Only the Impossible Is Difficult Enough
Dr. Pentti O A
Haikonen
Adjunct
Professor
University of Illinois at
Springfield
Department of
Philosophy
Machine Cognition – Robot Brains – Machine Emotions – Qualia –
Conscious Machines –
Artificial Consciousness –
Philosophy
About self-conscious machines:

(Courtesy of Pete Haikonen)
Books:

Pentti O Haikonen: Robot Brains; circuits
and systems for conscious machines.
Wiley and Sons, UK
2007
From associative neurons and neuron groups to
perception circuits, cognitive architectures, machine emotions, natural language
in machines, machine consciousness
Contains a little bit mathematics and circuit diagrams. Get your soldering iron ready or write some code!
Linear
associative memories are not a new invention; they were investigated already in
the seventies. Their shortcomings became soon apparent. Due to so called
interference their memory capacity was severely limited. The introduction of
non-linear output threshold did help a little, but the problem of interference
was not actually solved. In this book I show how the associative memory can be
dramatically improved by replacing the inner product by other computational
operations in the recall computation. This facilitates the use of non-linear
associative memories in cognitive architectures that are presented subsequently
in the book.
It is useful to read the old book
first.
These pictures are not in the
book:
My first hardware neuron from 1990’s with digital/analog correlator synapse and match/mismatch/novelty detection.
Used for Pavlovian conditioning
demonstration. An execution of the block diagram in fig. 3.3. of the book.


The circuit boards are: Top left, simple audio
synthesizer,
top right and bottom left, the actual circuitry
of fig 4.28, bottom right, one octave filter bank (eight resonance amplifiers)
and a microphone.
(Interconnecting flat cables are removed for
clarity.) Experimental associative neuron group microchips made
by
VTT (Technical Research Center of Finland) were
used (the two big chips).
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The Good Old
One:

Pentti O Haikonen: The Cognitive Approach to Conscious Machines.
Imprint Academic, UK
2003
My background philosophy towards the design of
conscious machines – Easy reading, no mathematics here, lots of
ideas.
Based on cognitive sciences, engineer’s
insights and common sense.
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Pentti O Haikonen:
Videotekniikka 1992 - 1994 (In Finnish). Sold out.
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Recent Journal
Papers:
Haikonen Pentti O A (2010) Quasi-Quantum Computing in the Brain? Cognitive computation 2010
Haikonen Pentti O. A. (2009).
The Challenges for
Implementable Theories of Mind. Journal of Mind Theory Vol. 0, No1. pp 99 –
110
Haikonen Pentti O. A. (2009). The Role of Associative Processing
in Cognitive Computing. Cognitive Computation. Volume 1, Number 1 /
March, 2009
Haikonen Pentti O. A. (2009). Machine
Consciousness: New Opportunities for Information Technology Industry.
International Journal of Machine Consciousness (IJMC). Volume: 1, Issue:
2 (December 2009) pp. 181-184
Haikonen Pentti O. A. (2009).
Qualia and Conscious Machines.
International Journal of Machine Consciousness (IJMC). Volume: 1, Issue:
2 (December 2009) pp. 225-234
Haikonen
Pentti O. A. (2009). Tekoälyn
olemassaolo ja tietoisuus (The existence of Artificial Intelligence and
Consciousness) Niin & Näin 3/2009 (in Finnish, publisher: The Society
for European Philosophy) pp. 45 - 47
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Links:
The excellent unofficial "official" website of machine consciousness and conscious robots of Raúl Arrabales; everything you need to know about what is hot right now. Frequently updated!
About the philosophy of mind, consciousness and language; Giorgio Marchetti's nice website:
Mathematics tutorial: Why differential forms are good for the representation of the physical world? Dr. Terho Max Haikonen explains.
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Essays and other
stuff:

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The Vanishing Headphones
Experiment
or
Did you think two ears alone can do the
trick?
Pentti O A Haikonen
Many of us may have thought that two ears allow
the determination of the sound direction and consequently the perception that
sound sources are external, located out there. However, we also have the
experience that when we listen to stereo music via headphones the sound sources
appear to be inside our head or, at best, partly outside and along the line
between the ears, see figure 1.
Figure 1. The apparent location of sound
sources during mono and stereo listening with
headphones
It should be easy to understand why mono music
appears to be “inside” our head and not outside. The acoustic signals from the
left and right headphone speaker have the same intensity and consequently the
sound should appear to originate from the midpoint between the speakers, which
happens to be inside our head. There is no additional information that could
position the apparent origination point outside our head. A simple experiment
will reveal what the required additional information is. For this experiment
good quality headphones, two good quality omnidirectional microphones (small
electret ones) and good microphone amplifiers that are able to drive the
headphones are required. It is important that the headphones are of a closed
design that cuts out external sounds so that no possible cues of the sound
source direction can be heard. The experiment setup is depicted in the figure
2.
Figure 2. The three steps of the
experiment
The experiment is executed in three
steps:
1. The microphones are close to each
other in front of the head. Obviously both microphones receive the same sound
intensity and consequently the left and right speakers of the headphones
generate a sound with equal intensity. The apparent sound location is in the
middle of the head. The head must not be moved.
2. The head is kept still and the left
and right microphones are brought next to the corresponding headphone speakers.
(It is important that the headphones are of closed design so that no acoustic
feedback, “howling”, can take place!) Now the situation corresponds to binaural
listening; if the microphones, microphone amplifiers and headphones were of good
quality then they should become transparent and the test person should hear as
if no headphones were present. However, this does not happen; the apparent sound
locations will remain inside the head.
3. The test person turns his head. Now
suddenly, whoomph, the sounds are externalized; they appear to come from outside
and the headphones “vanish”. Thereafter the perceived origination points of the
sound stay outside even when the head is kept still. Personally, when
experienced for the first time this effect was quite strange and startling. –The
turning of the head and the associated change of the relative left and right
speaker intensities provide the additional information that positions the sound
sources outside the head.
Sound direction detection is based on the
intensity difference (at higher frequencies) and time delay difference (at
frequencies below 1500 Hz) between the ears and to a small extent to the
directional frequency filtering of the outer ear (pinna). Obviously in this case
the pinnae have no influence as they are covered by the headphones. –More about
sound direction detection and some electronic circuit ideas are presented in my
book “Robot Brains, circuits and systems for conscious
machines”.
Five Easy Steps Towards Conscious
Robots
Pentti O A Haikonen
Consider a robot with environmental sensors for
the sensing of the environment and self-sensors that sense the states of the
robot itself. This robot could be implemented with various degrees of
complexity. Depending on this complexity the following cases can be
distinguished:
1. Simple reflex. A robot
detects an obstacle, backs off, turns a little and goes forward again until
another obstacle is encountered. Would this be a conscious act? After all, the
robot has detected the obstacle and reacted to it, so it must be “aware” of the
obstacle? However, even toy robots can act like this and they are definitely not
conscious.
2. Simple reflex with memory.
The robot is able to react to obstacles and can record its history. For
instance, the robot could learn to negotiate a maze by memorizing correct turns
at each obstacle. Now the robot will be “aware” of the obstacles and the layout
of the maze. Is it conscious or merely executing mechanically a string of
operations?
3. Perception with meaning and
associative memory. The robot perceives the world and can “learn” from
experiences. The approaching obstacle evokes “images” of past encounters with
similar obstacles and the consequences of the same. Some kinds of “pain” for
dangerous objects and “pleasure” for useful objects are also involved. The
evoked “imagery” and the “pain” trigger avoiding actions. In this case the
perceived obstacle has a meaning to the robot –something to be avoided in
certain ways; something that has “pain” associated with it. Perception is not
simple recognition, instead it is an active process of searching and detecting
opportunities and threats. Perceived entities are not recognized, instead they
remind of things and evoke “imagery” of action, which may or may not be actually
executed. The robot is looking for “satisfaction”. The focus of perception and
action is controlled by needs and good/bad criteria; attention
process.
4. Perception with associative memory
and report. The robot can declare what it is perceiving and doing while
doing it and afterwards. The robot can associate meaning with the declarations
of its peers. The robot can also report its self-sensor percepts. This calls for
the use of representational symbols and symbol systems; “words” and
“language”.
5. The robot perceives itself
perceiving. The robot can perceive its own declarations and understand
them. At first this may happen via environment sensors, later on the
declarations may be looped back to the sensory circuits internally. The robot is
able to make the distinction between the percepts that are caused by the
environment and those that are caused by internal processes. The perception of
internally caused “images” and the associative evocation of further “inner
images” lead to the ability to “imagine”. The flow of the “narrative inner
images” and their related good/bad value evaluation would constitute a kind of “
mental content”. On the other hand the robot would have needs to satisfy and
active as well as latent “imagery” of tasks to be executed. All these would
constitute the “mind” of the robot. At this point the robot seemingly has most,
if not all hallmarks of consciousness.
It should be noted that none of these steps
involve the creation of “specific conscious circuits”. The steps 3 and 4 are
crucial, but clearly within the realm of engineering and can be realized by
proper application of associative memory and system architecture. The final step
5 does not actually involve any additional hardware, instead an additional way
of operation is required; the inner feedback that enables the robot to perceive
its mental content silently, without the need to act it out for the
environmental sensors. It should also be noted that the resulting phenomenon
that has the characteristics of “real consciousness” is not a circuit, it is not
an observer, it is not a causal agent; instead it is a content level way of
operation. It is the way, how the system perceives itself
perceiving.
Summary of the Haikonen Model of Machine
Consciousness
The Haikonen cognitive machine is characterized
by: Distributed signal representation, associative processing and learning,
perception process, sensory attention and inner attention, the flow of inner
speech, inner imagery and the equivalent for other sensory modalities,
evaluation of significance, basic system reactions, machine emotions,
motivation, imagination, “mirror neuron” action. This machine utilizes an
architecture that is characterized by: Sensory preprocessing circuits that
derive distributed representations from sensors, very large number of
introspective feedback loops that detect sensory information and broadcast it to
other loops, associative cross-coupling of these loops, attention control via
large number of variable thresholds. The key concepts are summarized
here.
Reception. The system receives signals from
sensors.
Detection. The system
discriminates received signals from noise and interfering signals (non-linear
threshold mechanisms etc.)
Perception. The system
augments signal detection by attention, experience, context and expectations
(feedback mechanisms) A percept is the “official” result of perception process.
Percepts have direct causal meaning: They depict the physical entity that caused
them.
Introspection. The system can
only acquire information via sensory circuits. Therefore it is not inherently
aware of the inner thinking processes. There is an exception, though; certain
match/mismatch conditions must be detected at the neural level and this
information must be made available without actual sensors. The winning results
of the actual thinking processes may manifest themselves as motor actions, which
in turn may be perceived via sensors. Thus the system may become aware of the
products of its thinking processes via external feedback. This is awkward and
therefore a method that enables the system to introspect its mental content
internally is required. This can be achieved by internal feedback that returns
the mental content into the equivalents of sensory percepts like this: Auditory
percepts; inner speech, inner music. Visual percepts; inner imagery. Body
sensors; imagined movements. Inner sensors; emotional states. These inner
"representations" are not independent of each other; inner speech is related to
inner situational representations etc.
Attention. Only a small number
of entities may be actively processed at a time. The selective process is called
attention. Sensed entities are selected by sensory attention, mental entities
are selected by inner attention.
Affordance. A percept that
evokes possibilities for use and action; this necessitates the activation of
cross-connections between various modalities.
Cognition. The association of
auxiliary meanings with percepts, the use of percepts as symbols, the
manipulation of these, reasoning, response generation,
language.
Imitation. Imitation is the
ability to reproduce seen action or heard sounds. This is achieved via “mirror
neuron action”; sensory signals activate proper motor
neurons.
Imagination. Imagination is
the forming and manipulation of conscious mental representations of actions and
entities, which are not sensorily present. Actions and their consequences may be
imagined and evaluated. Imagination and imitation utilize same motor neuron
connections; in imagined “mirror neuron action” the evoking representations have
inner cause instead of sensory origin.
Learning. The acquisition of
mental entities and connections between these. Motor routines
included.
Emotions. Emotions are seen as
combinations of basic system reactions (accept, reject, approach, withdraw ...)
triggered by emotional criteria (good, bad, pleasant, painful etc). Emotions
operate as attention control, motivation, short-cut templates for style of
action. Emotions affect learning. The Haikonen systems reactions theory of
emotions is used.
Language. Language is seen as
a description method for external and internal states of affairs. Perceived
situations may be translated into linguistic description, linguistic
descriptions may be used instead of direct sensory percepts. Inner speech is the
system’s internal interactive narration. The Haikonen multimodal model of
language is used.
Consciousness. The content of
consciousness is created by perception. The awareness of the environment is
created by the perception of environment. Self-consciousness is created by the
perception of body and its processes and the perception of mental content
(introspection). There are no special circuits or locations that would turn
entering signals into conscious ones. Each circuit operates basically in the
same way whether the overall operation is “conscious” or “non-conscious”. The
contents become “conscious” when the various circuits operate in unison, focus
attention on the same entity as perceived by the various sensory modalities.
This involves a wealth of cross-connections and subsequently the forming of
associative memories. Therefore the “conscious” event can be remembered for a
while and can be responded to and reported in the terms of the various
modalities such as sounds, words, gestures, drawings, written text, etc. A
conscious percept appears as an affordance.
Phenomenality. It is proposed
that the subjective experience “the feel of being conscious” is produced by the
way of operation of the perception-centered system; “the system perceiving
itself perceiving”. This subjective experience is “apparently immaterial”, which
in turn is the direct consequence of the absence of any inner observing core.
The material innards are not inspected for the detection of the inner states,
instead these states connect directly to other states and cause the evocation of
responses. Therefore the material nature of the system is not observed and does
not enter into the mental content. The machinery remains transparent and the
subjective experience would therefore be a content-level phenomenon (like
information carried by modulation) that is related to the dynamics of attention
and the flow of inner representations.
Robots Just Want to Have Some
Fun
Pentti O A Haikonen
Why can't we explain consciousness? I think
that this is because we have approached the problem from a wrong
direction.
True machine consciousness and robots with
conscious minds would seem to be beyond our reach as long as we cannot answer to
the basic questions about human consciousness; what is it, is it really an
immaterial entity, what is this phenomenal part of it, what exactly is the feel
of pain or pleasure. Until we know this there is little hope to reproduce
consciousness in machines in any plausible way.
Our thoughts and conscious mind seem to be
immaterial. Our everyday experience seems to prove this beyond any suspicion; we
cannot perceive any material processes taking place when we think. We can see
and perceive things and actions out there directly as such, without any apparent
material medium. Likewise we can hear sounds coming from our environment, again
as such. Moreover, our apparently immaterial percepts have phenomenal qualities.
We can feel the heat of the sun, the wetness of the rain, we can feel pain and
pleasure. The apparent immaterial nature of all this has so far prevented
plausible explanations of consciousness.
How can anything immaterial arise from the
material brain? Many contemporary theories of consciousness try to equate the
processes of the mind to biological brain processes, to patterns of electrical
and chemical neural activity. There has been some success there, as today brain
activity can be monitored by various methods like magnetic resonance imaging and
positron emission tomography. Also certain neural transmitter chemicals like
endorphins have been associated with the alleviation of pain and the generation
of pleasure. However, in this way no answer may necessarily emerge to the
question why the mind appears to be immaterial, why the mental entities are
about something and have phenomenal flavors, subjective
feel.
Why can't we explain consciousness? I think
that this is because we have approached the problem from a wrong direction.
Instead of asking what this immaterial consciousness could be we should ask why
do we perceive the mind as immaterial in the first place. A successful answer to
this question will evaporate all the other problems and make them
redundant.
Our knowledge about the physical world comes
from our senses; seeing, hearing, smell, taste, touch, etc. Our explanation of
consciousness must begin with this; the way in which the brain represents
external information to itself. Indeed, researchers like Prof. Igor Aleksander
and others have seen the ability to create suitable inner representations from
sensory information as an essential prerequisite for consciousness. But, are
these representations immaterial depictions of the actual entities? If they were
not, then surely we would see some material carrier for them, like some "neural
blackboard" or "theater" for our inner eye to observe, but we do
not.
It is known that the receptors of the senses
generate neural signals in response to their stimulation; these and nothing else
are forwarded to the brain. For instance, each photoreceptor on the retina
generates a neural signal that corresponds to the illumination of that receptor.
However, our visual experience does not consist of odd collections of retinal
stimuli or the corresponding neural signal patterns, instead we appear to see
actual visual objects out there, without the awareness of any related neural
processes. Somehow these neural signals seem to be able to convey the
information content only while remaining transparent in themselves and
consequently our percepts and thoughts become to be about real word entities
instead of the neural signal patterns that actually carry them. This effect, I
think, is the key to the essence of our conscious mind. Surely the brain must be
performing a complicated, perhaps even supernatural trick here, how else could
this be explained?
In fact, this trick is not a complicated one.
We can consider a simple experiment that illustrates this point. What would we
feel if we scanned a rough surface with a rigid stick? It so happens that we
would not perceive the vibrations of the stick as such, instead we would
perceive the groove patterns of the surface. There are no nerve fibers going
through the stick and into our brain, therefore common sense would say that we
could only feel the vibrations of the stick against our fingers. This, of
course, is what happens, but these vibrations are caused by and contain
information about the actual roughness of the surface and this is what we
perceive. The rigid stick remains transparent, not because of any complicated
trick, but by the sole virtue of its rigidity, the ability to preserve vibration
information. In a similar fashion the neural signals from the senses are
"rigid". They are able to convey sensory information in a transparent way. This
sensory information is carried like modulation on a radio wave; it is the music
that we hear not the carrier wave. However, the carrier is necessary; neurons
are needed to carry and switch neural signals even though we cannot perceive
these without external means. The "phenomenal" information is carried by the
neural signals, the system will operate on this information only and not on the
physical nature of the carrying medium. Therefore our thoughts are about
something instead of being mere neural firings. Thinking and reasoning are thus
based on the interaction of the carried information content, the modulation
patterns of the neural signals. The brain as a higher level system does not have
to be able to perceive its material basis; the actual nature of the carrier
medium and hardware does not enter into the logic of the thought
flow.
To understand radio programming we must
investigate the contents of the modulation, the meaning of the transmitted
program. The mere inspection of the radio circuitry will not do; the meaning is
on a higher level. In order to understand speech we do not have to study air
molecules. Again it is the modulation of the sound that matters even though
without air molecules there would be no sound. In a similar way the mental
content arises above the actual physical machinery of the brain. The system will
perceive the apparently immaterial mental content only and may therefore arrive
at the naïve conclusion of the immateriality of the mind.
The concepts of modulation and circuit
transparency are well understood in electronics engineering. Consequently the
consideration of mental entities as modulation patterns carried by neural
signals gives an acceptable explanation to the problem of the apparent
immateriality and aboutness of these entities. However, the strong phenomenal
properties like pain and pleasure cannot be readily explained in this
way.
What is pain? When we hurt ourselves, a neural
signal is transmitted from the affected pain receptor to the brain and we feel
pain. However, this neural pain signal is actually similar to the other neural
signals in the brain. Why then would this signal be felt as painful when the
other similar neural signals like those originating from the eyes or ears do not
very much feel like anything? What is the specific feel of
pain?
The meanings of sensory neural signals are
causally grounded to the outside world, to the properties of the sensed
entities. However, the feel of pain is not grounded in this way to sensed
entities because pain is not a property of a sensed entity. Pain receptors do
not sense pain, they simply sense cell damage and the caused signal indicates
only that pain is to be evoked. The pain signals themselves do not carry the
feel of pain, instead the feel arises from the effects that these signals have
on the system and this in turn depends on the way how the signals are connected
to the system. Thus the feel of pain is not a representation, instead it is a
system reaction. However, we can very well label pain and describe it verbally,
we can associate a linguistic representations with it.
What kinds of system reactions would feel like
something to the system? Here we must consider one cognitive mechanism that
according to researchers like Prof. John G. Taylor and others is closely related
to consciousness, namely attention. The external world offers numerous stimuli,
but in order to respond properly we have to focus our sensory attention on the
most pertinent set of stimuli at each moment. Likewise we must focus our inner
attention so that a coherent train of thoughts can arise. Pain and pleasure
affect attention strongly. Pain demands attention; it disrupts any attention
that is focused on any on-going task. Obviously pain signals are transmitted to
every part of the frontal cortex where they try to stop whatever is going on so
that something else that might stop the pain could be initiated. This global
disruption of attention is necessary as the pain signal itself does not know
what should be done to stop the damage and therefore it has to broadcast its
message to everywhere and disrupt the attended processes there. It is exactly
this general broadcasting that makes us moan and writhe when in pain. I consider
this disruptive broadcasting as a fundamental property of pain and I would dare
to go to as far as to propose that the subjective feel of pain is indeed caused
by this attention disruption. Thus, if you were the system this disruption in
its various forms would be what you would report as pain. This proposed link
between attention and pain would also explain why pain may be alleviated by
focussing attention heavily on unrelated matters and suppressing the disruption
in this way.
Pleasure's effect on attention is different.
Pleasure signals indicate good conditions that should be sustained. Therefore no
shift of attention is required or desired, instead attention will be more and
more focussed on the activity that produces the pleasure signals. This would
also suppress the initiation of any alternative actions.
There is nothing mystical in the apparent
immateriality of our minds. The mind appears immaterial as it operates directly
on the carried information and cannot perceive the material carrier basis. Each
piece of information appears different from the others as the causally grounded
meaning is different. The phenomenal pain and pleasure have their specific feel
because they are system reactions, not representations. Once we understand this
we can begin to consider how the mind works as a system; how the mind utilizes
inner speech and imagery, how emotions arise and values emerge, what motivates
action.
This approach to consciousness opens up the way
for the design of sentient robots with apparently immaterial minds; robots that
have the flow of inner speech, inner imagery, sensations and emotions; robots
that feel pain and pleasure; robots that just want to have some
fun.