Posts Tagged ‘perception’
Einstein speaks on theoretical physics
Posted by: adonis49 on: February 16, 2010
Einstein speaks on theoretical physics; (Nov. 18, 2009)
The creative character of theoretical physicist is that the products of his imagination are so indispensably and naturally impressed upon him that they are no longer images of the spirit but evident realities. Theoretical physics includes a set of concepts and logical propositions that can be deduced normally. Those deductive propositions are assumed to correspond exactly to our individual experiences. That is why in theoretical book the deduction exercises represent the entire work.
Newton had no hesitation in believing that his fundamental laws were provided directly from experience. At that period the notion of space and time presented no difficulties: the concepts of mass, inertia, force, and their direct relationship seemed to be directly delivered by experience. Newton realized that no experience could correspond to his notion of absolute space which implicates absolute inertia and his reasoning of actions at distance; nevertheless, the success of the theory for over two centuries prevented scientists to realize that the base of this system is absolutely fictive.
Einstein said “the supreme task of a physician is to search for the most general elementary laws and then acquire an image of the world by pure deductive power. The world of perception determines rigorously the theoretical system though no logical route leads from perception to the principles of theory.” Mathematical concepts can be suggested by experience, the unique criteria of utilization of a mathematical construct, but never deducted. The fundamental creative principle resides in mathematics.
Logical deductions from experiments of the validity of the Newtonian system of mechanics were doomed to failures. Research by Faraday and Maxwell on the electro-magnetic fields initiated the rupture with classical mechanics. There was this interrogation “if light is constituted of material particles then where the matters disappear when light is absorbed?” Maxwell thus introduced partial differential equations to account for deformable bodies in the wave theory. Electrical and magnetic fields are considered as dependent variables; thus, physical reality didn’t have to be conceived as material particles but continuous partial differential fields; but Maxwell’s equations are still emulating the concepts of classical mechanics.
Max Plank had to introduce the hypothesis of quanta (for small particles moving at slow speed but with sufficient acceleration), which was later confirmed, in order to compute the results of thermal radiation that were incompatible with classical mechanics (still valid for situations at the limit). Max Born pronounced “Mathematical functions have to determine by computation the probabilities of discovering the atomic structure in one location or in movement”.
Louis de Broglie and Schrodinger demonstrated the fields’ theory operation with continuous functions. Since in the atomic model there are no ways of locating a particle exactly (Heisenberg) then we may conserve the entire electrical charge at the limit where density of the particle is considered nil. Dirac and Lorentz showed how the field and particles of electrons interact as of same value to reveal reality. Dirac observed that it would be illusory to theoretically describe a photon since we have no means of confirming if a photon passed through a polarizator placed obliquely on its path.
Einstein is persuaded that nature represents what we can imagine exclusively in mathematics as the simplest system in concepts and principles to comprehend nature’s phenomena. For example, if the metric of Riemann is applied to a continuum of four dimensions then the theory of relativity of gravity in a void space is the simplest. If I select fields of anti-symmetrical tensors that can be derived then the equations of Maxwell are the simplest in void space.
The “spins” that describe the properties of electrons can be related to the mathematical concept of “semi-vectors” in the 4-dimensional space which can describe two kinds of elementary different particles of equal charges but of different signs. Those semi-vectors describe the magnetic field of elements in the simplest way as well as the properties electrical particles. There is no need to localize rigorously any particle; we can just propose that in a portion of 3-dimensional space where at the limit the electrical density disappears but retains the total electrical charge represented by a whole number. The enigma of quanta can thus be entirely resolved if such a proposition is revealed to be exact.
Critique
Till the first quarter of the 20th century sciences were driven by shear mathematical constructs. This was a natural development since most experiments in natural sciences were done by varying one factor at a time; experimenters never used more than one independent variable and more than one dependent variable (objective measuring variable or the data). Although the theory of probability was very advanced the field of practical statistical analysis of data was not yet developed; it was real pain and very time consuming doing all the computations by hand for slightly complex experimental designs. Sophisticated and specialized statistical packages constructs for different fields of research evolved after the mass number crunchers of computers were invented.
Thus, early theoretical scientists refrained from complicating their constructs simply because the experimental scientists could not practically deal with complex mathematical constructs. Thus, the theoretical scientists promoted the concept or philosophy that theories should be the simplest with the least numbers of axioms (fundamental principles) and did their best to imagining one general causative factor that affected the behavior of natural phenomena or would be applicable to most natural phenomena.
This is no longer the case. The good news is that experiments are more complex and showing interactions among the factors. Nature is complex; no matter how you control an experiment to reducing the numbers of manipulated variables to a minimum there are always more than one causative factor that are interrelated and interacting to producing effects.
Consequently, the sophisticated experiments with their corresponding data are making the mathematician job more straightforward when pondering on a particular phenomenon. It is possible to synthesize two phenomena at a time before generalizing to a third one; mathematicians have no need to jump to general concepts in one step; they can consistently move forward on firm data basis. Mathematics will remain the best synthesis tool for comprehending nature and man behaviors.
It is time to account for all the possible causatives factors, especially those that are rare in probability of occurrence (at the very end tail of the probability graphs) or for their imagined little contributing effects: it is those rare events that have surprised man with catastrophic consequences.
Theoretical scientists of nature’s variability should acknowledge that nature is complex. Simple and beautiful general equations are out the window. Studying nature is worth a set of equations! (You may read my post “Nature is worth a set of equations”)
Experimentation: natural sciences versus people’s behavior sciences
Posted by: adonis49 on: October 17, 2008
Article# 40, April 2nd, 2006
“Experimentation: natural sciences versus people’s behavior sciences”
This article is intended to compare the kind of controlled experiments that are applied by scientists in physical natural phenomena and those developed by scientists dealing with the behavior of people or employing human participants in the experiments.
Although the physical sciences such as all the branches in physics and chemistry used controlled experimentations long time ago to develop the huge body of knowledge on the natural phenomena, it was the social and psychological sciences that tried to develop the appropriate and complex statistical modeling packages in order to study the more complex and more varied human behaviors. It appears that the restricted and countable number of variables in studying the physical nature and their relative lack of variability with time did not encourage the physical scientists to contemplate sophisticated statistical models for their controlled experiments or even to teaching the design of experiments in the engineering curriculum.
Before we expand on the variability of human behaviors it might be more appropriate to analyze the most critical difference in the two sciences. Knowing that any concept is synonymous with the corresponding necessary set of operations in order to be able to measure it scientifically in experiments we can understand the big leap forward of the body of knowledge in natural sciences compared to the social and psychological sciences. Whereas the physical scientists can define the concepts of force, moment, power and the like through the relationships of measurable variables based on length, time, and mass the scientists investigating human behaviors have to surmount that hurdle before seriously contemplating to measure human concepts. Human behavior and the cognitive concepts of attitudes, mental abilities, and moods, problem solving mechanisms, perception, and the like cannot be measured scientifically until sets of operations are agreed on for each one of these concepts through the study of human activities or the things that people do while performing a valid task or a set of purposeful tasks. For example, saying that color blindness is a deficiency that confuses colors will not cut it; what is needed are a set of instances that could define this illness such as what exactly are the colors of the spectrum with mixtures of two primary colors can a protanope (color blind individual) match that are different from normal people, he will confuse a blue-green color with white or gray, will confuse red, orange, yellow, yellow-green, and green when suitable brightness and saturations of these colors are used, and has reduced visibility in the red end of the spectrum.
Two decades ago the air force in the USA contracted out groups of psychologists and human factors professionals to specifically establish a set of operations that could be submitted to potential airplane fighters to measure and evaluate their capabilities for the mental and perception workload needed for the job. This set of ten or twelve operations measuring short term memory capacity, reaction times, computational abilities, attention span, and types of errors committed in each operation is the kind of hurdles that the study of human behavior have to surmount.
The operationism of a single human concept may be a life project for a group of scientists that require secure and continuing funding from concerned parties who have vested interests in thorough study of the concept. It is obvious that limited human concepts will enjoy deeper and more complete investigations than others.
May be because the physical scientists did not face the problems of establishing sets of operations that the method of controlled experimentations was not deemed essential enough to rigorously teach in high school programs and ultimately failed to initiate the students to the experimental methods; until recently when social sciences made significant in roads into the educational programs. This lack of early initiation of students to experimental methodology might also be the main reason why rational thinking and the experimental mind is not that widespread throughout all societies and are just confined to the privileged who could afford higher educations at select universities.
Whereas physical scientists rely on equipments to objectively observe and measure, the more the equipments are precise the more accurate are the data; scientists of human behavior have to rely on people’s responses and observations. It has been proven that man is not a good observer of complex events; even when viewers are forewarned that they are to see a movie about a crime and that that are to answer questions about details later the accuracy of the observers are very low.
Man is unable to be an objective recorder of the events that transpire because he gets involved in the scene actions. Man has a very narrow range of attention and barely can satisfactorily attend to a couple of stimuli. This observation deficiency is compounded by our sensory differences and illusions; for example, one in sixteen is color blind, many suffer from tone deafness, taste blindness and so on.
Man does not think of himself objectively but rather has convictions, feelings, and explanations based on very restricted experiences, hearsays, memories and he tends to generalize and develop a set of beliefs concerning the operation of the mind. Man usually expects to see and then see what he wants to see and hardly deviates from his beliefs and sometimes even when faced with facts. For example, many scientists have overlooked obvious data because they clanged to their hypotheses and theories. Man has to generate an abundance of reliable information and assimilate them before he could eliminate a few systematic biases that he acquired from previous generations and his personal experiences. Consequently, experimenting with people is more complex and more difficult than the physical scientists or engineers have to cope with.
First, there are no design drawings for people’s mind and behavior as engineers are familiar with because the structure of human organisms is approximately delineated and the mechanisms are imperfectly understood.
Second, people vastly differ in anthropometric dimensions, cognitive abilities, sensory capabilities, motor abilities, personalities, and attitudes. Thus, the challenge of variability is different from physics where phenomena behave in stable fashions, are countable, and can be controlled with minimal management.
Third, people change with time; they change in dimensions, abilities and skills as well as from moment to moment attributable to boredom, fatigue, lapse of attention, interactions among people and with the environment. People deficiencies in senses, physical abilities and cognitive capabilities changes with time and thus, the techniques of selecting subjects have to account for the differences in age, gender, specific deficiencies, training, educational levels, communication skills, and incentives to participate in an experiment.
Fourth, the world is constantly changing and systems used by people are changing accordingly. Thus, interfaces for designing jobs, operations and environment have to be revisited frequently to account for new behavior and trends.
Fifth, everyone feels is an expert about human behavior on the basis of common sense acquired from life and specific experiences and we tend to generalize our feelings to all kinds of human behaviors but not so expert in the fundamentals of natural sciences such as physics or chemistry. We think that we have convictions concerning the effects of sleep, dreams, age, and fatigue; we believe that we are rather good judges of people’s motives, we have explanations for people’s good memories and abilities, and we have strong positions on the relative influence of nature and nurture in shaping people’s behavior. Consequently, the expertise of psychologists and human factors professionals are not viewed as based on science.
Six, physical scientists may enjoy the possibility of “testing to destruction” of prototypes or the materials under study, a luxury that experiments on people forbid or are impossible to do outside the safety range allowed by moral standards, laws, and regulations. Research on people has to circumvent this major difficulty by using dummies, animals, or willing subjects thoroughly aware and educated to the dangers of the procedures.
Seventh, research on people is regulated by privacy laws and concepts such as consciousness, mental images, fatigue, and motives are highly personal experiences and not open to public inspection while science must be a public affair and repeatable by other researchers.