Paul Klee
Friday, April 8, 2011
The Idea of Truth
“Beauty is Truth, Truth Beauty, -That is all
Ye know on earth, and all ye need to know.”
John Keats, Ode on a Grecian Urn
The last two lines of Keats’s poem have been the subject of much erudite analysis, and it is presumptuous for an undistinguished writer to put in his twopenn’orth, but I will anyway. The intention, however, is not to add to an already overburdened debate but to use this example as a cave entrance to the even more labyrinthine consideration of the nature of truth in general.
In relation to the statement, “Beauty is Truth, Truth Beauty,” The critic IA Richards had warned against trying to take poetic statements too seriously. TS Eliot responded: “on re-reading the whole Ode, this line strikes me as a serious blemish on a beautiful poem, and the reason must be either that I fail to understand it, or that it is a statement which is untrue.” It is unlikely that Eliot did not understand the several possible meanings of the line, so we must conclude he did believe it was false. I agree with his judgment, albeit from a strictly logical interpretation of the last two lines of the poem.
As one would expect from a great poet, the multiple assertions in the concluding lines are bound together in a complex construction which does not immediately yield up an unequivocal meaning, either to the casual reader or even to prolonged analysis. Some may consider this to be a poetic virtue, akin to any artistic or mystical mode of thought. However, the resulting ambiguity confounds the kind of clear and unique interpretation demanded by the logical mind.
The two lines can be broken down as follows, at the risk of destroying any beauty or truth they express in their original form:
S1: Truth is Beauty.
S2: Beauty is Truth.
S3:S1 and S2 is all ye know.
S4:S1and S2 is all ye need to know.
Before attempting to interpret each of the four propositions it is worth noting the following points. ‘Truth’ and ‘beauty’ are both abstract nouns that are used as adjectives (attributes) in S1 and S2 as well as nouns. This raises the problem of whether attributes (qualities) can properly have other attributes asserted of them and whether nouns can properly be used as attributes. S1 and S2 appear to be universal statements although they are not explicitly quantified ie “All truth is beautiful” and “All beauty is truthful”. If this were the poet’s intention, then we could logically conclude that beauty is in some sense equivalent to truth and vice versa, a proposition that can be tested by substituting one attribute for another in any and all possible propositions containing these attributes.
Consider the proposition, “Helen of Troy was (a) beauty”, which would become “Helen of Troy was (a) truth”. This provides an immediate contradiction of the equivalence because the second statement is hardly meaningful. We could elaborate and say, “Helen of Troy told the truth” but I am not sure if this was the case. In general, I am inclined to reject the assertion that either abstract or concrete entities are necessarily true because they are beautiful. One reason for this is that beauty is a subjective judgment which does not command universal agreement. What some find beautiful others find uninteresting or even ugly. Truth, however, has a better claim to objectivity whether it is established empirically or as a valid deduction from first principles. Truth, therefore, is not properly comparable with beauty at all.
Mathematicians and scientists might object to this negative judgment by declaring that beauty is a good if not infallible guide to truth. The justification for the scientist is that nature determines what we find beautiful, both internally through the mind and externally through the senses, and that this natural beauty is an expression of the perfect harmony that exists in nature. Clearly, this was the sentiment that Keats expressed in his ode, although the urn was a man-made artifact rather than a natural one. The mathematician has an even stronger claim for using aesthetic criteria as a guide to truth. The declaration that Euclid’s proof of the infinity of primes is beautiful is certainly meaningful, and the generalisation that mathematical intuition depends on the detection of such beauty soon follows from this aesthetic point of view. However, beauty is being used here as a guide to enquiry but not as a final criterion of truth. The subjectivist objection might be that truth and beauty are generated in the human mental system and so are not proper attributes to the real world as a noumenal domain. In this case, there might very well be a strong connection between aesthetic and veridical judgments.
Putting aside the inappropriate comparisons of truth and beauty in S1 and S2, the assertion that knowledge is limited to these two statements is clearly false. Even if beauty cannot be separated from truth, this would not justify ignoring all else that we take for true knowledge of our world. Indeed, if truth and beauty are equivalent then we can drop one of them as redundant. To reject all other knowledge is surely epistemological hubris. Most of the humble facts of daily experience, as well as much of scientific knowledge would be excluded from Keats’s idealistic garden of perfect delight. Of course, he may only have intended to assert what he felt was a special relationship between beauty and truth, rather than to follow up the inherent contradictions of this profession of aesthetic idealism.
The fourth proposition reinforces the third by insisting that no further knowledge is required beyond the equivalence of beauty and truth. This could only make sense in a metaphysical system of which S1, S2 and their equivalence were the axioms, from which all else could be deduced in the perfect world of the poets imagination. From this exalted point of view, the poet seems to have been striving after the kind of ultimate truth that philosophers had long sought after and latterly rejected.
In Keats’s time the vogue for Greek art was still highly influential. That supreme example, the Parthenon, had incorporated the highest geometrical knowledge of classical Greece, and so expressed a formal beauty derived from it. Given that mathematical principles are embodied in nature and strongly influence our ideas of beauty, Keats’s perception of the relationship between beauty and truth assumes a clearer meaning. What we mean by beauty is the expression of mathematical form intuitively observed in nature through the senses. One might have expected the nature loving poet to have observed the perfidious function of natural beauty. All manner of deceits are dressed up in nature’s colourful finery. Butterflies open their wings to display imitation eyes and beautiful sexual displays are widely used generally to lure a mate. Such strategies are clearly inconsistent with displays of truth combined with beauty in nature. Deception therefore has long preceded the emergence of mankind and its ability to develop such abstract categories as truth or beauty. But even without such deceptions, there are the illusions that derive from imperfect perception. The fly with its compound eyes is presented with multiple views of its world, and even humans learn the clever trick of seeing a world transformed from the inverted image that falls on the retina.
Our quotidian experience involves continual judgments, both conscious and unconscious, about the present. Standing upright or walking requires such adjustments which may only enter into consciousness when we stumble, and experience error. In going about our business we make innumerable judgments according to habitual criteria, consciously learned or otherwise, which may turn out to be wrong. Some of these criteria are of a sufficiently high order to qualify as beliefs, although many of them may have been acquired as received knowledge rather than consciously examined and granted the status of truth. So, we live among a welter of beliefs which guide our actions and only occasionally get examined for their veracity.
For higher animals, truth is intimately bound up with memory, and may be marred by its imperfections. Memories of past events can be compared with present situations and accumulated knowledge acquired through memory and concept formation used to make judgments in the present. This process gives rise to the idea of repeated similarities between prior and current events. One overarching truth we observe is that events, though similar, are unique. The clouds we see today may resemble those of yesterday but cannot possibly be identical because of their random structure. Other more permanent forms, such as rocks, trees, and common animals exhibit a stronger degree of resemblance and form the basis for the belief that their identity persists over time, even while they gradually change. This very complex state of affairs is the basis on which we experience and formulate ideas of truth.
The fairly recent discovery of non-linear mathematics has demonstrated that nature mimics infinite forms, as in the case of each unique snowflake, river channels, human bronchi and mountain ranges. The corollary is that limitations are placed on human ability to understand and to adapt to a world of potentially infinite complexity.
One approach to the truth enigma is to ask, what kind of things the attribute ‘true’ can meaningfully apply to. One answer is that it applies to beliefs, but these must at least be encoded in some way, usually in a language, before such judgments can be made. Furthermore, the resulting statements need not be believed at all, or any beliefs in them suspended for purposes of logical or semantic analysis. The essential point is that beliefs can be divided into true and false beliefs, so that the fact of believing something is distinct from the fact that the proposition expressing the belief is true or false. In other words, belief has no effect on whether a state of affairs is true or not, except in those cases where human physical or mental performance is influenced by belief, eg to win a race or pass an examination.
In the Keats example, there was some uneasiness about whether statements like “truth is beauty” are even meaningful, as in Chomsky’s example: “colourless green ideas sleep furiously”, which is grammatically correct but meaningless and contradictory. To judge whether a state of affairs is true or not, it is necessary to encode the situation clearly, unambiguously, grammatically and meaningfully. The expression of ideas in a language exacerbates the problem by transferring the focus of truth judgments to propositions and away from unformulated beliefs or situations that the propositions represent. For example, if we assert “The King of France is bald” several linguistic problems arise: there is no present King of France, we do not know which past king is being referred to or to what degree of hair paucity constitutes baldness. The power of language is very great, and innumerable propositions about a subject may have to be composed before any factual truth criteria can be considered. The simple assertion, “the earth goes round the sun” is readily understood by our educated minds, but some thought would be needed by the non-specialist to demonstrate this scientific ‘fact’ to a disbeliever. Indeed, it was not until 1838 that the astronomer F.W. Bessel was able to measure the parallax of a nearby star to show that the earth was at a different place from the time of the first measurements compared with observations six months later. Einstein, of course, threw doubt on what the term ‘different place’ might mean.
In this astronomical example, the truth was established by making not only accurate observations but also by relying on the validity of trigonometry, whose truths are of quite a different kind from facts established by observation of what we call the real world. Fortunately, the delicate observations did not depend on Einstein’s as yet to be discovered facts about the behaviour of light under strong gravitational fields but would have been affected by the refraction of light through the earth’s atmosphere under different atmospheric conditions. The point here is that establishing a fact in one area of science may depend on believing a host of other facts. If any of these should prove to be untrue, there may be significant ramifications for those experiments or theories which assumed they were true.
From this point of view, our most certain fields of knowledge are a contingent house of cards that must be continually be maintained. Similarly, when we make our casual judgments about our ever day lives, we rely on innumerable beliefs, most of which are received knowledge and many of which we would be incapable of adequately demonstrating as true.
It is often the case that we form opinions, particularly about people, based on their appearance, manner and a few instances of social behaviour. Hypotheses are formed and tested by observations until beliefs about them become firmly established. Such opinions may be influenced by received ideas about how people of their class, colour, creed, occupation, or physiognomy usually behave. In this arena of unavoidable social interaction and judgment, beliefs are founded intuitively rather than through any systematic assemblage of consistent propositions, as would be required in a science. Human behaviour is very complex, a fact which renders difficult the social sciences from psychology to economics. The veracity of statements in these fields of knowledge is commensurately less certain and often characterised by probability rather than certainty.
It should be clear even to the most exalted mind that significant truths are hard to come by and that, consequently, we live in a fog of beliefs that fall short of the highest standards of veracity. To make matters worse, psychology makes clear that the human mind can be unreliable in making even simple judgments about recent or even current events. The conjuror makes use of this deficiency by exploiting the tendency of the mind to fill in the gaps between what actually occurs, i.e. as recorded on a video camera, and what they think happened. It seems that the control of the senses by the mind produces a mixture of fact and predictive fiction as it attempts to assess what is likely to happen on the basis of quickly varying events.
Truth, then, depends on the formulation of memories and beliefs and the comparison of these with some kind of independent criteria. The most obvious comparator in the case of everyday events is the memories and beliefs of independent witnesses, as well data from any recording devices. This raw material of quotidian events produces quite a different class of truths from the important generalisations about the human condition and the physical environment on which humans depend. Classification, abstraction and generalisation form the basis of useful knowledge, which is different from the truths of individual observations and events. The truths of science require the additional assumption that what is true in several cases can be generalised to apply to all similar cases, the basis of induction. The failure of a hypothesis might be due to imperfect observations about a few situations of the required type or it might be due to unexpected or unknown factors. A grander scientific assumption is that identical circumstances (ceteris paribus) must produce the same results, or be due to different or improperly controlled factors not included in the theory. Establishing the truth of such fundamental ideas poses a special problem for epistemology.
The empirical procedures and inductive analyses which form the basis of scientific enquiry, together with informed hypotheses have led to general truths of incalculable benefit to humanity. It is hardly surprising, therefore, that the truths of science have replaced the once ubiquitous religious and philosophical beliefs that sustained earlier societies. The question, what is scientific truth, could be answered by saying that it is the body of knowledge, albeit provisional, that has accumulated as a result of applying legitimate scientific methods to the highest possible standards, and confirming the results by the process of peer review.
This is a very high standard indeed when compared with the way we form common beliefs in our business and private lives. In general then, truth is the body of the best knowledge that humans are capable of producing in the present state of cultural development. Even in the span of a century or so, great changes have occurred in both philosophy of knowledge and the processes of science and technology which have led to what may be classified as truths.
Several philosophical theories of truth have been formulated. The correspondence theory assumes that the truth predicate applies to beliefs, and further supposes that every true belief corresponds to a fact. This assumes that there are such things as true facts and that their veracity can be established. The Pragmatist William James objected that this approach was just a lexical trick that did not discuss the nature of truth at all. The salient point is that the idea of truth enters into both beliefs and what are regarded as facts and it is not clear what is meant in either case by saying that a belief or a fact is true, apart from applying the attribute to a fact and a corresponding belief simultaneously.
In the coherence theory of truth, the objection is that individual statements are incapable of capturing truths about ‘reality’, since states of affairs may be described in different ways from different perspectives and motives. Furthermore, descriptions of events are infected by the meanings inherent in the language used, which imports ready-made concepts into the description of what is supposed to be the factual criteria. Only a wide theoretical context will suffice to judge whether a statement is true or not. This mirrors what we actually do in making casual truth judgments, where comparisons are made with our existing knowledge base to see if any inconsistencies arise from accepting a new idea or supposed fact. William James’s pragmatism supposed that true beliefs were those that we must act upon in order to survive or advance the welfare of humanity, which is a rather partisan notion that fits in well with the American predilection for social Darwinism, as opposed to an impartial and unselfish search for truth for its own sake.
Tarski’s semantic conception of truth applies truth and falsity to sentences, and consequently focuses on their meaning. He pointed out that a statement such as: (It is true that (Socrates was wise)) are meta-lingual statements, where an assertion is made about another statement in what he called an object language. He provided the gnomic example: “snow is white” if and only if ‘snow is white’. One could interpret the first statement to be a belief and the second to be a statement of an empirical fact, which doesn’t seem to advance matters much beyond the rejected theory of correspondence. The objection to this approach is that the so called real world is lost in the process of linguistic and logical formulations. It is worth observing here that pure logic is not at all concerned with empirical meaning and so can provide no guidance whatever on the vexed relationship between an empirical fact and its description as a thought or a belief.
The distinction between truths of the mind, a priori truths, and observed or a posteriori truths is an important one. An early system of a priori truth was Euclid’s geometry, which was based on five axioms and five elements of construction. This proved capable of generating innumerable mutually consistent theorems, including the well-known truth that the angles of any plane triangle add up to two right angles. The truth of many of these theorems is not immediately obvious to the uninformed observer of geometrical figures and provided essential knowledge for ancient architects and surveyors. How wonderful that every triangle inscribed in a semi-circle is a right angled triangle, and that every triangle inscribed inside an arc defined by an arbitrary chord generates triangles with a constant angle. It is this power to generate truths about infinite cases which distinguishes mathematics from empirical science.
The idea that a few basic ideas and rules of logic could generate new knowledge was a powerful one, which dominated philosophy until quite recent times. The false idea was that knowledge of a few fundamental principles in philosophy or science would be sufficient to deduce all possible knowledge. A corollary of this idea is that the resulting totality, realised or not, represented a perfect and consistent body of truths, just like the totality of all possible theorems derived from Euclidean Geometry. An obvious drawback to this epistemological programme is that it could only apply to a priori systems, which would confine the resultant knowledge to logic, mathematics and related disciplines. The unfortunate truth was that there is no obvious connection between empirical truths and the logical means of elaborating facts about the physical world.
This idealistic view persisted until recent times, until empiricism and the rise of science gradually confined it to speculative philosophy. It still remains a philosophical question as to how the observed behaviour of the physical world conforms to Euclidean geometry or to the more advanced systems of mathematics that are so essential to modern science. However, some philosophers of science think this need have no bearing on how science is conducted in pursuit of knowledge. However, what does seem to restrict the progress of scientific theories is the lack of sufficiently powerful mathematical theories used to formulate and describe them. The calculus is an obvious example in relation to mechanics and other areas of physics, as is matrix theory and probability theory in their many applications to science. This indicates the strong dependence of empirical theories on specialised languages.
A peculiarity of axiomatic systems, both logical and mathematical is that different axiom sets can lead to different and sometimes inconsistent theorems. A simple example is that the angles of a triangle drawn on a sphere add up to more than two right angles, and so does not even include the corresponding Euclidean theorem as a special case. The distinction between Newton’s and Einstein’s theories of space and time is another example of differing but true systems. This difficulty extends to formulating logical languages for demonstrating the consistency of mathematical truths. The avoidance of paradoxes had doomed Russell’s and Whitehead’s attempts to provide a reliable logical language as a basis for all mathematics. Kurt Gödel upset the apple cart by proving that it was not possible to construct such a language that was both consistent and complete, so that there would always be, potentially, true but unprovable theorems describable in the system. This put an end to the dream of creating a final system of a priori knowledge, and further undermined the kind of certainty associated with grand systems of universal truth, whether empirical or not.
From one point of view, the pursuit of knowledge requires both the general principle of truth and the philosophical, logical, mathematical and empirical means of establishing the ever changing facts which are generally agreed to be true. Because the body of such knowledge is now so vast, it has become inaccessible to the ordinary citizen, if only because of the cost and deficiency of educational systems and the limits to individual knowledge. One unfortunate result of this divide is that beliefs in the general population fall far short of the knowledge that is available to those with the inclination, means and opportunity to obtain access to them. In other words, general ignorance is a source of discontent and social upheaval, often exploited by unscrupulous politicians for personal power and by corporations who wish to preserve an ignorant and subservient population.
Access to these huge knowledge bases has been greatly increased through the medium of the Internet, but this has also provided access to many bodies of pseudo-knowledge and speculative thought that lies outside the strict borders of academic and professional knowledge. The term truth has been stretched accordingly to accommodate this burgeoning diversity. One particular example of this is the reactionary movement of creationism which seeks to re-establish forms of authoritarian knowledge prevalent in earlier societies. The tension is between restrictions on free thinking beneath the shadow of the now enormous tree of accepted knowledge and allowing a tangle of speculative and redundant thought to thrive in the jungle outside its shadow. Such a wilderness has often nurtured the kind of mavericks who have contributed greatly to scientific and cultural knowledge, so tolerance of a robust unorthodoxy is preferable to an epistemological monoculture. The counter argument that academia already encourages such diversity of thought is less convincing now that corporations finance and control so much of what constitutes advanced education. The corollary is that the truth, whatever it might be, ought not to be controlled by orthodoxy or by whatever dominant philosophy may declare it to be.
We continue to search for truth without knowing exactly what it is or how we ought to go about it. The combined efforts of countless generations have shown that such a search is both valuable and necessary for human welfare, and latterly perhaps, continuance as a species. It seems obvious, if not proven, that adherence to truth in its many forms is our best hope for a satisfactory social life and that weeding out false beliefs, albeit in a kindly way, must be an ongoing project. Notwithstanding that great monuments to truth have been erected, their continual replacement, however costly, ought to continue if civilisation is to remain accessible to a majority of humans. The balance of false beliefs seems to be gaining ground and might easily derail the beneficial presence of true if not final beliefs that assist humanity on its journey into the unknown.
Tony Thomas
April 2011
Friday, October 16, 2009
What is Knowledge?
Like many fundamental questions, 'what is knowledge' is surprisingly difficult to answer in a satisfactory way. This is because it is an important philosophical question that forms the basis of the division of philosophy called epistemology. A dictionary definition yields the following:
Knowledge (n)
1 information and skills acquired through experience or education - the sum of what is known. Philosophy true, justified belief, as opposed to opinion.
2 awareness or familiarity gained by experience.
- PHRASES come to one's knowledge become known to one. to (the best of) my knowledge 1 so far as I know. 2 as I know for certain.
- ORIGIN ME (orig. as v. in the sense 'acknowledge, recognize')
The most basic meaning is of being aware that some thing or situation resembles another one that has been previously experienced and exists as a memory. For example, recognizing a face is a skill that does not require conscious, volitional learning but happens automatically: hence familiarity gained by experience, which is not peculiar to humans but is present in all animals who modify their behaviour in response to pain or pleasure. The usual example given is the pain a child feels before learning to avoid contact with fire. This becomes encoded in language as the proposition, "fire burns" or the more general form, "fire is hot", signifying that fire belongs to a more general category of phenomena which can be harmful or useful to mankind. This introduces the fundamental role of knowledge as not only helpful to the conduct of life but essential for survival. In this sense, both humans and animals are knowing beings.
The first meaning distinguishes between information and skills. The latter may be motor skills, like sawing a piece of wood or playing the violin which involve a different process of repetitive practice from learning, say the multiplication tables, the latter requiring some minimum understanding of numbers and their properties. When Bertrand Russell was a young child he was reduced to tears by his inability to learn the multiplication tables and he records, in his autobiography, that what delighted him most was learning that blue mixed with yellow produced green. Here is what he had to say about learning some basic algebra.
The beginnings of Algebra I found far more difficult, perhaps
as a result of bad teaching. I was made to learn by heart:
"The square of the sum of two numbers is equal to the sum of
their squares increased by twice their product." I had not the
vaguest idea what this meant, and when I could not remember
the words, my tutor threw the book at my head, which did not
stimulate my intellect in any way.
This example of the failure of rote learning by a child of exceptional intelligence shows that the acquisition knowledge is affected by the form in which it is presented to the student. The translation of the symbolic form of the mathematical expression into words, instead of explaining the relationship between the parts of the algebraic expression (a + b)2 = a2 + b2 + 2ab, was the cause of the problem, since Russell had no problem learning his Euclid. For Russell, the linguistic proposition was not knowledge because it was meaningless relative to his understanding. It follows that, for the student, knowledge must be understood and meaningful in relation to existing knowledge. Knowledge, therefore, exists in clusters, not in isolation.
It is clear from the rest of the definition that, for the philosopher, empirical knowledge is always provisional and subject to revision. This has become a basic principal of science but is often ignored in daily life where certainty about common knowledge is usually assumed. Even apriori knowledge may prove inadequate, as non-Euclidean geometry shows. The lesson here is that absolutely true knowledge is always subject to prior assumptions as expressed by the term ceteris paribus. The experimental scientist must restrict his variables by excluding possible but highly improbable factors from the variables. The discoveries of empirically established 'facts' become knowledge, but always subject to the conditions of the theory and experiments within which they are constructed.
Outside the laboratory and the University a great deal of information is taken on trust as factual. The inadequacy of human records and memory becomes clear when they are disputed in the adversarial system of the courts, where arriving at the truth is a tedious process of forensic examination. Such analysis is usually impractical in business or government, where highly educated individuals are trusted to use their skills and experience in making informed judgments about what are true facts and what are doubtful propositions. The idea of facts being beyond reasonable doubt or of high probability has become an essential tool of administrators as well as scientists. The necessity for scepticism about unusual proposals is well understood and undermines the simplistic assumptions that we always deal with true facts rather than those that common sense and experience suggest are probably true. For practical purpose, therefore, one is always dealing with facts that may turn out to be false, albeit with a small probability.
The corollary of all this is that the bulk of what the non-specialist knows is a mish-mash of well established common knowledge, which is probably true, and a great deal of assumptions deduced from this knowledge which might be flawed due to inadequate reasoning. While most intelligent people reason correctly about everyday affairs, when faced with complex circumstances involving a huge number of facts and assumptions, this reasoning proves inadequate, and intuitive judgments are applied instead. While humans are capable of reasoning, it would be wrong to assume that they are predominantly reasonable in their judgments as opposed to intuitive, reactive and emotive.
The distinction between knowledge and assumptions is latent in human affairs, and the incorporation of statements in printed or electronic media raises the status of such information from provisional to established facts.
Editorial or peer review, or the category opinion rather than fact, goes a long way towards ensuring the quality of recorded knowledge, but the vast quantity of such widely available information reduces the overall quality of such knowledge.
Disputes about whether a certain body of knowledge is true are commonplace. Prior to the 18th Century is was unthinkable or at least unwise to challenge religious orthodoxy, whose vast repositories of doctrine went largely unchallenged, except within the upper reaches of the various churches. Theological debate, like today's science, was the preserve of specialists. In our world, specialists abound and represent a process of creating bodies of knowledge that can be widely applied. Fields of doubtful knowledge abound, including psychoanalysis, literary theory, new age regurgitations of Eastern philosophy and many more fields where pseudo-knowledge stakes its claims. This only matters when they affect important government or business decisions, or individual welfare. Familiar examples are the definitions of human personality that underlie the vexed debate over contraception and abortion. This is a case of a conflict between new knowledge or understanding versus old knowledge based on redundant religious beliefs. A more important example is the more complex question of global warming, which turns upon a vast number of facts and theories developed by many different scientific specialists relevant to understanding climate change.
Big questions like 'has peak oil been reached' or 'will average temperatures rise by more than 3% in the next 20 years' do not admit of definite answers, only informed opinion arrived at by scientific or technical experts. The problem of deliberately distorted information about these important questions is evident in the biased reports and lobbying that is currently taking place. It is clear that politics, at all levels, has an impact on what can be accepted as true, just as religion is often the enemy of truth in both past and present. Indoctrination by the mass media on these and many other sensitive issues shows that many facts commonly held to be true are artefacts of propaganda. In other words, orthodox knowledge is manufactured by ruling elites to serve their interests. An examination of what constitutes knowledge must take account of this fact of life.
The import of this is that finding reliable sources of information depends not only on doing enough research but making judgments about these sources based on ones own flawed judgment. When faced with hundreds of thousands of seemingly intelligent people who question, say, Darwin's theory of evolution, it becomes evident that untutored opinions are the norm rather than the exception. Like the esoteric theological doctrines of the past, advanced knowledge of, say, biotechnology lies beyond the competence of the average person. Furthermore, advanced specialist in one discipline lack competence in most others fields of advanced knowledge.
What is knowledge and what is contestable theory is an ongoing problem when viewing human knowledge as a whole, no more so than in the field of economics, where the ever increasing complexity of society casts doubt on theories widely adopted by governments. Knowledge in the social sciences is generally agreed to be less reliable than in the physical sciences, where controlled experiments are possible. Unfortunately, it is in the human sciences that solutions to social problems exist and the need for reliable knowledge can be critical to control by both government and management. The very idea of such controls calls up the philosophy of ethics, which is yet another field of knowledge which can only be established by making arbitrary assumptions or appealing to 'facts' derived from social sciences such as psychology and anthropology.
In today's complex societies, stability increasingly depends on narrow specialist, but also on generalists, usually managers or administrators, who specialise in generality, or comprehending and judging the work of specialists and coordinating it towards the achievement of certain goals. Such generalists have always existed as eminence grises in the corridors of power. The training of administrators in Britain and France, as well as other nations has long been focused on the task of making future mandarins. What kind of special knowledge should they be taught to equip them to deal with the great generalisations appropriate to the government of millions? Beginning with the works of Plato and Aristotle seem somehow inadequate but choosing alternatives is a difficult educational decision in itself. Who will train the Guardians and then protect us from them is an insoluble problem.
From a philosophical point of view, knowledge is the totality of true propositions. Unfortunately this set is potentially infinite and its contents mostly irrelevant to the imperatives of individual or collective purposes. From this point of view, it is the engine of human purposes, rational or not, that create the demand for existing knowledge or for the creation of new knowledge. Knowledge, then, is a mental artefact, discovered or created for human use. The body of pertinent knowledge is what is actually in current use or is being created by science or other disciplines. As pointed out above, a great proportion of this knowledge will be doubtful or false, if only because humans have a preference for the useful or interesting rather than the true.
Understanding what qualifies as knowledge is an example of what Wittgenstein called a language game, where meanings are not separated by sharp boundaries. A final, complete and perfect definition of knowledge for all purpose, therefore, is not to be expected. Far more useful is to address the prior question, why do I want to know what knowledge means and what use will such a definition be to my present purposes. This question is relative to the individual and would produce a commensurately different set of propositions about what knowledge means to them.
Tony Thomas
October 2009
Wednesday, October 14, 2009
Nietzsche's eternal recurrence

Monday, August 3, 2009
What is the Relationship Between Mind and Being?

Thursday, July 30, 2009
Infinite Chess


Extending chess to an infinite domain involves defining the required space and also redefining how the chessmen move within it. The conventional chessboard has 64 squares, which are indexed from a1 at the bottom left hand corner to h8 at the top right. This provides a convenient notation for recording the moves of a game. So, the rows are indexed by the first eight numbers and the files (columns) by the first eight letters, as shown below.
The board can be rendered unlimited simply by allowing the index to include all the finite numbers and all the finite combinations of letters. For example, a square such as g100 or ay39 would be legitimate. In this way the chessmen could move about in an infinite space, without changing the conventional rules by which they move.
A peculiarity of this extended index is that the bottom and left hand boundaries of the board are preserved. On such a board the white chessmen can move forward or to the right without limit but remain constrained to the left and behind. However, it is not clear where the opposing black pieces are to be located or whether they should be symmetrically constrained behind and to the left like the white pieces, which would clearly never do.
One solution is to confine the starting positions of the opposing armies to the dimensions of the standard board but relativise their position in the infinite plane. This can be done by extending the index to include negative values, analogous to the notation of the Cartesian plane. For example, ac42, -ac42,
ac-42 and -ac-42 would be legitimate and distinct locations, where ac represents 26 + 3 = 29 squares.
The extension to an infinite board would affect the powers of the chessmen differently. The queen, rook and bishop could make unlimited moves but the king, knight and pawn would be restricted to a single move, and so would gain limited freedom on the extended board. Their relative powers would be diminished accordingly.
An alternative scheme is to separate the white and black chessmen by an infinite space. The immediate consequence would be that no matter how far the queens, rooks or bishops moved according to their enhanced powers, they could never engage the enemy. To rescue the game from this impasse requires a further extension to the powers of the pieces and the pawns.
The solution is to allow all the chessmen to make infinite moves, from one domain to another, according to strict but familiar rules. These rules are as follows:
Rule 1: A man may either make a short (finite) move or a long (infinite) move but not both.
Rule 2: In making a long move, a man must move from one domain to another in the same manner as required by a short move.
Rule 3: A move from one domain to another preserves the finite position of the man.
The first rule is self-explanatory. The player may either make a move within the domain the man occupies or move the man to another domain, subject to rules 2 and 3.
The meaning and relation of the infinite domains needs to be explained before elaborating on rules 2 and 3. Each domain is a replication of the infinite space defined above. The domains are arranged in a square matrix, which must be sufficiently large to allow long moves as defined in rule 2. For example, a 5 x 5 matrix is necessary to allow the knights access to every domain. Any larger matrix could be adopted but, for aesthetic purposes, an 8 x 8 matrix of domains is ideal.
A system of notation can now be defined to locate the men within both domain (board) and its finite subspace. Each of the 64 infinite boards is indexed from A1 to H8, analogous to the indexing of the conventional chessboard. A double reference of the form XYxy locates an individual square within a domain. For example, the white king is located on the square E1e1 at the start of the game and the black king is on square E8e8.
The initial positions of the 32 men can now be described. The rule for setting up the board is simple. On the conventional board, the white queen sits on square d1: on the infinite board she sits on square D1d1. The trick is to duplicate the local reference in the board reference. The white queen’s pawn conventionally starts on d2, so it occupies D2d2 on the infinite matrix. An infinite bird’s eye view would show the initial set up to be identical to that of the conventional game.
Rules 2 and 3 can now be explained more fully. The white king’s knight begins on square G1g1. The knight is free to make a short move to either G1f3 or G1h3. In addition, the knight can make a short move to G1e2, because all the pawns start off in domain 2. The knight can make initial long moves to F3g1 or H3g1 but not to E2g1, because this square is occupied by the king’s bishop’s pawn.
A notable feature is that all the pieces can make unrestricted finite moves at the opening, because each one is alone in its domain. This allows the players to jump into a new domain from an unlimited number of positions. Like many art forms, it is the constraints rather than absolute freedom that leads to interesting works. No less so in the game of chess. For this reason the proposed game can be modified by restricting each domain to the usual finite 8 x 8 matrix of squares. The result is an extremely complex finite expansion of the traditional game of chess.
The diagram below shows some examples of long moves. A domain set of 3 x 3 boards has been used for compactness of presentation. It can be seen that knight, bishop and rook can reach across domains. The power of a pawn to take diagonally in a long move is also illustrated. The pawns power to move two squares on its first move allows it to make a double long move. The en passant rule is similarly preserved.
Summary
The extension of the game of chess to multiple domains generates a family of games, which may be either finite or infinite. This can be achieved by the addition of the three special rules for long moves and by adding a square or rectangular matrix of boards of one’s choice. The double notation allows the computerisation of the game. The implications for geometry and the theory of infinite number will not be considered here. Suffice to say that the examination of such models should provide useful insights in these areas of enquiry.
Sunday, July 19, 2009
Ich habe meinen Regenschirm vergessen

Thursday, July 16, 2009
The Old Man of the Woods



