Proliferation of Knowledge A Global Perspective A KEYNOTE LECTURE Presented at the Intersymp’98 The 10th International Conference on Systems Research, Informatics, and Cybernetics August 17-21, 1998 Baden-Baden, Germany. by Winfried K. Rudloff Governors State University, USA Published in “Advances in Socio-Cybernetics and Human Development”, Volume VII, pp. 17-23, 1999 Ed. George E. Lasker, IIAS Publication, Windsor. Proliferation of Knowledge A Global Perspective by Winfried K. Rudloff Governors State University Prologue By definition, data is the raw material that we collect in pursuit of our business, in support of our professions, as proof of our existence in a bureaucratic society. Data by itself is meaningless. However, when it is interpreted in a meaningful way, it becomes information that helps us to understand the performance of business, the relationships within our societies; the problems that are subject to scientific inquiry. Knowledge is “Information that men and machines can think about”; that broadens our horizons in an evermore complex environment; that leads us from the dark ages into the age of human enlightenment. Knowledge is an attribute of intelligence; it is the essence of survival. Knowledge is relative and is always in context with our current perception of the world. Based on profound knowledge is know-how that applies it to problem solving; the problems of everyday living and the more esoteric problems of our complex world and beyond. The acquisition of knowledge and know-how is dependent on our ability to communicate and learn through interaction with our physical and social environment. Knowledge and know-how are the dynamics that drive the intellectual evolution of mankind. Beyond knowledge is wisdom that arises from a profound understanding of the world. We are in the middle of the knowledge revolution, where new technologies have given us the tools for instant communication around the world. In this lecture, we will develop ideas on how the rapid knowledge proliferation that is taking place can, perhaps, help us to understand better the intricate mechanisms that govern global interactions. We will attempt to show that the Internet can contribute to a more peaceful global society where diversity of cultures could be accepted as assets of a global community and not as incentives to global wars. We generally speak of technology transfer but overlook that such transfer can frequently lead to social unrest since cultural values are profoundly affected. In contrast, knowledge transfer in coordination with transfer of new technologies may, perhaps, lead to a better understanding of diversity of cultures that are borne out of different traditional backgrounds and could guide humanity to more tolerance towards other cultures. Memory: The Storage of Knowledge Memory is the imprint of the past; the storage bin of knowledge. Without memory there would be no knowledge of what was, no perception of what is, no extrapolation of what will be in the future. Memory is all over the universe. We find it in the annual rings of our trees that provide us with information of past climates; in the rock formations of our planets that tells the story of their genesis; in the petrifaction of life forms long extinct. Memory of human action is found in the hieroglyphs of ancient Egypt (Figure 1) and their pyramids, in the pictographs of the Chinese, the inscriptions on Mayan temples. There is memory in rust. In rust? Indeed, the ferro-magnetic domains of iron or similar metallic oxides in our recording tapes carry the memory of our songs and our thoughts; on our computer disks these oxides provide us with the capacity to store our data and the programs that manipulate and interpret them. We extrapolate knowledge from the electromagnetic waves that carry the memory of galaxies billions of light years away. Memory seems to be "burnt" into the genes of all living species which determine a priori the Figure 1: Hieroglyphics. (Ref. Compton’s Encyclopedia ) colors of our eyes, the features of our faces, and the characters of our selves. Without our memory, we would not have the perception of this instance in time. Memory in the human brain is still not completely understood. We can extrapolate to some degree what effect memory has on our behavior and our being, but we can only speculate about the physical structure and dynamics of it. We can visualize our brain as a complex structure with different levels of intelligence where memory is interacting with our envi-ronment (Figure 2). At the lowest level, our senses are the receptors of signals from the environment. A sensory analysis takes place and the signals are coordinated with some goal selection where internal states (or memory) have an active part in the process. At this level, inFigure 2. The Brain Model and Memory (Adapted from Kent, 1981) stinctive motion is activated and corresponding signals are sent to the muscles, perhaps, in response to immediate danger. At a higher level, synthesis and integration leads to abstraction of ideas in words and mental images. Finally, at the highest level of intelligence, there is extrapolation into space and into time. We can speculate that memory is, perhaps, some dynamic switching mechanism as we find it in the random access memory of the computers (W. K. Rudloff, 1995). Perhaps, memory is a static imprint of abstracted signals that we experience in the ferromagnetic domains of a recording tape. In recent time, we have begun to understand more and more that the chemistry of our brain controls our intellectual behavior and our learning capacity and memory is profoundly affected by it. The analogy of human memory with the random access memory of a computer is quite appropriate, since both the random access memory of a computer as well as the human memory disappears as the machine is turned off or as the brain dies or becomes diseased. Also, the experience of amnesia or dementia indicates that memory loss means often that access to our memory is blocked or damaged or, in computers, that the table of contents is wiped out: The contents of memory are still there, yet hidden and inaccessible. Thus, memory as well as access to it, both, are essential to recall. Without memory, there would be no knowledge, without knowledge, no knowhow. A knowledge-based system then evolves from simple data processing to information storage to knowledge which is defined as "information that men or machines can think about.” Thus, intelligence is a product of memory that is capable of storing vast amounts of knowledge which is continuously modified through interaction with our environment, and that of our know-how as it is rooted in stored knowledge, to perform our tasks. Communication: The Pathways to Knowledge Knowledge without means of communication would be non-existent. At the dawn of humankind, communication was through sound and gestures. The capacity of our voice to modulate sound waves provided us with the tools for intelligent communication. The memories of what had been, was passed on from generation to generation by “word of mouth” as is reflected in our sagas and mythologies, and modified in this process or soon forgotten. When language was abstracted into written symbols, communication spanned the millenia and human memory became more permanent; as permanent as papyri or stone inscriptions lasted in an hostile environment. The origin of printing in China in the 2nd Century AD and the invention of the printing press with movable print characters by Johannes Gutenberg in Germany (around 1450) allowed multiple copies of books, specifically the bible, and other writings thus leading to proliferation and democratization of knowledge. The electronic age of recent decades has completely changed how humans communicate. There was first the telephone, the Morse code, and the quartz radio that could span our communication over long distances in real time. Telephone, television, and radio in combination with satellite technology has now made it possible to instantly communicate around the globe and beyond our galaxy where signals are riding on the waves of the electromagnetic spectrum. It is, however, the Internet that has totally revolutionized our ways of dealing with each other. It has become the vehicle of learning beyond the confines of our classrooms, of instant contact with other cultures, of home-bound commerce and shopping. Knowledge, through the medium of the Internet is literally at our fingertips; it is no longer the exclusive domain of the elite; it is completely democratized. While in the past knowledge was organized in volumes and volumes of an expensive encyclopedia, it is now compressed in its totality on the 5 ½ inch compact disks and is instantly accessible through links and hyperlinks of the electronic medium. Belief, Hypothesis, Theory, and Knowledge At the beginning of knowledge there is belief; the belief in what we call the truth; the truth as it is reflected in our perception of the world. A belief is the assumption of how it should be, not necessarily how it is in reality. But then, what is reality anyway? Perhaps, reality is the reflection of the world in our minds as it interacts with the model of that world that we have formed in our memory. Belief is generally connected to the concept of abstractions. Thus, God is an abstraction as is the atom; the first one a religious idea, the latter one derived from scientific experiment and mathematical derivation. In Science, we begin with a belief of what could be; we call it hypothesis, an a priori assumption that has to be proven right or wrong. Mathematics then expands on the hypothesis and a theory is evolving that is to formalize its validity. We collect data to verify our assumptions. When the data is interpreted within the framework of our premises, it becomes information. Finally, a truth is derived as it becomes part of our knowledge. The truth, however, is relative since knowledge by its very nature is always relative; relative to our current understanding of the world. It changes like a chameleon depending on the background of current beliefs. Knowledge is dynamic and is expandable, modifiable, or replaceable by more recent knowledge. An attribute of knowledge is, by assumption, that it is objective. This is, of course an illusion since it is often editorialized and thus changed to subjective opinion. History is seen mostly within the framework of current doctrine. Even in democratic societies is historic information tainted by the writers. Knowledge Representation Representation of knowledge is reflected in our daily interactions with each other. It is abstracted in our speech, our written statements, and in our intellectual behavior. Knowledge is represented in the diversity and richness of human language; the spoken and the written. Unfortunately, there are more than 3000 languages on earth not counting numerous dialects. It is beyond our brain’s capacity to learn them all in a single lifetime. Thus, by default or mutual agreement, we have learned a unifying language that covers the globe. Although the idealists are still around who learned Esperanto, a mixture of many languages and are desperately clinging to it, the de facto global language has become English with large pockets of French and Spanish still surviving from colonial days. By their sheer numbers, most people speak, however, Chinese. During the cold war it was said, “if an optimist, you learn Russian; if you are a pessimist, you learn Chinese”, thus, reflecting our anxiety towards potential modern imperialism. Today, we may add to this phrase, “if you are a realist, you study English” on account of its proliferation in technology and commerce. Knowledge representation is the focal purpose of research in Artificial Intelligence. Essentially, procedures are developed that can intelligently manipulate data structures (G. L. Simons, 1984). Simons defines two broad categories of knowledge; to know that is a statement of factual matters; to know how relates to procedures and plans for action. These two categories are connected: Facts can be used to facilitate knowledgeable behavior. The type of knowledge depends on the subject domain and the required behavior, e.g.: • • Knowledge of objects (to know that..), where facts about objects are stored knowledge of actions and events (knowing that..), where actions or events are stored • • knowledge about performance (knowing how to..), where skills and expertise are stored meta-knowledge (knowledge about what one knows-limitations of knowledge) A rule-base expert system is divided into a general-reasoning program (rule interpreter) and a file of judgmental rules derived from an expert (rule base or knowledge base) The rule interpreter loads the rule base into an internal representation and uses the rule base to guide an interactive consultation with the user Representation of know-ledge can be considered a combi-nation of data structures and inter-pretive procedures which can enable a program to exhibit 'knowledgeable' behavior. Structures such as frames and Associative or Semantic networks are used to visualize knowledge as it is associated to related knowledge (Figure 3). An AI system may be required to think about its knowledge. It should be able to reason from acquired (given) facts to derive new knowledge. There are different types of reasoning (G. L. Simons, 1984): • • • • • • formal reasoning (e.g. in mathematical logic) involves manipulation of data structures complying with the rules of inference procedural reasoning such as applying a procedural model of arithmetic to solve an arithmetic problem reasoning by analogy implies the use of established (stored) knowledge to arrive at conclusions about new information reasoning by generalization involves generation of broad facts of particular circumstances common-sense reasoning uses common-sense (whatever that means) to derive conclusions from heuristic knowledge (to handle 'fuzzy' information) meta-level reasoning where knowledge is used about what one knows: one knows that one knows and what one knows (staking out the boundaries) The Fuzziness in Language and the Proliferation of Knowledge Language is the carrier of knowledge. Language by its very nature is often imprecise and fuzzy. Such fuzziness seems to be a consequence of the statistical behavior of our neurons and neural networks where connection weights determine if a neuron fires or not. The same words can have different meaning in different contexts. Also, the meaning of words is often distorted or even completely switched around. For example, the German word Weib in its origin was an honorable attribute as the English equivalent wife is still today. However, its meaning has become somewhat derogatory in recent decades. The fuzziness in our language can lead to misunderstandings, to quarrels, and even to wars. Such fuzziness is reflected in political discourse that frequently distorts facts (“the truth”) for purposes of manipulation; manipulation of the electorate, of nations and the global populus. For eons humans have distorted religious knowledge for power and for glory. This has been well documented in a recent 5-volume book by Deschner (K. H Deschner, 1997). Orwell in his famous novel, 1984, has long ago recognized that those who govern us are manipulating language for their own goals and gains. Our politicians speak of “political correctness” and mean that theirs is the only “truth”. What was the War Department is now called the Department of Defense. War is now a Police Action. It is not surprising that there is proliferation of knowledge that consists of truth, half-truth and outright lies. Epilogue: From Knowledge and Know-how to Wisdom As the proverb goes: Knowledge is power how wrongly conceived, knowledge is little, know-how is king. But wisdom is godly and possessed only by a few. Unfortunately, in our information or better misinformation age, truth in knowledge is often distorted for the purpose of political expedience. The abbreviated sound bytes of our news services are but a vague abstraction of true knowledge. Through our instant communication technology, information - right or wrong - becomes the playball of the mighty and the powerful. Wisdom is born from knowledge that transcends the ordinary. There were the old sages of the antique, Socrates, Plato, Euclid, Buddha, Zoroaster, and Jesus who brought wisdom to humanity. In our times there was Albert Einstein whose deep insight into matter and energy has changed our view of the microscopic as well as the macroscopic world. And there is Steven Hawking whose ideas have profoundly influenced our understanding of the cosmos. In recent years, technology transfer has rapidly catapulted many developing nations into modern times. Such transfer has permitted global expansion of commerce where multinational companies are exploiting the ignorance of other people for vast material gains. They are nations beyond nations. Yet it is the transfer of knowledge of human interaction that is lagging behind. We see it in the phenomenon of terrorism where our motives of sharing such technology are misunderstood (or maybe not?). Our political and diplomatic representatives often lack the appreciation of other cultures and vice versa. We see the face of the ugly American rising again. The Internet has the potential to proliferate knowledge as never before if only correct knowledge were promoted. Unfortunately, we have to resign ourselves to the fact that we are all too human and the good comes always with the bad. Here again arise the two faces of Janus (W. K. Rudloff, 1997). Acknowledgement This project was sponsored by a generous travel grant from GSU's Alumni Association under the Directorship of Ms. Rosemarie Hulett. We also appreciate the support that we always receive from Dr. Edwin Cehelnik, Chairman of the Science Division, Dean Roger Oden, and the Provost's office. References Deschner, K. H., “Kriminalgeschichte des Christentums”, Rowohlt Taschenbuch Verlag, Hamburg/Germany, 1997 Kent, E. W., "The Brains of Men and Machines", Byte/McGraw Hill, Peterborough, NH, 1981 Molas, E. & Rudloff, W., “Conceptual Learning with Neural Networks in the Evolution of a Multilingual Knowledge Base ", in Advances in Database and Expert Systems, IIAS publication, p102-109, 1995. Rudloff, W., “The Two Faces of Janus: Where is High-Technology Leading Human Society?”, in “Advances in Socio-Cybernetics and Human Development”, 1997, Ed. George E. Lasker, IIAS Publication, Windsor. Rudloff, W., “Intelligence and Intelligent Machines: A Virtual Reality?”, in Technology of Education, Vol. III, pp.2-5, 5/1995, Nitra/SK. Rudloff, W. & Eric Molas, “Implementation of a Multi-Lingual Universal Knowledge Base”, invited Plenary Lecture presented at the InterSymp ‘95 in Baden-Baden, Germany, August 1995. Rudloff, W. & E. Siebert, "A Proposition for a Binary-Coded Universal Knowledge Base: A Holistic Approach to Natural Language Processing", in Advances in Cognitive Engineering and Knowledge-Based Systems, pp 156-162, 1994, Ed. George E. Lasker, IIAS Publication, Windsor. Simons, G. L., “Introducing Artificial Intelligence”, NCC Publications, Manchester, 1984
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