Behavior Pattern Recognition
By The Human Mind
Pattern Recognition By The Watson Supercomputer
In February 2011, IBM proved that computers can also recognize patterns, by demonstrating the Watson Supercomputer, which recognizes patterns in text data to surpass the capabilities of the human mind.
Pattern Recognition -Event Recognition
behavior pattern recognition, Israeli security systems evaluate a
series of events to reach a conclusion. Their airport screening
supervisors have a score sheet with a list of behaviors on it. Are
they merely loitering in the area? Are they wearing a warm coat on a
hot day? Are they sweating or nervous when they come to the airport
security checkpoint? Do they make hand signals to colleagues? When a
list of specified behaviors hit a certain number, the system
recognizes a potential threat. Similar “behavior pattern
recognition” is applied in the financial world. Bank computers
evaluate a progression of transactions to trigger an alarm concerning
a suspicious, or fraudulent event. A sequence of activities become a
recognized pattern, with a single name - fraud. The human mind
recognizes patterns on a massive scale. Science has discovered the
logic behind some pattern recognition functions of the mind.
2004, a Nobel Prize acknowledged the discovery that the mind uses a
nervous system uses dynamic time dimensioned recognition.The
human mind deals comfortably with sequences of millions of neural
matrices in events.
enables recognition of the event by identifying any unique quality of
any of these matrices.
combinations of words describe the world and its environment.
handles rising hierarchies of meaning.
coding enables a virtually infinite memory storage capacity.
simulation of the mind will require the simultaneous recognition of
Pattern Recognition - Combinatorial Coding
2004, a Nobel Prize acknowledged the discovery that the mind uses a
combinatorial coding process in the neural matrix to recognize
patterns. The researchers used calcium imaging to identify individual
mouse receptor neurons, which fired on recognition of specific odors.
When the neurons were exposed to a range smells, they found that a
single receptor could identify several odors. At the same time, each
odor was identified by several receptors.
Different combinations of
receptors fired within the olfactory matrix. Recognition of those
combinations enabled the mind to individually identify different
odorant molecules. A similar matrix of chemoreceptors in the tongue
identify molecules which carry information on taste. Other matrices
of receptors are massed together to form sensory subsystems such as
eyes and ears. This website suggests that the vast memories of
neurons for the combinatorial codes of such neural matrices enable
the mind to remember and recognize the complex patterns of the
is an algorithm, which enables
complex and intelligent interactions between functional networks in
the nervous system. Intuition
eliminates unrecognized combinations through inhibition.
Pattern Recognition - Dynamic Recognition
nervous system manages dynamic recognition. The recognition of an
odor identifies a single entity among millions. But, animals also use
this ability for time dimensioned recognition. Dogs can quickly sniff
a sequence of footprints of a person and determine accurately which
way the person is walking. The animal's nose can detect the relative
odor strength difference between footprints only a few feet apart, to
determine the direction of a trail. The somesthetic association
region of the brain enables you to recognize a pair of scissors, with
your eyes closed. If this region is damaged, you will be able to feel
the scissors, but you will not be able identify it. This recognition
process is also dynamic. An instant touch cannot identify a pair of
scissors. You have to run your fingers over it. A sequence of touches
recognizes a single object.
Pattern Recognition -Sequential Matrices
human mind deals comfortably with sequences of millions of such
matrices. People are reported to be able to remember and recognize
any one of 10,000 images displayed to him at one second intervals.
Each image is a matrix of millions of pixels. The mind has the
ability to remember and recognize images in huge sequences of massive
matrices. Combinatorial codes enable matrices to record, interact and
recall the patterns of other matrices. This ability to identify the
unique qualities of matrices over time enables behavior pattern
recognition by the mind. That process can identify events the way a
movie subtitle identifies a sequence of film images. If a recording
iterates the subtitle across the length of an activity, then any
individual frame of the movie will identify the action through the
subtitle. In such matrices, an iterating pattern can recognize a
Pattern Recognition - Recognizing “Sit”
mind learns by paying attention, which sets the context. The system
pays attention to an activity contextually learned as “Sit.” The
system registers the “Sit” matrix against every frame of a
sensory movie of a person sitting down. Subsequent recall of any
frame of the movie would link to the “Sit” matrix. Like a strip
of movie film, where the title is repeated, while the images change.
Later, any frame of the movie can recall the related title. It
symbolizes the act and enables recognition. Intuition is
a process, which enables recognition of the title by identifying any
unique quality of any of these matrices. The human mind records and
recognizes events against millions of sensory contexts. Specific
association regions of the brain are known to recognize such events.
Understanding events is the essence of thinking.
Pattern Recognition - Recognizing Verbs And Sentences
pattern recognition enables the mind to understands verbs. A running
image is recognized by the event association region as "run".
Running, sitting down, or walking are simple events, recognizable
from a single symbol. Beginning from a set of primitive words,
language expresses the vast knowledge of humanity in myriad
combinations of words and sentences. Language is not
onecontinuousexpressionoftheidea. The words need to be separated for
understanding. There are sentences, paragraphs, chapters and books.
The mind recognizes these symbols in time dimensioned packets. Each
sentence has an acceptable length and every sentence closes with a
period. Those symbols represent ever longer sequences of pattern
Pattern Recognition -Unique Sequences Of Words
sentence is a behavior pattern. Each unique combination of distinct
words have distinct contextual meanings. It contains data regarding
objects, events and their static and dynamic relationships. It is
recognized in sequential segments. Each word is separately recognized
and, subsequently, the whole meaning of the sentence. Even the
sequence is important. If it is changed, the meaning changes. “Jack
killed Jacob.” is not the same as “Jacob killed Jack.” The
subtleties of grammar change meaning too. Recognition of these
combinatorial groups in the neural matrices occurs in finite time
dimensioned sequential packets. The average sentence structure and
length suggests a ten to fifteen seconds period for the absorption of
an event by the mind.
Pattern Recognition - Simultaneous Recognition
mind also simultaneously recognizes multiple events. When you drive
through traffic, you are separately aware of the movements of many
objects in your field of vision. While attention focused on a single
event, others are also recognized. Each event has a distinct context,
history and future possibilities. Cars move in various lanes. People
cross the road. Signals flash. You recognize where a pedestrian came
from and where he is likely to go. Behavior pattern recognition
implies a complex past, an active present and a pregnant future. A
picture can represent many objects. The neural matrices of the mind
can represent multiple events, just as a TV screen displays many
Pattern Recognition -Hierarchies Of Understanding
recognition permits infinitely differentiated steps. Combinations of
events could also become complex event symbols, which represented
sophisticated concepts such as war, or democracy. Current inputs are
combined with memories from the past. They represent rising
hierarchies of understanding. Such hierarchies contain millions of
images. Event recognition can explain virtually any type of human
intelligence from planning a strategy for war to comprehending the
theory of relativity. Each is a hierarchy of patterns linked in
unique ways. The mind can consciously “dig down” ever deeper into
any sentence, recalling event memories, to understand the context of
an expressed idea. Once this capability is assumed, thought processes
appear less mysterious. Most cognitive processes revolve around the
recognition of events, their recall from memory and the knowledge of
Pattern Recognition - Massive Memories
programming code is galactic in size and magnificent in its detailing
complexity. The size and detail makes such pattern recognition
possible for the human mind. Nature operates on a grand scale. The
reported volume of the DNA code in your body is an indication of the
sheer power of nature. At the moment of conception, the genetic DNA
information in a single fertilized human egg occupies a thousand 500
page books. In a grown human body, the total of those codes will fill
the Grand Canyon fifty times over with 500 page manuals! Similar
memories are stored by the nervous system.
system can compare current recognition with the analysis of an image
you saw twenty years ago. In addition, special purpose entities
within the brain evaluate sensory inputs to recognize myriad patterns
in the environment. There are systems, which define the edges, lines
and movements of objects. Others recognize faces, hands and eyes.
Mirror neurons recognize the emotions felt by the people, who
interact with you. It is the ability to simultaneously recognize
immense volumes of data, which grants the mind its massive competence
in behavior pattern recognition.
Pattern Recognition - Computer Simulation
is easily conceivable that computers could simulate the olfactory
matrix, which is reported to contain 10,000 receptor cells, to
identify odors. Any computer, which aims to simulate the human mind
will need to build similar matrices to recognize the millions of
objects all around us. Matrices will be required to identify the
relationships of objects, such as bigger, better, or above and below.
Then follows behavior pattern recognition. Those iterative matrices
will recognize “Jack put the glass on the table.” This could
proceed to “Jack came home and drank water.” Further advances
would place an emotional interpretation of events. “Jack slammed
the glass on the table in disgust.”
matrices can remember a virtual infinity of combinations. So, cubic
miles of memories are required to record, recognize and recall
events. At the highest level, a single matrix will perceive,
recognize, judge and act on the global information available to the
system. The prefrontal regions of the brain could be such a matrix.
Memory storage on the required scale is a huge problem. But, if
Moore's Law solves this problem, computers, could achieve true
behavior pattern recognition. They could possess far larger matrices
and be genuinely more intelligent than humans.
This page was last updated on 31-Dec-2013.