbook. New York: McGraw Hill; 1999, also see

Rowley, R. PeopleSoft v.8: A look under the hood of a major software upgrade, White Paper, PeopleSoft

Knowledge Base, 2005.

479REFERENCES

http://refhub.elsevier.com/B978-0-12-805478-9.00029-7/sbref1











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