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Subject: RE: [humanmarkup-comment] New Book on a New Kind of Science
Thanks, Sylvia. Excellent points! Yes, temporal values are critical and have to be combined with viewpoint. It is also necessary to enable a descriptive system the enables multiple viewpoints which couple to affect the outcomes of higher level strategic goals. Just to complete the example, I want to point out aspects that illustrate some of Sylvia's points on conditions on processes that affect performance such that analysis can in some cases, reveal an effective and simpler response than the complexity of the situation might indicate is possible (in short, a simple answer can often be found but not always): In the example, the pilots of the escort fighters realized that the timing element and processes important to isolating the target were not simple in and of themselves, but a simple solution was found. They 1. Realized the bomber gunners were ineffective. With either ammunition they had difficulty firing on targets moving at that speed and vector (from below and through the formation or directly head on) and tended to fire on their own squadron while trying to hit the jets. The heavier ammunition was slightly more effective (one hit did more damage and as shown below, the jets were sensitive to hits if hit in the right place. One can contrast this with how Huey's reacted to small arms fire), but this was not the sensitivity that proved to be the vulnerability of most tactical use. 2. The effective defense was to have to fighter escorts follow the jet as it tried to land. They carried insufficient fuel and were most vulnerable as they slowed to land. o They had to glide in many cases (weak support) o The fuel used was incredibly incendiary (sensitive if hit) o They were not as well trained as they could have been to exploit the performance characteristics of the aircraft (competence). Note well the coupling of competence and performance. A speech act may have an interpretation from the ontology that is incorrect in context of the performance given the competence of the individual actor. 3. The opposition has insufficient pilots and jet aircraft and could not train or replace them fast enough. So the sensitivity on landing was amplified or reinforced by a higher level logistical sensitivity. Note that there are multiple viewpoints and dimensions of timing in these processes that *couple* and this coupling is all important in choosing the response strategy. One may or may not consider this a loose coupling, but in fact, it is the strength of that coupling to all elements of the process that made the strategy effective *within the time regime* of the application of it. Changed values of some of these elements (more jets earlier in the conflict used as fighter rather than bombers, a task for which they were ill suited) would have changed the outcome. A historical analyst would note that multiple stories are occurring here and that each with its own time, characters, motivations, flaws, etc. are combinatorially contributing to the outcome of the major storyline: the war itself. IDEF modeling techniques and others have been applied to analyses of such events in less dramatic storylines such as enterprise analysis post performance to enhance the corporate learning of the enterprise. The ability to successfully encapsulate the different viewpoints along their own performance timelines and then show where couplings both loose and strong affect the performance and timeline of higher level systems is crucial to integrating this learning back into corporate episodic memory. len -----Original Message----- From: cognite@zianet.com [mailto:cognite@zianet.com] Sent: Tuesday, July 09, 2002 4:13 PM To: humanmarkup-comment@lists.oasis-open.org; Bullard, Claude L (Len) Subject: RE: [humanmarkup-comment] New Book on a New Kind of Science Considering pattern recognition as occuring on a timeline, though, is a step forward. ON PATTERNS WITH TEMPORAL NATURES At 01:31 PM 08-07-2002 -0500, you wrote: >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. ... >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'? While traditionally treated as static things, Patterns in a dynamic system gotta be temporal. So beyond just recognizing a pattern as having occurred at some time(s), there is their having - durational properties, - conditions on their involvement during processes, and - pattern evolution [in context(s)]. As Len says in Rex's forwarded material proposing making a software representation of semiotic function via { signal, sign, symbol} , >cognitive units (you, me, artificial agents) >are units that are themselves part of the processes and made up of >the same stuff as the processes which they observe. ... [parts of the] ... > "situatedness" of our geotemporal world in which distinctive communications are taking place whose HUML properties (whatever those may be!) we intend to characterize with HumanMarkupLanguage -- which we initially assumed would be embedded within copies of the communiques, in the manner of XML . A software app that "solved" [parts of] the semiotics entailed in a communique might be a new wrinkle...very xmlish, though. The "markup" might not be text alone. What will that mean for HumanML? - Perhaps that our definitions allow for term evolution. - That we might have sequences within a term. These sequence things have something of a precedent in HTML's: <tagX>...</tagX> for prefix and suffix (in that order); embeddable <IMG SRC="..." [HEIGHT="..."][WIDTH="..."] [ALT="..."]> for multiple components, some optional <A HREF=......>... </a> for links (which have a "solving" process underneath) <xL>...<LI>... * </xL> for lists (which have a sequence of multiple parts) In dealing with "situatedness", sequences are seen in scenarios (like Schankian MOPs, where you ask or do this before getting that sort of answer) or our sometime-silent but worthy member Jorn Barger's " story-skeleton" which (1) happens to be comprised of pre- ACT post- steps in sequence; (2) and significantly for discourse description, gets us to argument structures. >> person A tries to perform X >> person B insults person A's performance as inadequate >> person A feels bad >> person A looks for ways to improve performance >> etc - Argument structures ...? (Admittedly, an argument type may admit of re-ordered presentations of its parts. For example, Term followed by Definition or viceversa. Particular styles in particular language registers may use one order or another as default.) By the way, will we be dealing with argument structures? Mmmm... that should be: Do we expect to Notate argument structures with HUML? - For instance, will we label red-herrings, or definition-by-example? (discourse logic) - How about "moves" or "tacts" or whatever we call the "story-structures" as effective communication, as above. We had talked about recognizing metaphors and standard parables, which is one sort of definition by example where cultural knowledge is entailed and significant parts (or equivalent examples) might be needed to avoid misunderstanding when the communique is transferred to a different interpretive context. These examples often presuppose certain expectable event sequences: certain temporal patterns of communication exchange. Pattern expectations in these discourse sequences are of course situationally conditioned, by factors including culture, individual, communication media/"channel", .... Where might we attach that information? To "person A"? To "headers" interspersed throughout sequences? ON OPTIMALITY Since we're into reading these days, re the matters Len points to in the paragraphs just below there are some in-depth cases in: Levine, Daniel, ed.,_ Optimality in Biological and Artificial Networks?_ Lawrence Erlbaum Associates, Hillsdale, NJ. 1997. A couple of its chapters are by HumanML folks. The case of language optimization dynamics is probed. > >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'? SC
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