Path: utzoo!utgpu!news-server.csri.toronto.edu!cs.utexas.edu!helios!tamuts!n025fc From: n025fc@tamuts.tamu.edu (Kevin Weller) Newsgroups: comp.ai.philosophy Subject: Re: Emergent properties (was: What AI is exactly) Summary: Good point! Here is a revision of my theory. Message-ID: <8747@helios.TAMU.EDU> Date: 3 Oct 90 05:24:49 GMT References: <3918@se-sd.SanDiego.NCR.COM> <8581@helios.TAMU.EDU> <1990Oct1.212639.24730@maytag.waterloo.edu> Sender: usenet@helios.TAMU.EDU Organization: Texas A&M University Lines: 101 In article <1990Oct1.212639.24730@maytag.waterloo.edu> jfbuss@maytag.waterloo.edu (Jonathan Buss) writes: >A Dickens novel is a collection of words. A Dickens novel being read >by someone, in a social context, with the possibility of discussing it >later, is something else. Why should a whole be explainable as a sum >of some of its parts? No one ever tries to explain computers in terms >of only AND gates. > >Jonathan Buss An excellent point, which really brings home the shortcomings of English when trying to define "system" at relative levels of abstraction. In fact, you have forced me to reconsider my original definition of emergence [ I bet you all thought I was perfect :-) ]. Perhaps we should be thinking of emergence as a practical approach to solving certain problems rather than a metaphysical truth. This pragmatic definition is, I think, what the originators of the term meant for it. The whole purpose of the concept was to try and demystify the collective behavior of highly organized systems in pursuit of a non-dualistic explanation for mind. It was NOT intended to offer some kind of pseudo-scientific support for philosophical dualism at all! It can be used as a razzle-dazzle word, but it is better used as a pragmatic term for collective behavior. Your solution for my problem is a perfect example of the practical value of the emergence idea. You had to resort to a larger system (higher on our scale of abstraction) of book, reader, and social context to explain the book's power to generate interest and discussion. Some books simply don't have nearly as much of this power (relative to some readers and contexts, but this point doesn't really matter for our purpose, as we will see shortly), and some don't have what they do for long while others seem to have it perennially. This power is by no means absolute and universal, but in context it is manifested in some works more than in others. It derives not just from the component words, but also from the way they are assembled into a consistent whole having a meaning to human readers. The way I define it, the sum of the parts is simply the parts unassembled, or possibly assembled in a simple linear system. The extra (more than the sum) comes into the picture with the more complex *structure*, of words, paragraphs, chapters and people for our current example. You may argue that the structure is ultimately the result of organizing properties in the fundamental components, which I was unwilling to say before (for some systems) but now concede as very likely (for *almost* all systems). Here is my change of mind. As far as computers go, you may explain their operation fully in terms of AND gates, OR gates, electromotive force, and so on. This explanation can be complete for its own level of abstraction, but it hardly solves all the problems of computer science! Programmers rarely, if ever, try to describe high-level programs in terms of electropotentials in the computer hardware or magnetic aberrations on a hard disk either, if only because it is impractical to do so. They will usually talk about subroutines, loops, processes, etc. The point here is that a program transcends the means of its expression. The same program can exist as a magnetic pattern on a disk, a pattern of electrical pulses in a computer memory, deposits of ink or graphite on some paper, and patterns of electrochemical impulses in a human brain. The (high level) program can be fully explained in a way completely independent of the hardware it is run on by referring to its functions, or sequence of symbolic operations. The explanation is complete for its own level of abstraction. It can be explained more reductionistically, too, but the more abstract way is usually better (i.e., more useful) in this case. It all depends on what you want to describe. My work routinely requires me to shift focus between lower and higher levels because of the hierarchical relationships of these models. As I understand it, description-levels of the brain are even more tightly bound than we originally thought. The hierarchy is just so vast that it is still useful to consider psychological events as "real" in the same sense that programs are "real" (except on a MUCH higher level of abstraction). I doubt that we will feel the need to dispose of such abstract ideas even if (or when) we fully "explain" how neurons interact to produce sentience and intelligence, just as we should not feel compelled to stop studying biology if (or when) a Grand Unified Theory is put forth by physicists to "explain" everything. I wrote my (possibly) mistaken definition of emergence with good reason, however. Modern physics seems to make no sense unless we consider every particle in the universe as multiple manifestations of a single particle. In other words, it suggests that there is really only one particle in the whole universe! Under this model, all particles are in some way "contained" in all other particles, so that reference to the fundamental parts (particles) of *everything* is meaningless without reference to everything else. The theory here is that total (absolute, not relative) reduction is FUNDAMENTALLY impossible. All explanations are made in relation to their description-levels, including the so-called "explanations" of reductionistic science. So perhaps my original definition is correct in one sense, but as long as we're stuck inside our framework of hierarchies, incapable of explaining anything in an "absolute" all-around way, my newer one might be more pragmatic. The question now must be: are the current "new physics" models correct? Right now the facts DO point that way, but admittedly, this could change (or we wouldn't call it science). We have the scientist's faith in the ultimate reducibility of everything based on the history of science to date. It's not an unfounded faith, yet it is contingent on the direction the facts will take us. -- Kev