Perhaps guarding against that eventuality is the most important job the

computer can do. Applications of computing power to government have been

given; and hints made of the sure path from simple tasks like the census

and income tax, Peace Corps work, and so on to decision-making for the

president. Just as logic is put to work in optimizing business, it can

be used to plan and run a taut ship of state. At first such an

electronic cabinet member will be given all available information, which

it will evaluate so as to be ready to make suggestions on policy or

emergency action. There is more reason for it going beyond this status

to become an active agent, than there is against. Government has already

become so complex that perhaps a human brain, or a collection of them,

cannot be depended on to make the best possible decision. As

communications and transportation are speeded up, the problem is

compounded. Where once a commander-in-chief could weigh the situation

for days before he had to commit himself and his country to a final

choice, he may now be called upon to make such a far-reaching decision

in minutes—perhaps minutes from the time he is awakened from a sound

sleep. The strongest opposition to this delegation of power is man’s own

vanity. No machine can govern, even if it can think, the politician

exclaims. The soldier once felt the same way; but operations research

has given him more confidence in the machine, and SAGE and NORAD prove

to him that survival depends on the speed and accuracy of the electronic

computer.

Incurable romanticism is found even among our scientific community. The

National Bureau of Standards describes a computer called ADAM, for

Absolutely Divine Automatic Machine. But the scientists also know that

ADAM, or man, needs help. Rather than consider the machine a tool, or

even an extension of man’s mind, some are now concerned with a kind of

marriage of man and machine in which each plays a significant part. Dr.

Simon Ramo, executive vice president of Thompson Ramo Wooldridge, Inc.,

has termed this mating of the minds “intellectronics.” The key to this

combination of man’s intellect and that of electronics is closer rapport

between the team members.

[Illustration:

_Department of Defense_

Computer use in defense is typified in this BIRDIE system of the

United States Army.

]

The man-machine concept has grown into a science called, for the present

at least, “synnoetics,” a coinage from the Greek words _syn_ and _noe_

meaning “perceive” and “together.” This science is defined as the

treating of the properties of composite systems, consisting of

configurations of persons, mechanisms, plant or animal organisms, and

automata, whose main attribute is that their ability to invent, to

create, and to reason—their mental power—is greater than the mental

power of their components.

We get a not-too-fanciful look into the future in a paper by Dr. Louis

Fein presented in the summer 1961 issue of _American Scientist_, titled

“Computer-related Sciences (Synnoetics) at a University in 1975.” Dr.

Fein is an authority on computers, as builder of RAYDAC in 1952, and as

founder and president of the Computer Control Company. The paper

ostensibly is being given to alumni some years hence by the university

president. Dr. Fein tells us that students in the Department of

Synnoetics study the formal languages used in communication between the

elements of a synnoetic system, operations research, game theory,

information storage, organization and retrieval, and automatic

programming. One important study is that of error, called Hamartiology,

from the Greek word meaning “to miss the mark.”

The speaker tells us that this field was variously called cybernetics,

information science, and finally computer-related science before being

formally changed to the present synnoetics. A list of the courses

available to undergraduates includes:

Von Neumann Machines and Turing Machines

Elements of Automatic Programming

Theory, Design, and Construction of Compilers

Algorithms: Theory, Design, and Applications

Foundations of the Science of Models

The Theory, Design, and Application of Non-Numeric Models

Heuristics

Self-Programming Computers

Advice Giving—Man to Machine and Machine to Man

Simulation: Principles and Techniques

Pattern Recognition and Learning by Automata

The Grammar, Syntax, and Use of Formal Languages for Communication

Between Machine and Machine and Between Man and Man

Man-Automaton Systems: Their Organization, Use, and Control

Problem-Solving: an Analysis of the Relationship Between the

Problem-Solver, the Problem, and the Means for Solution

Measurements of the Fundamental Characteristics of the Elements of

Synnoetic Systems

Of course, synnoetics spills over into the other schools, as shown in

the following typical courses taught:

Botany Department

Machine-Guided Taxonomy in Botany

Business School

Synnoetic “Business Executives”

Engineering School

Theory of Error and Equipment Reliability

Design of Analog and Digital Computers

Humanities Department

Theory of Creative Processes in the Fine Arts

Law School

Patent and Precedence Searches with Computers

The Effect of Automata on the Legislative and Judicial Process

Mathematics Department

The Theory of Graphs and the Organization of Automata

Medical School

Computer-Aided Medical Diagnosis and Prescription for Treatment

Philosophy

The Relationships between Models and the Phenomena That Are Modeled

Psychology Department

Studies in Intuition and Intellect of Synnoetic Systems

Simulation in the Behavioral Sciences

Sociology Department

Synnoetics in Modern Society

The speaker proudly refers to the achievement of the faculty mediator

and a computer in settling the “famous” strike of 1970.

He simply got both sides first to agree that each would benefit by

concentrating attention—not on arguing and finally settling the issues

one at a time—but on arguing and finally settling on a program for an

automaton. This program would evaluate the thousands of alternative

settlements and would recommend a small class of settlements each of

which was nearly optimum for both sides. The automaton took only 30

minutes to produce the new contract last year. It would have taken one

year to do this manually, and even then it would have been done less

exhaustively. Agreeing on the program took one week. Of course, you have

already heard that in many areas where people are bargaining or trying

to make optimum decisions such as in the World Nations Organization, in

the World Court, and in local, federal, and world legislative bodies,

there is now serious consideration being given to convincing opposing

factions to try to agree on a program and having once agreed on it, the

contract or legislation or judgment or decision produced with the

program would be accepted as optimum for both sides. Automata may also

be provided to judges and juries to advise them of the effects of such

factors as weight of evidence on verdicts in civil cases.

Dr. Fein makes an excellent case for the usefulness of the science of

synnoetics; the main point of challenge to his paper might be that its

date is too conservatively distant. Of interest to us here is the idea

of man and machine working in harmony for the good of both.

Another paper, “The Coming Technological Society,” presented by Dr.

Simon Ramo at the University of California at Los Angeles, May 1, 1961,

also discusses the possible results of man-machine cooperation during

the remainder of the twentieth century. He lists more than a dozen

specific and important applications for intellectronics in the decades

immediately ahead of us. Law, medicine, engineering, libraries, money,

and banking are among these. Pointing out that man is as unsuited for

“putting little marks on pieces of paper” as he was for building

pyramids with his own muscles, he suggests that our thumbprints and

electronic scanners will take care of all accounting. Tongue in cheek,

he does say that there will continue to be risks associated with life;

for instance, a transistor burning out in Kansas City may accidentally

wipe out someone’s fortune in Philadelphia.

The making of reservations is onerous busywork man should not have to

waste his valuable time on, and the control of moving things too is

better left to the machine for the different reason that man’s unaided

brain cannot cope with complex and high-speed traffic arteries, be they

in space or on Los Angeles freeways. Business and military management

will continue to be aided by the electronic machine.

But beyond all these benefits are those more important ones to our

brains, our society, and culture. Teaching machines, says Dr. Ramo, can

make education ten times more effective, thus increasing our intellect.

And this improved intellect, multiplied by the electronic machine into

intellectronic brainpower, is the secret of success in the world ahead.

Instead of an automated, robotlike regimented world that some predict,

Ramo sees greater democracy resulting. Using the thumbprint again, and

the speed of electronics, government of our country will be truly by the

people as they make their feelings known daily if necessary.

Intellectronic legislation will extend beyond a single country’s

boundaries in international cooperation. It will smash the language and

communication barriers. It will permit and implement not only global

prediction of weather, but global control as well. Because of the rapid

handling of vast amounts of information, man can form more accurate and

more logical concepts that will lead to better relations throughout the

world. Summing up, Dr. Ramo points out that intellectronics benefits not

only the technical man but social man as well:

The real bottleneck to progress, to a safe, orderly, and happy

transition to the coming technological age, lies in the severe disparity

between scientific and sociological advance. Having discussed

technology, with emphasis on the future extension of man’s intellect, we

should ask: Will intellectronics aid in removing the imbalance? Will

technology, properly used, make possible a correction of the very

imbalance which causes technology to be in the lead? I believe that the

challenging intellectual task of accelerating social progress is for the

human mind and not his less intellectual partner. But perhaps there is

hope. If the machines do more of the routine, everyday, intellectual

tasks and insure the success of the material operation of the world,

man’s work will be elevated to the higher mental domains. He will have

the time, the intellectual stature, and hence the inclination to solve

the world’s social problems. We must believe he has the capability.

[Illustration:

_Thompson Ramo Wooldridge, Inc._

Information in many forms can be displayed with “polymorphic”

data-processing systems.

]

Antedating synnoetics and intellectronics is another idea of such a

relationship. In his book _The World, The Flesh and the Devil_, J. D.

Bernal considers man’s replacement of various of his body’s parts with

mechanical substitutes until the only organic remains would be his

brain. This is a sort of wrong-end-to synnoetics, but in 1929 when the

book was published there was already plenty of raw material for such a

notion. Wooden legs and hooks or claws for hands, metal plates for bone

material, for example; and the artificial heart already being developed.

More recently we have seen the artificial kidney used, along with other

organs. We have also added electronic gear to our organic components,

for example the “pacemaker” implanted in many laggard hearts to keep

them beating in proper cadence, plastic plumbing, and the like. There is

a word for this sort of part-organic, part-mechanical man: the name

“cyborg” for cybernetic organism was proposed by two New York doctors.

Their technical definition of cyborg is “an exogenously extended

organizational complex functioning as a homeostatic system.” There is of

course strong precedent in nature for the idea of such a beneficial

combination: symbiosis, the co-existence or close union of two

dissimilar organisms. The shark and his buddy, the pilot fish, are

examples; as are man and the many parasites to which he is host.

The idea of man being part of machine harks back to youthful rides in

soapbox racers, and later experiences driving cars or flying aircraft.

The pilot who flew “by the seat of his pants” in the early days easily

felt himself part of the machine. As planes—and cars—grew bigger and

more complex, this “one-manship” became more remote and harder to

identify. The jet transport pilot may well have the feeling of handling

a train when he applies force to his controls and must wait for it to be

amplified through a servo system and finally act on the air stream. In

the space age the man-machine combination not only survives but also

flourishes. Arthur C. Clarke writes in a science-fiction story of a

legless space man who serves well and happily in the weightlessness of

his orbiting satellite station.

We have two stages of development, then, not necessarily sequential: man

working with the machine and man as part of the machine. Several writers

have suggested a third stage in which the machine gradually supplants

the weaker human being much as other forms eased out the dinosaur of

old. William O. Stapledon’s book, _Last and First Men_, describes

immortal and literal giant brains. Many writers believe that these

“brains” will not be man’s, but those of the machine, since frail

humanity cannot survive in its increasingly hostile environment.

Arthur C. Clarke is most articulate in describing what he calls the

evolutionary cycle from man to machine. As the discovery of tools by

pre-man created man, so man’s invention of thinking machines set about

the workings that will make _him_ extinct. Clarke theorizes that this

breakthrough by man may well be his last, and that his machines will

“think” him off the face of the earth!

[Illustration:

_Hughes Aircraft Company_

Withstanding underwater pressures, at depths too great for human

divers, a Mobot vehicle demonstrates in this artist’s concept how it

can perform salvage and rescue operations at the bottom of the

ocean.

]

As we move into a technology that embraces communication at a distance

of millions of miles, survival under death-dealing radiation, and travel

at fantastic speeds, man’s natural equipment falters and he must rely on

the machine both as muscle and brain. Intelligence arose from life but

does not necessarily need life, in the sense we think of it, to

continue. Thus the extension of man’s intellect by electronics as hailed

by Dr. Ramo will lead ultimately to our extinction.

Clarke feels that the man-machine partnership we have entered, while

mutually benevolent, is doomed to instability and that man with his

human shortcomings will fall by the wayside, perhaps in space, which may

well be the machine’s true medium. What will remain will be the

intelligent machine, reduced as time goes on to “pure” intelligence free

to roam where it will and do what it wants, a matterless state of

affairs that even Clarke modestly disclaims the imagination to speculate

upon.

Before writing man off as a lost cause, we should investigate a strong

argument against such a take-over by the machine. Man stands apart from

other creatures in his consciousness of himself. He alone seems to have

the ability to ponder his fate, to reflect, and to write books about his

thoughts and dreams. Lesser animals apparently take what comes, do what

they have to do, and get through this life with a minimum of changing

their environment and themselves. Thus far the machines man has built do

not seem to be conscious of themselves. While “rational beings,”

perhaps, they do not have the “ability to laugh” or otherwise show

conscious awareness of their fate. A term applied to primitive

mechanical beings is “plugsuckers.” They learn to seek out a wall socket

or other form of energy and nourish themselves much as animals must do.

Just where man himself switched from plugsucking and began to rewire his

own world is a fuzzy demarcation, but he seems to have accomplished

this.

Consciousness is subjective in the extreme, and thus far only in fiction

have computers paused to reflect and consider what they have done and

its effect on them. However, the machine-builder, if not yet the machine

itself, is aware of this consciousness problem. The Hoffman Electronics

Corporation recently published an advertisement in the form of a

science-fiction story by A. E. Van Vogt. The hero is a defense vehicle,

patrolling the Pacific more effectively because it thinks it is king of

the Philippine Deep. Its name is Itself, and it has a built-in alter

ego. Hoffman admits it has not produced a real Itself—yet, but points

out calmly that the company’s business _is_ the conversion of scientific

fiction to scientific fact.

It has been suggested that mechanical consciousness may evolve when the

computer begins to reproduce itself, a startling conception blessed in

theory by logicians and mathematicians, as well as philosophers. A crude

self-replicating model has been built by scientists—a toy train that

reproduces itself by coupling together the proper cars to copy the

parent train, a whimsical reflection of Samuel Butler’s baby engines

playing about the roundhouse door.

Self-reproducing machines may depend on a basic “cell” containing a

blueprint of what it should look like when complete, which simply hunts

around for the proper parts and assembles itself. In the process it may

even make an improvement or two. Having finished, it will make a carbon

copy of its blueprint and start another “baby” machine on the way.

Writers on this subject—some under the guise of science-fiction—wonder

at what point the _machines_ will begin to wonder about how _they_ came

to be. Will they produce philosophic or religious literature, or will

this step in evolution prove that consciousness was a bad mutation, like

seven fingers or three heads, and drop it from the list of instructions?

Clarke admits that the take-over by the machines is centuries off;

meantime we can enjoy a golden age of intellectronic partnership with

the machine. Linus Pauling, pointing out that knowledge of molecular

structure has taken away the mystery of life, hopes that a “molecular

theory of thinking” will be developed and so improve man that he may

remake his thoughts and his world. Mathematician John Williams believes

that existing human intelligence can preserve its distinction only by

withdrawing from competition with the machine and defining human

intelligence rigorously enough to exclude that of the machines. He

suggests using the computer not just for a molecular theory of thinking,

but also in the science of genetics to _design_ our children!

Whatever lies ahead, it seems obvious that one of the most important

things the computer can help us think about is the computer itself. It

is a big part of our future.

------------------------------------------------------------------------

Index

Abacus, 5, 21, 22, 60, 85, 129, 178, 181

Abstracting computer, 245, 248

Accuracy

analog computer, 82

digital computer, 87

Ackerman, 110

ADAM computer, 258

Adaptive principle, 205

Adders, 107, 108, 115

Adding machine, 129

Addition, computer, 106

Address, computer, 63

Advertising, use of computer, 180

AID, 183, 184

AIEE, 254

Aiken, 46

Air Force, 6, 132, 133, 151, 160, 182, 225

Airborne computer, 90, 154, 158, 162

AiResearch Mfg. Co., 69

Airline reservations, computer, 58, 183, 184

Algebra, Boolean, 8, 110, 119

Alpha rhythm, 126

Alphanumeric code, 104

American Premium Systems, Inc., 175

Analog computer, 21, 45, 72, 74, 80, 125, 203

direct, 76, 79

direct-current, 76

discrete, 80

indirect, 76, 79

mechanical differential analyzer, 76

scaling, 76

Analytical engine, 36, 37

AND gate, 112, 113, 117, 119

Antikythera computer, 25

Apollo computer, 182

space vehicle, 169

Applications, digital computer, 92

_A priori_ concept, 126, 135

APT computer, 209

Aquinas, St. Thomas, 235

Arabic numbers, 23

Archytas, 25

Arithmetic unit, computer, 51, 60

Aristotle, 26

Aristotelian logic, 109

_Arizona Journal_, 179

Army, U. S., 21, 78, 146, 259

_Ars Magna_, 28, 29

ARTOC, 157

Artron, 136

Ashby, W. Ross, 51, 124, 128, 251

ASC computer, 155

Associated Press computer system, 177

Asynchronous computer, 255

Athena computer, 52

Atlas missile, 4, 168

Atlas-Centaur missile, 169

Atomic Energy Commission, U. S., 149

Automatic

control, 80, 203

pilot, 203

Automation, 26, 80, 173, 181, 201, 202, 203, 211, 217

Automaton, 26

Auto-parking, use of computer, 178

Autonetics, 207

AUTOPROMPT computer, 210

AUTOTAG, 156

AutoTutor teaching machine, 213, 225

B-29, 45, 77, 82

Babbage, 5, 35, 37, 41, 51

Babylonian arithmetic, 23

Ballistic computer, 83

Banking, 1, 172, 173

Bar Association, American, 152, 249

Battelle Memorial Institute, 195

Batten, Barton, Durstine, & Osborn, 180

Bell Telephone Laboratories, 4, 147, 241

Bendix Corp., 182, 190, 218

Bendix G-15 computer, 183, 188

Bernal, J. D., 264

Bernstein, Alex, 141

Bettelheim, Bruno, 144

BIAX memory units, 10

Bierce, Ambrose, 43, 121

BINAC computer, 7, 47

Binary, 98

digit, 55, 104

notation, 101, 103

pure, 102, 104

system, 85, 97, 99

variables, 114

Bionics, 7, 132, 135, 255

BIRDIE, 259

Birds, counting, 18

Bit, 55, 104

“Black box” concept, 50, 115

BLADES system, 191

Block diagram, 58

BMEWS, 159

Boeing Airplane Co., 186

Boltzmann equation, 158

Bomarc missile, 186

_Book of Contemplation_, 27

Book of Knowledge, 6, 226

Boole, George, 38, 110

Boolean algebra, 38, 110, 119

Bradbury, Ray, 153, 257

_Brain_, 121

Brain

computer, 128, 129, 130

human, 87, 125, 128

BRAINIAC computer, 88, 117

Britton, Lionel, 121

Buffer

computer, 55

lexical, 238

Buildings, automation of, 217

Burack, Benjamin, 44

Bureau of Mines, U. S., 189

Bureau of Ships, U. S., 255

Burke, Edmund, 32

Burkhart, William, 45

Bush, Vannevar, 13, 45, 76

Business, computer in, 171

Business management, use of computer, 12, 143

Butler, Samuel, 32, 33, 121, 252, 268

CALCULO computer, 75

_Calculus Ratiocinator_, 109

Calendars as computers, 24

California Institute of Technology, 169

Cancer Society, American, 193

_Candide_, 30

Capek, Karel, 43, 121, 215

Caplin, Mortimer, 150

Carroll, Lewis, 38, 118

CDC 1604 computer, 165

Celanese Corp. of America, 207

Celestial simulator, 85

Census, 41

Census Bureau, U. S., 149

Chain circuit, 127

_Characteristica Universalis_, 109

Charactron tube, 66

Checkers (game), 8, 143

Checking, computer, 60

Checkout computer, 183

Chemical Corp., 249

Chess, 8, 9, 16, 35, 99, 142, 156

Circuit

chain, 127

delay-line, 63

flip-flop, 63, 115

molecular, 9, 253

printed, 62

reverberation, 128

Clapp, Verner, 248

Clarke, Arthur C., 265

CLASS teaching machine system, 226-228

Clock, 20, 24, 56, 85

COBOL language, 234

Code, computer

binary-coded decimal, 103, 106

binary-octal, 106

economy, 106

excess-3, 105, 114

“Gray,” 106

reflected binary, 106

self-checking, 105

Color computer, 4

_Commercial Art_, 175

Commission on Professional and Hospital Activity, 194

Communication, use of computers, 179

Computers—the machines we think with · 第 18 / 19 段