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Subject: RE: [humanmarkup-comment] New Book on a New Kind of Science
Pattern recognition is a key concept. That is why regular expressions get so much mileage for so little when combined with a markup tag inside a structure. Then co-occurrence constraints. But latency and choosing a reliable response are the lock. Learning or adaptive systems are the usual combination when a key is insufficient. Pattern recognition falls apart given superstition. The trick is to identify and react correctly before you are dead. In WWII, the Brits armed aircraft with 30 cal ammunition because they could put more of it in an aircraft (resulting in the Canadian conversion of the lend-lease American bombers) so they could shoot at more targets. Americans used 50 cal because they wanted to down a target with fewer shots. So shoot at more targets with less kill power, or shoot at the same targets and kill more often? What is learned affects what is optimized; what is optimized and works is learned. I think what autopoesis says is that systems evolve to preserve themselves, thus, create systems to nurture the systems that enable them to create systems. The problem is that a thoroughly optimized system is fragile and when the environment shifts unexpectedly, often cannot adapt whereas, a less optimized system may be slow but adaptive given the redundancies it has to spare. Logistics teaches to favor simple systems with redundancy if the conflict is long, and highly optimized systems if the conflict is short. So one can't just identify a pattern. One must identify predictable patterns given where they occur relative to a process (a higher level pattern) to determine precisely when and how to affect the production. In short, where is it 'sensitive'? Given the advent of the early German jet fighters, which ammunition was best for the job? Find the pattern in the process where the least amount of energy or supply does the most work. len -----Original Message----- From: Rex Brooks [mailto:rexb@starbourne.com] In case you don't hear much from me in the next few days, you can blame it on Rob Nixon who told me about a book by Stephen Wolfram, A New Kind of Science. If you have followed my commentary over the years wrt many scientific issues, specifically in the area of epistemology, linguistics, semiotics, and now autopoiesis, not mention complex adaptive systems and stratified complexity, then you know that the one single concept which has time and again cropped up from me has been: pattern recognition... I wanted it and I wasn't getting it. Well, I now have 1280 pages to plough through to see if Wolfram got it. It sure looks like he did. Sorry, but there really isn't anything more important for me to be doing right now, so I'll see y'all when I come up for air. Consider this an apology in advance for some tasks I said I was going to do soon but which I won't be doing until I'm satisfied about this.
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