LOGIC, PRAXEOLOGY AND SCIENCE: DEPENDENCY AND DEMARCATION. REFORMING LIBERTARIANISM BY INCORPORATING SCIENTIFIC ARGUMENT RATHER THAN RELYING ON THE PURELY RATIONAL [T]hose three terms, Logic, Praxeology, and Science describe a spectrum. But what is the point of demarcation between each? Which of these domains is capable of testing which category of problems, and what constraints does any domain place upon the others, given that each is open to error, and requires the other to test its hypotheses. I’ve been working on this problem now for quite some time, and have almost got my arms around how to talk about it praxeologically: as observable human action: and therefore a test of possibility, rational choice and incentives. WHY DOES THIS MATTER I have, I think, reformed the concepts of property and morality, but I can’t reform the system of thought that we call libertarian political theory without reforming the distinction between logic (unobservable, internally testable), praxeology (observable and subjectively testable), and science (unobservable, and objectively & externally testable.) That work may have been done somewhere but I haven’t found it yet. And I have a very hard time slogging my way through metaphysical assumptions and highly loaded vocabulary of both logicians on one end and rationalists on the other. Current libertarian (Rothbardian) ethics rely upon very weak rational arguments. I’ve tried to systematically falsify each of them – there are only a handful really. And I think I have been successful. Current progressive (Rawlsian) ethics rely upon very weak rational arguments. I think that I can falsify that argument without much difficulty. Veil of ignorance being a logical fallacy so to speak. Conservatives don’t have an argument, so I have to explain their implied argument in libertarian terminology. [W]hat I find most interesting, from our perspective, as libertarians, is that we acknowledge that the common law is an organic process, and it functions because it must be digestible and applicable by ordinary people in juries. We understand that the english built an empirical society, not a rational one. And that the French took the british concept of liberty and made it into a rational one. Then the germans have tried, and continue to, make it a spiritual one. In other words, Rothbard’s arguments, and one of hoppe’s (his only weak one) rely on rationalism rather than empiricism. And while praxeology may be a test, and while reason may be a test, the purpose of empirical analysis is to extend our senses, and reduce what we cannot sense to analogies that we can perceive by proxy. Now, prior generations had to suffer with the limited tool of Rational argument, because they didn’t have data, and the socialistic system of central control produces data on short periodicity, and can justify itself with that data. While the libertarian and conservative argument is that the externalities produced outweigh the short term benefits. But we have to WAIT for our data, and therefore socialistic arguments gather momentum in and civic behavior alters while we wait. Thankfully we have data now. Our rational arguments were correct. The conservative arguments look like they are correct too. The only progressive argument we are unsure about at present is whether or not fiat money itself can function in a positive fashion, under some as yet undefined circumstance. (We argue that it can’t, out of hand, on rational grounds, but I’m not sure we can prove that there aren’t holes in our reason sufficient to undermine our position.) We are lucky. Time has passed. We’ve learned more than our preceding generations had available to learn. And as such we can debate and restate libertarian theory using scientific rather than rational arguments. And that is what I’m trying to do.
In the context that I think you mean, creativity refers to the application of one pattern of relations to a different circumstance thereby solving a previouslly unsolved problem, and a problem whose solution is not already present in the domain of solutions expressed by the program code. This set of associations is what produces ‘aha’ moments in humans: when ‘clouds’ of related ideas are connected.
In this sense, I think the consensus is, that there is no reason we can’t build computers that can do this. The problem is currently size, expense, and the structure of symbols’memories’ that we put into computers. So, like interstellar flight, we are really just trying to find an affordable way to do it. We CAN send someone to mars, or something to another star. It’s just absurdly expensive compared to what we THINK we can do with some innovation. So we’re waiting until its cheaper.
I don’t have a lot of time right now to be thorough and the information is available elsewhere. But the simple version is, that if you have a biological organism and start with basic stimuli (a subset of light, sound, vibration, touch, time and memory) that the structure of the physical universe, evolution and experience form a fairly accurate but simplified set of categories in our memories and therefore minds. We build a set of symbols (patterns) from seemingly disparate stimuli, the same way we ‘see movement’ in the static figures of a flip-book.
Computers we use today do not start with this atomic level of representation, they start with symbols. And we are just beginning to understand how to symbolically represent physical reality in commensurable terms, and any computational system requires commensurable terms. Humans have senses, instincts and preferences which largely form our commensurable terms; all language being an allegory to experience, and all systems of measurement producing allegories to experience.
For example, money renders all things commensurable by price. But without prices and money you couldn’t form a division of labor – a market. and we’d still be hunter gatherers or small family farmers. Likewise we can’t quite yet design software that symbolically represents reality. (ALthough this project has been underway for more than a century in philosophy, its largely been fruitless.)
Since language (the written word) is an allegory to experience, that language should (in theory) represent symbols that are commensurable (subject to comparison and evaluation) even if only on ordinal (ordered), not cardinal (numbered) grounds – because humans operate ordinally not cardinally.
The closest we have to that body of symbolic information that is broad enough in scope to represent enough of the physical world that the errors produced by sybmolic assocation are Turing-testable, is the Google search index. (And google is fully aware of that).
But the computational power to use that data given that its index is not commensurable with other domains, (we think) is approximately equal to the total computing power present on the planet today. And even then, we suppose the mechanical process ‘thinking’ would be very slow.
(I worked with a group of very bright people on the possibility of raising venture money for solving this problem, given that we are pretty sure how to a) create the programming tool set, b) use existing hardware technology, and c) represent the data in sets of mathematical manifolds, but it is far too early and far too costly to produce this scope of work. And to the venture community it is indistinguishable from snake oil. So I’m not unfamiliar with the problem set, or the possible technical solutions. And I was willing to put my own money in. So I”m pretty confident.)
Most solutions today are attempts to model the human brain with digital systems. The general idea is that it’s cheaper to do this with existing hardware than it is with to build dedicated hardware for the purpose. And even with that technique, most recent estimates I’ve seen are in the billion dollar range.
But it’s not that it’s not possible for computers to be ‘creative’. Its that the minimum threshold for ‘creative association’ is a higher than the intelligence of a domestic dog, and we are still programming in symbols, not patterns, because those symbols incorporate our existing knowledge. And we’re doing that, it looks like, because it’s metaphorically the equivalent of a trip to the stars, and no one is ready to pay for that yet.
I think that in this short space, that’s the most accurate statement we can render. It is a matter of money, not logical possibility either by the symbolic route, or the neural route, or the dedicated hardware neural route.
Cheers
Curt
https://www.quora.com/Can-computers-write-creative-programs-that-solve-problems