János Farkas:

 

Knowledge Deficit and Knowledge Society

 

(Paper delivered at Infocommunication Techniques and Man, a conference organised by the Communications Conciliatory Forum. Budapest, 19th February 2004. Published in Infocommunication Technologies and Man. Edited by Dr. Imre Mojzes. Műegyetemi Kiadó, Budapest, 2004. Pp. 79-108.)

 

 

Introduction: Do we have a Theory of Man?

 

As a sociologist, I seem to identify the relation of dependent and independent variabels (X, Y) in the topic of this conference. The first part of the title, infocommunication techniques, can be clearly defined as the entirety of information technology and communication devices and systems. “Man” or “the human factor”, however, is less known, the most we can come up with are metaphors and analogies, therefore we do not have sufficient knowledge about the relation of the two variabels. When we acquire knowledge about the material world, from which these devices arise, we are heading towards the conceptual unity of natural sciences and engineering. The essence of man, however, cannot yet be explained by a unified theory of causality. Due to the complexity of society and the labyrinth-like, inexhaustible sources of human motivation, social sciences and humanities are burdened by a „cognitive delay”, compared to our knowledge of nature and the artificial world. The problem is not that we know little, but we are unable to create a unified theory for this knowledge.

 

As shown by the development of technology, we are doing rather well in understanding nature. We have two proven theories for the unified principles that our world is governed by. One is the atomic theory and the other is evolution. We can use assertions, concerning the inorganic and organic parts of nature, which can be proven by experiments. We had the opportunity to explore the physiology of thinking, the possibilities of artificial intelligence and emotions, as well as use neurobiology to study the learning process in the context of molecular biology.

 

The question is, can we extend the theories of natural sciences to learn about society and man? Can we develop a unified theory of man, based on natural and social sciences? Why do we insist on providing a theoretical explanation for our world? Because in science nothing makes sense without theories. It is in our nature to collect everything we know into a certain context, to create one story, the recreation of our world. The biggest challenge of our time is to describe complex systems accurately and extensively. While descriptive and analytic social sciences are real sciences, social theory is not a real theory, because it lacks the system of causal explanations, reaching all the way from the organisational level of society to the mind or the brain and vice versa, rising from the brain to the level of society.

 

 

 

            1. Knowledge deficit concerning man

 

I wish to use the previous statement to develop my hypothesis on knowledge deficit, claiming that we do not have a unified theory of man, who becomes associated with the devices of modern technology, depending on his/her circumstances. 

 

Information and/or knowledge society, the social prerequisites and consequences of infocommunication devices, human behaviour, motivation and so on give rise to incredibly complex problems. We do not have sufficient knowledge to provide an answer for these problems. This is what I call “knowledge deficit”. Due to this insufficient (or mosaic-like) knowledge we tend to develop caricature-like models, being unable to use good teleological and sound simulation models. In my view “knowledge deficit” means in this context that we have yet to fully define how the use of infocommunication devices becomes more extensive in society, what kinds of opposition arise during the process and what types of social and political impacts or even problems are generated? That is why we find it difficult to define the notions of information or knowledge society. The main problem lies in the discrepancy between the “development (over-development) of technology” and the “underdeveloped” nature of our social knowledge. This problem is manifested in the contradictions between the rise of technical innovation and the social process of its diffusion. Rogers examined the wider use of new sowing-seeds among American farmers as early as the 1920’. He also looked at which diffusion mechanisms are at play when consumers learn about new medicines. It is always the human environment where technical achievements are welcome or rejected.

 

When I was a student I came across an enlightening idea by the famous Chinese philosopher, Lao-Tzu, who says that in the long term the “soft” always overcomes the “hard”. But what is “soft” and what is “hard” in human history? Before we answer this question, let me mention another story. In a summer evening of 1977 we were waiting for our plane at the London airport during a go-slow strike when philosopher László Mátrai turned to me: “just watch, soon the subjective factor, man himself, shall become the biggest objective obstacle”.

 

In 1980, in my lecture at a conference organised by the International Institute for Applied Systems Analysis (IIASA) in the Laxenburg Palace (Austria) I discussed the following problem: why is it that the mathematically exact and complex models of system theory, developed to solve the problems of Lake Balaton’s ecology or the food and energy shortages of our planet cannot be put into practice at all or when they are, they are far from being efficient? (1) I talked about the concealed, absent or incorrect presuppositions, which resulted in the “crisis” of system theory (or the buzzword of the time: operations research). I felt that modern systems models lacked an adequate “concept of man and society” and their failures can be traced back, among other things, to this hiatus. 

 

In his famous book, published in the late 1960’s, renowned Hungarian economist, Ferenc Jánossy, explored the secrets of so-called “economic miracles” and booms, witnessed after wars and crises. (2) He uses the following analogue: if a yacht seems to be gliding fast, but is held back by an invisible underwater rope, this would limit and break its speed. This “invisible rope” is the trend line, the steepness of which is determined by the development of the labour force. The speed of economic progress, therefore, does not depend on the development activity itself, but rather on the diffusion speed of its results. The question is, what are the fundamental principles that determine the diffusion speed of research results (in our case infocommunication devices)? Competition is often mentioned as the main spring of the development process. The pace of the clock, however, does not depend on the strength of this spring. Instead, it is controlled by the balance wheel, a tiny swinging wheel. What is this regulator and how does it work? The diffusion of technical achievements can only maintain a certain pace, which is tolerated by the immense resistance. This is how the controlling role of anti-diffusion resistance works. The regulating force within the pace of development lies in this resistance. According to Jánossy, the aforementioned resistance is the “job structure”. I am inclined to make his statement more general: the resistance depends on the historically and socially defined level of people’s general and professional knowledge, abilities and motivation.  

 

If we wish to describe the diffusion process of infocommunication devices, including all the prerequisites and consequences, we need to review economic and social progress in its entirety. What is more, if we decide to explore the preconditions of new technical discoveries, we need to go back several decades in evolution. Marx rightfully ridiculed those who had said that price is determined by the supply-demand ratio. This ratio can only divert the price of a product from its value, but it can never determine price itself. The same is true for the interaction between developmental centres. These interactions can influence the diffusion of technical devices, but cannot become the general and primary determining factor of diffusion speed. When mountaineers are linked to each other by a rope during climbing, this rope not only holds back those who are too fast and daring, but it also helps weaker climbers, who are lagging behind. Nobody thinks, however, says Jánossy, that it is the rope itself that pulls climbers to the top or determines the speed of the ascent.  

 

This lecture sets out to analyse the driving and resistant forces that determine the diffusion speed of infocommunication discoveries and the scale of their use. The driving force is none other than the possibility of saving abstract human work and the resistance to be overcome arises from the need to change a certain method of activity. Resistance can be described by an objective quantitative measurement, although it cannot be expressed by numbers. We shall find this resistance in “man”, where inertness must be distinguished from resistance itself.

 

Here we reach the point when Lao Tzu’s “soft” and “hard” elements appear in the title of the conference (Infocommunication Techniques and Man). Csaba Pléh writes the following in the special edition of the periodical, Information Society: “The scientific interpretation and use of “soft elements”, known as informational or, in other areas, cognitive change or dominance of information-handling people, puts this causal question to a different prospective.” (3) If I understand it correctly, he thinks that within technical and cultural evolution “technical” development stands for the hard, while changes in “culture” and traditions represent the “soft” element. As far as their interaction is concerned, “soft elements” determine the diffusion speed of “hard elements”. Jánossy’s regulators and resistances can be found in society’s “soft”, human and cultural aspects.

 

The following quote by Manuel Castells, the leading theoretician of Network Society perfectly demonstrates the essence of my examples: “Yet there is an extraordinary gap between our technological  overdevelopment and our social underdevelopment. Our economy, society, and culture are built on interests, values, institutions, and systems of representation that, by and large, limit collective creativity, confiscate the harvest of information technology, and deviate our energy into self-destructive confrontation.” (4)

 

I come to the conclusion from his words that desirable growth, in this case the extensive and effective use of infocommunication devices, is held back by the underdevelopment of society and its people, the “soft” counterpart of the “hard” technical sector. How is this “underdevelopment” manifested? I think the word “underdeveloped” does not describe the state of society (because society is what it is when it functions organically), but refers to the level of our knowledge of society. If this is true, the “knowledge gap” is probably found on the cognitive level. In my opinion there is an extraordinary gap between the levels of our scientific knowledge (about nature) and our knowledge of society (and the human nature). This large discrepancy between our scientific and social knowledge is what I refer to as “knowledge deficit” in the title of my paper.

 

            Various concepts of man emerged during history; the most typical ones are the following: 

Natural (primitive) man.

Man governed by transcendental forces.

Man of self-actualisation, creative man.

Man as a species being.

Man as a zoon politicon, as part of a community.

Ascetic man

Homo oeconomicus (productive, modern man)

Hedonist (consuming, pleasure-seeking) man.

Postmodern man.

We can also choose from other types, such as inner-directed, other-directed (organisational) or autonomic man.

When it comes to man, Socrates focuses on education, Plato on ideas, Descartes on innate notions, Saint Augustine on man’s striving for transcendence, Feuerbach on love and desires, Adam Smith on selfishness and Marx on the importance and omnipotence of social conditions. 

 

We should examine what kind of concept the information and/or knowledge society has of man.

 

It would be fairly obvious to choose the “rational homo oeconomicus”, who is characterised by a complete and logical preference system. This enables him to choose from the available alternatives. Let us assume that he is fully aware of these alternatives and the elaborate calculations for determining the best alternative are not restricted in any way. This probability is not scary or mysterious for him. However, we should have more knowledge about how people decide, determine and choose from the alternatives. One of rational man’s subtypes is the “administrative man”, who, contrary to the economic man, looks for a course of action that is satisfactory, rather than making optimal decisions. The cost of information, required to find the optimal alternative, as well as unpredictable changes drive him to make satisfactory, instead of profit-maximising decisions. This pattern also works on the individual level. 

 

I am inclined to assume that real man is not strictly rational, not a homo oeconomicus, but instead is full of inner conflicts and self-contradiction, often making him act inconsistently. His preferences change, these preferences are sometimes fixed, sometimes not.

 

2. The unity of natural and social sciences

 

After reading and re-reading the works of the most eminent natural scientists my theory of knowledge deficit seems to become increasingly clear. (5) Let me briefly summarise my experiences on the matter.

 

If there is a “knowledge gap” and “knowledge deficit”, it is demonstrated on the level of scientific cognition by the lack of unified science, when knowledge is broken up to isolated fragments. There is no genuine passage between the understanding of nature and society. If we fail to discover continuity between nature and society, it seems we have given up our belief that the world can be explained by a few, systematically developed laws. This theorem has already been proven in the understanding of nature. Nature research (vagy The research of Nature…) has been using objective reality as a starting point since Ionian natural philosophy. Einstein also believed that we have to unify our knowledge, because that is the only way to really understand who we are and why we are here. The human mind has always been searching for links between natural and social sciences. Natural and social phenomena are obviously not identical, but their deeper, common characteristics can be united by “consilience”, as suggested by American scientist, Wilson. (6)

 

Charles Sherrington (1941) compared the brain to an enchanted loom, perpetually reweaving complete miniature universes. (7) World culture, the “collective mind” works the same way. The origin and nature of the “loom”, therefore the entire human condition can be explained by general rules, which apply to genetic evolution and modern culture alike. 

When preparing for today’s lecture, I re-read one of the classics in information technology, János Neumann’s book on the kindred problems of modern digital calculators and the logical structure of the cerebrum. (8) Can you see the resemblance to Wilson’s “consilience”, metaphor and Sherrington’s “loom” analogy?  

 

We should admit at last that mankind’s major problems (ethnic conflicts, armament crisis, overpopulation, abortion, environmental protection, epidemics) could only be solved by integrating natural, social and human sciences. The previously mentioned system models did not work when applied to reality, because apart from the “hard”, exact facts, the social, human, cultural and political “soft” environment was miscalculated. The solidity of the model’s elements was not identical; correctly calculated elements were absorbed in the miscalculated social environment without impacts and consequences. A single sentence by Gyula Illyés got to the heart of the matter better than any complex system model. He says: The question is, who owns Lake Balaton? Complicated mathematical and ecological models lacked interests, values and passions, therefore they failed to work when applied to reality.

 

The dream of Intellectual Unity was the product of French Enlightenment, but this dream has since failed. Enlightenment and modernisation declined because we failed to explore human motivations, behaviours, mentalities, needs, interests and values, and more importantly we are unable to trace them back to and link with our solid and proven knowledge about natural science and technology. It has been demonstrated that nature is a systematic material entity, which is governed by exact laws and can be divided into measurable and hierarchic entities. Society, on the other hand, consists of people, whose brains are made up of neurons, where nerves form brains and individuals form societies, assuming that all this is a system of forces and mechanisms. Condorcet’s 1785 essay makes him the forerunner of modern decision theory. He writes: “The sole foundation for belief in the natural sciences is this idea, that the general laws directing the phenomena of the universe, known or unknown, are necessary and constant. Why should this principle be any less true for the development of the intellectual and moral faculties of man than for the other operations of nature?” (9)

 

Unfortunately, the development of cognition disintegrated in the 19th and 20th centuries. The notion of Order was replaced by the notion of Chaos in people’s minds. Snow’s 1959 lecture on the two cultures actually canonised this situation: our understanding of nature and culture has separated. (10) Since then we reached postmodernism, saying: reality is not perceived, but constructed by the mind. What is it, if not a protest against universal truths?

 

3. From genes to culture

 

Starting from physics towards society, the complexity of systems undoubtedly increases. Among the systems of the Universe that we already know, the most complex ones are the biological systems, especially the human brain. The progress from physical to biological systems is aided by several disciplines: biochemistry, molecular biology, cellular biology, organism-level biology, ecology and evolutionary biology. Fundamental principles, discovered during the study of these disciplines, are expected to accelerate the research of mind, behaviours and ecosystems. We hope to know more about how the brain reacts to stimuli from the organs of sense, how the information is organised into patterns, how these patterns are transformed into words and finally how subjective emotions are generated by the physical processes of the brain?

 

Socio-biology studies genetic heritage and characteristics of humans such as instincts of aggression, self-preservation, altruism, sexual (race-preserving) instinct, kin selection, homosexuality, anatomic and hormonal differences between genders, differences in highly refined intellectual abilities, IQ, level of cerebral lateration, skills of verbalisation and stereoscopic vision, development of anxieties and so on. Studies with babies, healthy and retarded children and people of archaic societies show that the course and organisation of our behaviour are also influenced by inherited dispositions and inclinations.

 

At this point we are still very far from the exact understanding of society. Research is yet to complete the journey from genes to culture. Natural sciences have already established the system of rational explanations, encompassing quantum physics, cerebrology and evolutionary biology, reaching the boundaries of culture. Questions concerning the diffusion and use of infocommunication devices can only be properly answered, if we know more about human behaviour. Behaviour, however, is transferred through culture. Let’s admit, at the moment we have very little understanding of the relation between the genetic history of humans and the cultural history of societies. Today, when I am writing this lecture, I read in the paper that an American scientist of Hungarian origin discovered that endocannabids, marihuana-like substances produced by the brain, play a role in controlling appetite and even craving for alcohol. We, sociologists, so far considered alcoholism as a phenomenon conditioned by society. (11)

 

Wilson claims that there is a co-evolution of genes and culture, where genetic evolution is coupled by a parallel cultural evolution. We could ask: Where is society in this? Culture is the product of the collective mind and individual minds are the products of genetically structured human brains. Genes and culture are linked inseparably, culture being a collective, a social product. Here is an example for this link. It is well known that most people are scared of snakes. In the individuals, this is the product of genetically coded fear and awe, but in culture it produces metaphors, tales and works of art.

 

When can also accept the assumption that not only the structure or functioning of the brain, but also the behaviour of our species develop through partly genetic, partly natural selection in populations. As well as more successful ontogenesis, collective behavioural rules are also used more extensively by certain groups of the population. Our culture is also led on a “genetic leash”. Some cultural norms tend to survive better and penetrate more successfully than their rivals. Cultural evolution runs parallel with genetic evolution, but at a much faster pace. Have we ever thought about why the use of some technical devices (such as cars, televisions, mobile phones, computers, household devices) spreads much faster, almost in the form of epidemic, than others? Which cultural norms stimulate or refuse (see resistance) the acceptance of technology? Let us admit we are trapped. Trapped by not only our genes, but also our culture. Surveys and statistics on the penetration and diffusion of infocommunication devices over the last few years consistently show that Hungary is ranked between 20th and 30th in the various indices, irrespective of what the technical and economic policy favours. When visiting China in the 1980’s I realised that modernisation only started in coastal areas, where commerce and entrepreneurism have always been valued by people, and where this was coupled with behavioural patterns of the puritan ethos of Confucianism. Inner peasant areas, where trade was considered as deceiving others, were unable to adopt the pace of modernisation.

 

Culture is a superorganism. According to anthropologists: “Culture is a product; is historical; includes ideas, patterns, and values; is selective; is learned; is based upon symbols; and is an abstraction from behaviour and objects of behaviour” (12)

 

Today there are ongoing studies that wish to explore the abilities of human brain to create culture and also search for the fundamental units of culture. Neurological studies have created the notion of the node, the complex network of a large number of neurons. Experts think that the elements of culture are hierarchised elements of the semantic memory. Several expressions are used for these: mnemotype, idea, idene, meme, sociogene, culturgen, culture type. The most widely accepted of these is “meme”, introduced by Richard Dawkins in 1976 in his work The Selfish Gene. (13) In 1981 the complete theory of gene/culture coevolution was developed by Wilson and Charles J. Lumsden. (14) In their view the fundamental unit of culture (meme) corresponds to the nodes of the semantic memory and their equivalents in brain activities. The level of the node (notion, statement or scheme) determines the complexity of the thought, behaviour or object that it helps to maintain in the entirety of culture. Obviously, behaviour is not determined or caused by genes or culture, since it is the joint product of heredity and the environment. The science of interaction  uses reaction norm as the key concept, referring to how a gene or group of genes changes its characteristics within its environment. Let me bring an example: Frank Sulloway’s studies seem to prove that human characteristics and behaviour greatly depend on the birth order and the person’s role in family dynamics. Third or laterborns, frustrated by their older siblings tend to be more rebellious. They become deviants, anarchists or revolutionists. (15) The impact of being a laterborn is the reaction norm itself. 

 

It was also found that people not only choose their roles according to their abilities and personalities, but also try to choose an environment where their inherited traits can be used successfully. Therefore, there is a genotype/environment correlation. Another important characteristic of heredity (apart from reaction norm) is flexibility. This promises you to get the best results by trying to develop individuals, instead of groups. All social policies, aimed at changing hereditary traits, are doomed to failure. My stepfather told me in the 1950’s that the reason for communism’s failure would be its inability to change the human nature. 

 

In order to create the unity of biology and social sciences, we must clarify the notions of reaction norm and inheritability, locate genes influencing behaviour and also identify their correlation with the environment. That will give us a fuller picture on the development of the mind and enable us to explain for example how schizophrenia influences culture. We already have the key methods for the genetics of human behaviour, such as twin study, genealogy, genetic mapping and identifying DNA sequences.

 

There are three main levels of biological organisation, from top to bottom: Universalities of culture, 2. Ontogenetic rules of social behaviour, 3. Behavioural genetics.

 

Universalities of culture are all behaviour forms and institutions that can be found in each of the several hundred societies studied so far. Murdock found 67 such universalities from athletics, through the separation of age groups to weaving. (16) Others use dispositions to get to the notion of “predisposed learning” (susceptibility), which is an evolutionary trend. We are predisposed to learn certain types of behaviour and avoid others. (17) The predisposed learning of social behaviour usually helps us to adapt.

 

4. The structure of culture

 

We can conclude that until we stop neglecting the available results of natural sciences and start organising the joint cognitive strategies of natural and social sciences, we shall not have significant achievements in the research of such problems as, for example, what is information society, how do infocommunication devices become more widely used, what effect will they have on society and so on. The success of medical science lies in the fact that it relies on the solid and uniform foundation of molecular and cellular biology. Social scientists, including sociologists, also have an immense amount of factual information and techniques for complicated statistical analyses. However, since they/we reject the principles of hierarchised knowledge, we are hardly able to detect any order from the multitude of opinion polls and info-statistics. Instead we opt for the morale of chaos. These data give us a basic structure of social behaviour, but we fail to come up with the theory itself. We cannot fit what we learn into the physical realities of human biology and psychology. Social scientists are in a paradoxical situation: the familiar subject brings a sense of security, which leads to carelessness and mistakes. Let me give you an example: The anthropological school of Franz Boas hailed cultural relativism with the slogan of “Long live multiculturalism”. (18) If all subcultures were equal, we reject inherited behavioural differences. In that case what makes mankind unified, if not our culture or our common genetic heritage? Would cannibalism, circumcising young girls with rusty razors or chopping off arms and legs be equal to modern nutrition, sexual hygiene or the institutions of modern jurisdiction? How is it possible that biological and cultural anthropologists cannot provide a uniform answer to important questions?

 

Robert Nisbet points out that instead of the logical extension of natural sciences, modern sociology developed from Western spirituality (freedom, social order, progressive changes), where individual minds and social institutions merge. (19) Rationality is turned upside down. Human minds do not produce culture, but arise as their own product. Research strategies focus on society as a whole (a societal system) and neglect its “cells”, “molecules” and “elements”. Descriptive and analytic sociology is obviously science, but without a real theory. And until we have a theory on what “society” is, we cannot answer the question “What is Information Society?”.

 

Redfield detects a dual structure in large civilisations: “large tradition” and “small tradition”. (20) The former can be called as “high (classic, elite, learnt) culture” and the latter as “low”, “folk” or “local” culture. This is a system of relations where small tradition is not an independent local culture, but the unconscious continuity and survival of a local culture within a governing large tradition. Small traditions adopt the achievements of civilisation from large traditions. In Israel, for example, I saw colour televisions in Bedouine tents in 1993 and a street beggar with a portable radio in India in the 70’s and 80’s.

 

We talk about traditions when folk culture and customs remain unchanged, together with the use of great technical achievements. Here we see something “changing” and something “unchanged” in human culture and customs. During the diffusion of every invention we must remember that people like what they are accustomed to. That is why new meanings usually appear in old forms. That’s when they are successful. The first cars, with their high seats, resembled the hansom-cabs, first aeroplanes were similar to bicycles. We also see the opposite when old forms become empty.

 

As you can see, I wish to prove the argument that technical development is culture-dependent. What is important here is not innovation itself, but its penetration, the diffusion of innovation. This is the real social (culture-dependent) problem. The meme concept of Richard Dawkins is related to the “small tradition”, which is none other than the heredity of cultural forms. Obviously, the reason, timing and amount for ordinary people to use IT innovations will depend on what they feel advantageous in their conditions. Information Society can be a “large tradition”, but only if it is translated into “small traditions”. “Small traditions” survive through the transfer of traditions, but in “large traditions” people understand the truth of a certain idea and accept the usefulness of a technical device. For example, does the Ministry of Informatics and Communications know today, how its “judgements”, views and programmes will be followed unconsciously in smaller communities? Ideas are accepted, but customs are kept. (21) To give a current example: the strategy of Information Society is an “idea”, but can it take people’s “customs” into consideration? What do all currently available data on the number of PCs, telephones and so on in the country tell us about “idea” of IT or about people’s “customs”? Are they about “„ideas” or “customs”? Or neither maybe? What do we mean by “interpretation”? Our (we, as the elite, experts, politicians) own “knowledgeable”, “enlightened” interpretation? The “learnt interpretation” of ordinary people? The “unconscious transfer of traditions” in people?

 

One of the key problems in the study of culture is how the thoughts of certain (elite) individuals can spread in wider groups of society. Sperber uses an analogue from epidemiology, comparing thought transfer to the spreading of infectious diseases. (22) Representations are infectious agents. Here we already have two theories to explain the diffusion of innovations. In Dawkins’ theory the adoption of memes is based on “imitation in the wider sense” and according to Sperber, viruses tend to spread consciously and they are the characteristics of large traditions. I think that both diffusion mechanisms can be found in small and large traditions as well. (see: the transfer of fashion, epidemics or technical devices.) We don’t exactly know whether society has its own cultural immune system that resists certain “infections”, such as the diffusion or proper use of infocommunication devices. This is what I call “resistance” after Jánossy.

 

            5. From genes to the use of devices

 

            My suggestion in the present paper is that knowledge deficit, concerning the use and acceptance of infocommunication techniques, should be reduced and possibly eliminated by systematic multidisciplinary research, based on the cooperation of natural, engineering and social sciences. Our relation to technical devices is obviously influenced by our genetic traits, which we bring into our lives as biological beings, but during our evolution our cultural traits also develop, turning us into conscious and civilised social beings. That is why I urge research, aimed at the unity of natural and social sciences, as well as the integration of knowledge in various social sciences and humanities (human ethology, cultural anthropology, individual and social psychology, sociology and so on). In the modern age, the use of infocommunication devices can become the tool of existential survival, and this includes “man’s” biological and social determination.

 

In my view, considering biological evolution from the aspect of infocommunication techniques means that masses of genetically conditioned individual decisions are merged into social patterns. During this filo- and ontogenetic evolution cultural patterns can be influenced by the genetic heritage. Let me give you a few examples:

 

1.      Categories of individual choice, forms and activities of momentary thinking presuppose each other. Needs and potentials of one category influence the strength of the others. The ranking of these categories however, such as sexuality, maintaining social status, games, seems to be genetically fixed.

2.      Certain needs and potentials may cancel each other. Certain situations produce emotions that erase the activities of other categories.

3.      Rational calculations are based on competing rushes of emotions.

4.      Rational deliberation is often altruistic.

5.      Decisions are group-dependent.

6.      Decision-making in every category is determined by evolutionary rules. Certain options are learnt more easily and strongly depend on gender and age. Think about how easily children and young people learn the use of new technical devices, compared with old people. Decisions and behaviours, related to the use of devices, are psychologically and biologically complex, and also condition cultural patterns.

 

Evolutionary biology demonstrates that the following things are important to humans, as adjusted primates: sex, family, work, security, self-expression, entertainment and spiritual fulfilment. Innovation and trade policies could be based on this perception. If new technical devices fulfil these needs, people will need them. The wider use of mobile phones among older people is a tool for increased security, survival of dangerous situations, therefore biological self-preservation.

 

Fortunately, bridges are already being built between isolated areas of reality. There are four of these: cognitive neuroscience, behaviour-genetics, evolutionary biology and environmental science.

 

Answers to such problems, as the break-up of American inner-city families, the influx of provincial population into Mexico City, the resistance of the French middle class against the euro, the reasons for the opposition and distrust towards computers and so on, take into consideration that behaviour is governed by evolutionary rules, which are also governed by emotions. People are influenced by emotions, mentalities, approaches, values, traditions and lifestyles during their social decision-making. It is not by chance that in recent years many Nobel Prizes for Economics have been awarded to scientists, who also focus on factors influencing the human and psychological decisions and choices in economic processes. Gary S. Becker for example received the Nobel Prize in 1992 because he extended economics to human behaviour. (23) People are driven by their basic needs, but also have other motivations. Their decisions are influenced by their own experiences and the diversity of social forces, which are beyond the individual’s control. Economic models therefore must incorporate the values represented by the usefulness of choices for the decision-maker. Becker assumed that people make rational choices. Other economists go even further. They not only consider man as a rational, but also as an irrational being. In that case people’s choices may depend on their childhood experiences, social conditions and cultural impacts. Economic decisions therefore are not purely economic, but highly complex decisions with a psychobiological context. Today we still have the prevailing view that people make rational choices. They choose the option, which is most beneficial for them. This, however, is not a true picture of human thinking. Another Nobel laureate, economist Herbert Simon proved as early as 1957 that people usually don’t choose the optimal solution. (24) It may easily happen that the heuristic principle of Tversky and Kahneman prevails, according to which people make their decisions by the “rule of thumb”. (25)

 

What is certain is that human behaviours related to the information society (in spite of the genetic bases) must be regarded as cultural phenomena. If this is true, we accept that these are living organisms, self-organising systems. At this point we realise that the idea of knowledge society evolves into a classic utopia (fair and equal society, optimistic perspectives, information will belong to everyone, the Western way of life and democracy will prevail, we shall have an open society and so on). Is it possible that globalisation and its associated idea of the Information Society (as a “large tradition”) is the ideology of the currently ruling elite, which will be either resisted by society’s “small traditions” or accepted, but transformed into their own image?

 

6. Man and infocommunication techniques

 

So far I hardly spoke about infocommunication techniques, which “man” becomes associated with. It is time I discussed this relation. Today this can be mainly established by measuring. Let me ask the following questions: aren’t traditional measuring practices in crisis, do we use correct measuring techniques and do we know what we are measuring?

 

What do ICT (Information and Communication Technology) indices measure? Only the degree of supply and the diffusion of devices. The subjective determination of social actions only exists in a mentality where those carrying out the actions acknowledge the reality of society. The weakness of measurement is when we consider collected signals as “data” and in most cases put them into “numbers”. We collect signals in the form of numbers and masses of figures, while we forget about the “meaning” of these signals. The “meaning” of a data (number, signal) is only revealed in its context. A social phenomenon can only be truly understood if we describe, measure and count it from the outside, but also “understand” it from the inside. All our methods to learn about reality have a twofold meaning: “subjective” and “objective”. The “objective meaning” can only be grasped if we develop the “correct sense” for its perception.

 

Public-opinion researchers, probably reacting to political needs, mostly measure the presence and growth of Information Society with how the number and usage intensity of these technical devices rise. They keep collecting traditional, objective data and fail to explore the subjective meaning that people give to their newly owned technical devices. I took the time and analysed the questions in the eEurope+ indicator list, adopted from the European Union. I shall go through the 23 points of the EU’s questionnaire and try to add certain aspects to make it “valid for Hungary” and also add more sociological focus method of questioning. These recommendations will probably be the best response to the topic of this conference, demonstrating my view of the relationship between infocommunication devices and man.

 

1) Question on the ratio of regular Internet users within the population:

The access points (home, work, school, community access, Internet café) aspect is acceptable. Access points marked as „other” should be more detailed, since today this is 2%, including PIAPs and Cyber Cafés. It would be interesting to know what other places are available for Internet use? What about laptops that can be used anywhere and cannot be localised.

Furthermore: apart from “regular” users we should know more about “irregular”, “occasional” Internet users. Why don’t they use this device regularly? Is it because they have no access, not interested, can’t use it or are not prepared for its use?2) We should not only know the ratio of households with Internet access, but also the ratio of usage among family members? Who uses it, what for, what is the meaning of “household”? What do people consider as household? Family, people living together, co-tenants, flatmates?

For frequency of use, instead of such standards as daily, weekly and monthly use, we should see the length of usage. People probably use the Internet more at weekends than weekdays. They use it more at evenings at nights – it’s not very good for their lifestyle, but they are forced to choose it for financial reasons.

 

3) Access charges: those without unlimited access, paying for their own Internet use are forced to limit the time spent on-line. People match their Internet use to their budget. We should ask what subscription fees certain groups would still consider to be worth paying for the Internet?

            The part about the “reason for usage” is very important. We should find out what (types of contents) people generally look for on the net? If they use it for purchases, what do they buy on-line? If they are looking for information, what type of information do they need? If they use it for work, what types of activities do they use it for? For e-mails, what is the purpose of the letters? Work, friendship, contacts?

 

4) The Internet access of researchers and students: we shouldn’t only focus on the speed of services, but also whether these users have easy or difficult access, if they are ready for these applications, what they use them for, whether the contents are (student) specific, how and why researchers use the Internet, whether they are satisfied.

 

5) As far as the number of secure servers is concerned, what do people consider „secure”?

 

6) Those with security problems, what type of problems have they encountered?

 

7-8) In the case of PCs and Internet access per hundred students, we should explore again whether they are satisfied with the access? Is it easy or difficult to go on-line? Do they have enough time for usage? Do they receive enough help for their Internet use? Are they prepared for it? Are they satisfied with the contents they get?

 

9) The same questions can be asked for broadband access.

 

10) Apart from the ratio of teachers who use the Internet regularly, we should also know the following: who are these teachers, how did they gain their computer literacy, are they prepared, what do they use it for, can they access the contents and what do they think about them? How much do they use their PC at home or at school?

 

11) Ratio of workforce with basic IT training: what do we mean by basic training? Where and why was it attained, what is it good for, what suggestions or problems do these people have?

 

12) In the case of postgradual ICT courses, apart from the number of graduates we should also find out where and how they heard about the course, did they need it, what was the course like, are they satisfied with the training, can they use what they learnt, do they think the money and time invested were worth it, what do they think about the quality of training?

 

13) Ratio of distant workers: why do they do it, what does their work involve, are they satisfied with it, is it a substitute for other activities, were they willing or forced to do it, is it profitable, what would they do if they could influence their own affairs, people of what age and qualifications choose to do distant work?

 

14) Ratio of Public Internet Access Points: apart from the ratio we should also explore the following: who uses these access points, how often, what kind of knowledge do they have, what are their interests, are the PCs operated by these users or others, do they get it as a service, is it self-service, what do they think of the costs, what do they save by using PIAPs, what is their motivation for using these access points and not others?

 

15) Ratio of government websites: what is the content of these sites, who uses them and how often, what information do they receive from these sites, what can be arranged, does it make their life easier, are they satisfied, are the pages up-to-date, are they satisfied with the search systems, are people prepared to search or read these sites?

 

16) Ratio of Internet business: what motivations influence Internet business, what types of products are sold, what is the level of interest towards these types of commerce, what do people say about the security, quality, speed and level of services?

 

17) On-line services: the aspects are similar to point 15, but mainly focusing on municipalities and self-government services. Do people use them, what do they use, do these services meet people’s needs, what is missing, are they fast enough, are they technically up-to-date, are they secure? Do people have sufficient access to PCs, knowledge and motivation for the use of electronic services? If not, why?

 

18) Government information services and help provided for filling in forms: what do people use and in what ratio? How do they use it? What needs and suggestions do they have? How much time can they save by these services? If they are not satisfied with these services, what is the problem?

 

19) Ratio of public contracts: I do not have any suggestions, because I am not familiar with this area.

 

20) Ratio of healthcare service providers: we shouldn’t just focus on gathering the figures but we should know what types of services are available electronically. Who uses these electronic services, which ones do they use and why? Which population groups prefer or reject these services? Who is unable to use these services?

 

21) Content types of doctors’ Internet use: which healthcare professionals use it, why, what for and how? Are they prepared to use the Internet, can they use on-line services, can they have access to proper PCs and programmes in time? What is their opinion, what are their problems and suggestions?

 

22) Ratio of EU websites: again, we shouldn’t just focus on gathering the figures, but find out what is the European perspective of various segments and groups of the Hungarian population, do they speak foreign languages, can they use foreign-language search systems, what are their needs and what do they use these sites for?

 

23) Motorways traffic and control systems: we have the supply data, but it would be interesting to know whether people need intelligent transport systems, devices, roads and services? Do they use them, can they afford them, what additional services do they need?

 

On reviewing the EU-list we see that it is Internet-specific. However, we cannot say that Information Society only means the diffusion of Internet use. In order to monitor Information Society, we cannot settle for only observing and discussing IT. It is obvious that we do not have a system of indices (criteria) for measuring and monitoring IT. Ceterum censeo: it is not ICT (infocommunication technologies), but IS (Information Society) that we should monitor.

 

Conclusions

 

Politics (politicians) can afford to ignore such questions. They can carry on believing that traditional methods can gather data on all sorts of phenomena, which are measurable, but irrelevant. However, they can choose to consider the characteristics of the “social matter and energy”, just like natural scientists and engineers do during their research. If we cannot use voluntarism in researching Nature, what is the reason for the irresponsible attitude of politicians that we sometimes see?  They often ignore the immanent nature of the “material” they are working with. In one of my previous research topics I examined the reasons for the failure of political programmes. I believe that these programmes often fail, because they are not aimed to itemise and understand the immanent characteristics of the very thing they try to control (Society). It has been proven many times during history and social development that superficial and incorrect assumptions about society and people will backfire. Throughout crises and failures, Society in the long term always corrects political mistakes and only implements what is there as a potential anyway. Usually no more or less.

 

People (from politicians to citizens) are flooded with information. The next evolutionary step will probably be to learn to match, integrate and synthesise these fragments of information. As a sign of my optimism, let me finally quote David Hilbert on the essence of Enlightenment: “Wir müssen wissen. Wir werden müssen”. (“We must know, we shall know”.)

 

 

References

 

 

1. Farkas, János (1984) Change in Paradigm of the Systems Analysis. In: Rethinking the Process of Operational Research and Systems Analysis. Ed. by Rolfe Tomlinson and Istvan Kiss. Pergamon Press. Oxford-New York-Toronto-Sydney-Paris-Frankfurt. pp. 125-134

2. Jánossy, Ferenc (1975, second expanded edition) A gazdasági fejlődés trendvonaláról [On economic trends]. Magvető Könyvkiadó, Budapest.

3. Pléh, Csaba (2002) Evolúciók és kultúrák [Evolutions and cultures]. In: Információs Társadalom, Vol. II, No. 2, p. 4

4. Castells, Manuel. (1998): The Information Age: Economy, Society and Culture – III. kötet – End of Millenium. Oxford, Blackwell. p. 359

5. Gribbin, John and Mary (2002) Almost Everyone’s Guide to Science. Weidenfeld and Nicolson, London, 1998. Hungarian translation. Akkord Kiadó, Budapest; Feynman, Richard P. (2003) Six Easy Pieces: The Fundamentals of Physics Explained. Penguin Books, England, 1998. Hungarian translation. Park-Akkord Kiadó, Budapest; Feynman, Richard, P. (2002) The Pleasure of Finding Things Out. Hungarian translation. Akkord Kiadó, Budapest; Maddox, John (2000) What Remains to be Discovered. The Free Press (A Division of Simon and Schuster Inc. New York, 1998. Hungarian translation. Vincze Kiadó Kft, Budapest, 2000.

6. Wilson, Edward. O. (2003) Consilience. The Unity of Human Knowledge. Alfred O. Knopf. New-York, 1998. Hungarian translation. Minden egybecseng: Az evolúciós gondolat. Typotex, Budapest.

7. Sherrington, Charles (1941) Man On His Nature, New York: MacMillan, p. 225

8. Neumann János (1964) A számológép és az agy [The computer and the brain]. Gondolat Kiadó, Budapest

9. Condorcet: (1785, 1986, Hungarian translation) An Essay on the Application of Probability Theory to Plurality Decision-Making. Budapest, Gondolat

10. Snow, C. P. (1959) The two Culture and Scientific Revolution. New York: Cambridge University Press

11. Palugyai, István (2004) Az élvezetek közös útja: Beszélgetés Kunos Györggyel, az amerikai alkohológiai intézet igazgatójával [The common way of pleasure. Interview with György Kunos, director of the American Institute of Addictology]. Népszabadság daily. Hétvége (Week-end Section). 31 January

12. Kroeber, A.L. – Kluckhohn, C. K.M. (1952) Culture: a critical review of concepts and definitions. (Papers of the Peabody Museum of American Archeology and Ethnology, Harvard University, v.47, no. 643-4, 656) (Cambridge: MA: The Peabody Museum)

13. Dawkins, Richard (1976) The Selfish Gene, second edition, 1989. Oxford: Oxford University Press. Hungarian translation. Budapest, 1986

14. Wilson, E.O. - Lumsden, C. J. (1983) Genes, Mind and Culture: The Coevolution Process. Cambridge, MA: Harvard University Press

15. Sulloway, Frank (1996) Born to rebel

16. Murdock, George, P.(1945) The Science of Man in the World Crisis. New York: Columbia University Press

17. Seligman, E.P.- Joanne L. Hager,  (ed.) (1972) Biological Boundaries of Learning. New York: Appleton-Century Crofts)

18. Boas, Franz (1976) Népek, nyelvek, kultúrák. Selection from the publications of Franz Boas. Hungarian translation. Budapest

19. Nisbet, Robert (1990) Sociology as an Art Form. New York: Oxford University Press

            20. Redfield, Robert (1956) Peasant Society and Culture. An Anthropological Approach to Civilization. The University of Chicago Press

21. Mund Katalin (2002) A kulturális evolúció újabb elméletei a hagyományok tükrében. [New theories of cultural evolution in the light of traditions]. Információs Társadalom. No. 2, pp. 60-87

22. Sperber, Dan (2001) Explaining Culture. Hungarian translation. Budapest, Osiris Kiadó

23. Becker, S. Gary (1991) A Treatise on the Family. Cambridge: MA: Harvard University Press

24. Simon, A. Herbert (1982) Models of Bounded Rationality. Hungarian translation. Közgazdasági és Jogi Könyvkiadó. Budapest

25. Kahneman, Daniel -Tversky, Amos (1974) Judgement under uncertainity: heuristics and biases. Science: 1124-31