- #421
Doctordick
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Anssi, it is certainly possible that you understand what I have presented but I get the strong feeling that your understanding is just a little askew; just enough to lead to bothersome complications. I think one of the problems here is that your expectations are more complex than what I am presenting: i.e., you reading things in there which are not there. This leads to subtle misinterpretations of what I say which may tend to lead you astray. Perhaps a quick and dirty presentation of the central issues would be helpful.
As I said above, the "what is", is "what is" explanation is the only explanation which does not require an epistemological construct. When I defined an explanation as a method of generating your expectations, I had in mind the concept of yielding the probability which would describe your expectations that a particular state was to be expected. Of course, the "what is", is "what is" explanation yields only zero for any state not actually in the basis of that explanation (i.e., what is known or thought to be known). Thus it is that "the method" is, "look at the table of 'what is' which you have to work with. (Again, I am working in the abstract so that the great extent of that table is not an issue.)
I think you understand that the symbols used to refer to the ontological elements of the "what is", is "what is" explanation are immaterial so that I can use numerical reference labels. Since the explanation yields a number (the probability of a specific state) and the specific state is described by a set of numbers, it follows that, from this perspective, any explanation is fundamentally a mathematical function. The "what is", is "what is" table is a representation of that function for those specific instances which are known. Any flaw-free explanation must also yield exactly those points (they represent the information the explanation is to explain).
Thus it is that the only difference between the desired explanation and the "what is", is "what is" explanation is that the desired explanation yields expectations for states not in the known set (i.e., it is capable of making predictions for the future). Thus it is that any explanation constitutes a mathematical function which fits the points established by the "what is", is "what is" explanation and, in addition, yields values for points not in that set. What all scientists are looking for, are the simplest relationships which fulfill that requirement.
This is a point fitting problem: i.e., one is looking for a mathematical function which fits the entire collection of points displayed in that table. As anyone who has studied mathematics understands, there exist an infinite number of algorithms which will fit any finite set of numbers. That is why the issue of "simplest" arises. Now one man's "simple" is often another's "complex" so we should leave the issue open and consider only the consequences of fundamental constraints on the possibilities.
There is also a second issue which must be kept in mind: the (x, tau, t) representation is being designed to represent the "valid ontological elements" we know and, as such, the difference between valid and invalid elements must be kept in mind during the analysis of that design. Note that I earlier commented that we can ignore the existence of invalid elements within the actual data being represented as any acceptable explanation must explain all the data which certainly must include the valid components (we are, after all, looking for a mathematical function which fits "all" the known points).
I might comment that, as the future is fundamentally unknown, "the rest of the elements are known" is the assumption that they either won't be different or the difference is predicted. Another way to see this is to realize that the behavior of the significant element is based on the presumption that the behavior of the associated criteria is correctly understood. All this is just buried in assumptions too voluminous to even discuss. If we are going to be "exact" we need to avoid all these assumptions.
Or, to put it a little simpler, we would like a rule which would give us the appropriate (x, tau) indices as a function of time given that all the other points in that B(t) are known (or unimportant, which is really the same thing). This is essentially what any rule discovered by science tells us about the behavior of things. It is presumed that the rest of the universe is either unimportant or has its impact embedded in the rule: the rules of science talk about the behavior of objects (how specific identified entities behave).
Now, an acceptable scientifically usable explanation has to go a bit further. If it makes no predictions, it is a pretty worthless explanation. What that is essentially saying is that the scientifically usable explanation must yield the probability that a specific "present" ;not in that "what is", is "what is" table of what you think you know; will turn up as an acceptable entry via a change in your past (what you know or what you think you know): i.e., the future.
Fundamentally, this is a point fitting problem and it is well known that there are an infinite number of functions which will fit a finite number of points. Which function you choose to "believe" valid (your epistemological theory) must satisfy two very important constraints: first, it must agree with your knowledge of the past and second, it needs to be simple enough to mentally comprehend. Those two constraints are the cause of the underlying need for compartmentalization. Since this presentation is an abstract analysis of ontological constraints and not concerned with the complexity of epistemological solutions, compartmentalization is not a pertinent factor.
I hope I have not confused any of you further -- Dick
As I said above, the "what is", is "what is" explanation is the only explanation which does not require an epistemological construct. When I defined an explanation as a method of generating your expectations, I had in mind the concept of yielding the probability which would describe your expectations that a particular state was to be expected. Of course, the "what is", is "what is" explanation yields only zero for any state not actually in the basis of that explanation (i.e., what is known or thought to be known). Thus it is that "the method" is, "look at the table of 'what is' which you have to work with. (Again, I am working in the abstract so that the great extent of that table is not an issue.)
I think you understand that the symbols used to refer to the ontological elements of the "what is", is "what is" explanation are immaterial so that I can use numerical reference labels. Since the explanation yields a number (the probability of a specific state) and the specific state is described by a set of numbers, it follows that, from this perspective, any explanation is fundamentally a mathematical function. The "what is", is "what is" table is a representation of that function for those specific instances which are known. Any flaw-free explanation must also yield exactly those points (they represent the information the explanation is to explain).
Thus it is that the only difference between the desired explanation and the "what is", is "what is" explanation is that the desired explanation yields expectations for states not in the known set (i.e., it is capable of making predictions for the future). Thus it is that any explanation constitutes a mathematical function which fits the points established by the "what is", is "what is" explanation and, in addition, yields values for points not in that set. What all scientists are looking for, are the simplest relationships which fulfill that requirement.
This is a point fitting problem: i.e., one is looking for a mathematical function which fits the entire collection of points displayed in that table. As anyone who has studied mathematics understands, there exist an infinite number of algorithms which will fit any finite set of numbers. That is why the issue of "simplest" arises. Now one man's "simple" is often another's "complex" so we should leave the issue open and consider only the consequences of fundamental constraints on the possibilities.
Slightly askew of what I was describing; what this structure is to represent is "what we think we know". Reality has been defined to be "a valid ontology". What we know of reality is only a part of that "valid ontology" (there may exist ontological elements of which we are unaware and they are not in our "data base") and, in addition, you must keep in mind that there exists absolutely no way of determining whether or not a particular ontological element we think we know is valid or not. Thus it is that I find the phrase "to represent reality" to be somewhat misleading. This can easily lead to sloppy thinking and is best avoided.AnssiH said:So first of all I understood we have established that "x, tau, t"-structure so to be able to represent reality.
There is also a second issue which must be kept in mind: the (x, tau, t) representation is being designed to represent the "valid ontological elements" we know and, as such, the difference between valid and invalid elements must be kept in mind during the analysis of that design. Note that I earlier commented that we can ignore the existence of invalid elements within the actual data being represented as any acceptable explanation must explain all the data which certainly must include the valid components (we are, after all, looking for a mathematical function which fits "all" the known points).
Making an attempt to define ontological elements has almost nothing to do with what is being represented here (i.e., with the logic of the representation itself) as defining the ontological elements is essentially no more than setting down a specific set of (x, tau, t) labels for each element. The representation is a set of points in an (x, tau, t) Euclidean space. By my definition of the t index, the collection of points (which I have chosen to represent as B) with identical "t" indices are representations of a specific present. It follows that the representation itself has time (as I have defined it) embedded in the representation. Time is nothing more or less than the t axis.AnssiH said:And had we made an attempt to define ontological elements, we could lay down some "presents" on that table accordingly.
Here I am speaking of the representation itself as an abstract structure; the table (which represents the "what is", is "what is" would, by definition, include all of the information known to us (our entire personal past so to speak). But represented in a totally abstract form.Doctordick said:One's expectation with regard to "known information" are no more than a "true/false" decision on any given present. In the "what is", is "what is" explanation, the method is no more than "look in the table". If a particular B(t) is in the table the answer to your expectations is, "true". If it is not there, the answer is false.
No, the structure is designed to represent "each and every moment we ever experienced". My next comment was to point out that, if we did indeed have the mental capability to actually construct and record that table (as an information base we could consciously consult) the idea of using such a thing might be useful. Don't take that comment as anything more than a mere comment on the circumstance. As I said, that feat is clearly beyond our mental capabilities and it would be much more useful to have some sort of rule which would tell you if a particular B(t) existed in the table. I am doing no more than pointing in a direction which would yield what I would think of as "a useful explanation"; useful in the sense that we would prefer a rule which would not exceed our mental capabilities.AnssiH said:And here we are looking at a method of "seeing what existed in the past" without having all the information about each and every moment we ever experienced? The "result" is simply, whether or not a single ontological element existed in a particular t?
I tried to prepare you for this perspective when I commented on that post where I had asked the question, "How do you tell the difference between an electron and a Volkswagen?". As I said then, you will find my answer a few posts down from there. The correct answer is the labels, "Volkswagen" and "electron", presume a great quantity of information about the rest of the universe is either understood or unimportant. Identification is itself a statement of what will be taken as valid associated acceptable criteria. In other words, we are talking about a single ontological element (or an object, which I earlier defined to be a collection of ontological elements) of the set B(t) where the rest of the elements of B(t) are either unimportant or known.Doctordick said:What we would really like is a procedure (think of it as a fundamental rule) which would accomplish that result for a any single ontological element.
I might comment that, as the future is fundamentally unknown, "the rest of the elements are known" is the assumption that they either won't be different or the difference is predicted. Another way to see this is to realize that the behavior of the significant element is based on the presumption that the behavior of the associated criteria is correctly understood. All this is just buried in assumptions too voluminous to even discuss. If we are going to be "exact" we need to avoid all these assumptions.
In a sense yes; but certainly not clear the way you put it. What I am describing is a rule which would yield the existence of a single specific ontological element in that incomprehensible table. First, remember that we are talking about what we would like "a useful explanation" to provide which means we are talking about a useful epistemological construct (i.e., a specific set of labels have been introduced in that "what is", is "what is" explanation). That means that we would like to have a rule which would yield the (x, tau) indices in our (x, tau, t) representation (those different ontological elements in that representation) which are going to be regarded as the same ontological element in that epistemological construct.AnssiH said:And here we are looking at a method of "seeing what existed in the past" without having all the information about each and every moment we ever experienced? The "result" is simply, whether or not a single ontological element existed in a particular t?
Or, to put it a little simpler, we would like a rule which would give us the appropriate (x, tau) indices as a function of time given that all the other points in that B(t) are known (or unimportant, which is really the same thing). This is essentially what any rule discovered by science tells us about the behavior of things. It is presumed that the rest of the universe is either unimportant or has its impact embedded in the rule: the rules of science talk about the behavior of objects (how specific identified entities behave).
The proposed representation of the "what is", is "what is" explanation is essentially identical to the common Newtonian representation of reality (i.e., a space "x" coordinate and a time "t" coordinate) except that it is neither three dimensional or continuous (Newtonian "time lines" constitute a presumption that these points are the same entity) and no "measure" of any kind has been introduced (neither in the space or time axes). Sort of, "the actual facts we have to explain" are being represented as collections of known points in a (x, tau, t) space.AnssiH said:I have to proceed very carefully here so I can be sure I get the right idea.
If there has been no change, how do you know the "t" index of the referenced ontological element should be different? How do you know you are talking about a different "time"?AnssiH said:Or are you just saying that because we can see what has changed between presents if we have information about what existed at each moment?
In this case, your use of the word "any" worries me. The "what is", is "what is" explanation has been laid out as a table of indices B(t) which describes that set of points in the (x, tau, space) which represents ontologically recognizable cases of what you think you know (the basis of your future epistemological solution). The table provides you with the set of answers to the question, does the specific set of points, B(t) exist in that table? B(t) can be seen as a set of numbers and the answer can be seen as either a one or a zero representing "yes" and "no". Thus, your expectations concerning "what you think you know" can be seen as a mathematical function: i.e., the function yields the probability that a specific "present" (annotated as B(t) ) is a valid entry in that "what is", is "what is" table of what you know.AnssiH said:And so does this function return "1" if the specific set is found in any "present" in the past?
Now, an acceptable scientifically usable explanation has to go a bit further. If it makes no predictions, it is a pretty worthless explanation. What that is essentially saying is that the scientifically usable explanation must yield the probability that a specific "present" ;not in that "what is", is "what is" table of what you think you know; will turn up as an acceptable entry via a change in your past (what you know or what you think you know): i.e., the future.
Fundamentally, this is a point fitting problem and it is well known that there are an infinite number of functions which will fit a finite number of points. Which function you choose to "believe" valid (your epistemological theory) must satisfy two very important constraints: first, it must agree with your knowledge of the past and second, it needs to be simple enough to mentally comprehend. Those two constraints are the cause of the underlying need for compartmentalization. Since this presentation is an abstract analysis of ontological constraints and not concerned with the complexity of epistemological solutions, compartmentalization is not a pertinent factor.
It can't! But you must see that any table (the actual set of ontological events our epistemological solution must explain) is essentially incomplete: i.e., we are not all knowing and the future will bring forth entries for that table which we don't currently have. What we would like to have is a rule which would tell us what those entries should be. Now that "rule" might be wrong but there is one thing we know for sure, any valid rule must yield the entries for the table which we already have: i.e., if our expectations for entries not in the table are to be given by some function, that function must first yield, exactly, the entries representing what we know (or think we know). If it doesn't then it is either the wrong "function" or something we thought we knew was wrong: i.e., the "theoretical epistemological solution represented by that ontology together with that "function" is wrong. The fundamental issue here is normally referred to as "induction" and there is no logical defense of induction other than, "it's something I understand and, gee it seems to work"AnssiH said:What I'm wondering now is; if we first have some kind of partially filled "x, tau, t"-table, how could it contain knowledge about the un-filled parts?
Not the complete table, but rather, our "expectations" for the entries to the table; a subtly different statement. The idea that "there exists a function" which would, forever, yield the complete table, is equivalent to saying that the complete universe is a knowable thing. That there exists a function which yields a complete table (for the known past) at this moment, is a fact; there are, in fact, an infinite number of functions which satisfy that requirement. The problem is that most all of them are far to complex to even consider as usable representations of reality. But that is not my concern as I have no interest in developing an epistemological solution; what I am concerned about are the constraints on the fundamental behavior of ontological elements in any epistemological solution, a very different issue.AnssiH said:I figured you said there exists a function that would yield the complete table, if we just give it... what? Partial table?
I would have said, "some valid ontology". Otherwise, I think your comment is accurate. Perhaps you can talk a little sense into Rade. My major complaint is that standard languages are chock full of vague definitions and these lead to misunderstandings. I am afraid Rade's central purpose is to accent these misunderstandings and that serves no purpose except confusion.nabuco said:I think Doctordick was saying that even things that do not exist can have explanations, therefore not every "epistemological structure" must necessarily refer to some ontology.
I hope I have not confused any of you further -- Dick