Cover Page          New Ways to       Represent Complex      Systems & Processes  Author: Jeffrey G. Long (jefflong@aol.co...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesBenjamin Whorfs thesis of linguistic relativit...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes                                 Galaxies     ...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesUltra-Structure is a general theory regarding ...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes1. The meeting will start at 10 AM.2. y = ax +...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes                              No Smoking ($50 ...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes<-------------------------------- Ruleform ---...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes                              Rules in Raw For...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes    Report er/Case                            ...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesThe Basic Distinction is Form versus Content  ...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes                                 Surface Struc...
Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesCORE/001: Artificial Life*CORE/160: Scientific...
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New ways to represent complex systems and processes

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November 2, 1994: "New Ways to Represent Complex Systems & Processes". Talk presented at a seminar of the George Washington University Notational Engineering Laboratory (NEL).

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New ways to represent complex systems and processes

  1. 1. Cover Page  New Ways to  Represent Complex  Systems & Processes  Author: Jeffrey G. Long (jefflong@aol.com) Date: November 2, 1994 Forum: Talk presented at a seminar of the George Washington University Notational Engineering Laboratory (NEL).  Contents Pages 1‐11: Slides (but no text) for oral presentation   License This work is licensed under the Creative Commons Attribution‐NonCommercial 3.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by‐nc/3.0/ or send a letter to Creative Commons, 444 Castro Street, Suite 900, Mountain View, California, 94041, USA.  Uploaded June 19, 2011 
  2. 2. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesBenjamin Whorfs thesis of linguistic relativity was summarized as follows: "First, that all higher levels of thinking are dependent upon language. Second, that the structure of the language one habitually uses influences the manner in which one understands his environment. The picture of the universe shifts from tongue to tongue."1Broadening this to apply to notational systems in general, we could say: First, that all higher levels of thinking are dependent upon notational systems. Second, that the structure of the notational systems one habitually uses influence the manner in which one understands his environment. The picture of the universe shifts from notational system to notational system.The Notational Hypothesis1-- John B. Carroll (Editor), Language, Thought, & Reality: Selected Writings of Benjamin Lee Whorf.Cambridge MA: The M.I.T. Press, 1956. Page vi Page 1 of 11
  3. 3. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes Galaxies Codes Phonetic Writing Speech GesturesReferential Tiers of Linguistic Notation Page 2 of 11
  4. 4. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesUltra-Structure is a general theory regarding the improved representation of complex rules. It offersa new analytical framework for understanding complex systems and processes. It was originallyderived from the linguist Noam Chomskys work on transformational grammar, although his theoryhas been substantially modified. Ultra-Structure is based upon two key hypotheses:The Ruleform Hypothesis: Complex systems are generated as a byproduct of processes, which canin turn be defined by "competency rules" (i.e. operating rules, strategy rules, and other kinds of rules).After translating a selection of competency rules into a canonical form, the rules can be grouped into asmall number of classes called "ruleforms." While the competency rules of a system may change overtime, the ruleforms will remain constant. All competency rules are executed by relatively few andsimple "animation procedures." A well-designed collection of ruleforms can anticipate all logicallypossible competency rules that might apply to the system, and constitutes the deep structure of thesystem.The CORE Hypothesis: A well-designed collection of ruleforms and animation procedures cansupport the competency rules (operating rules, strategy rule, and other kinds of rules) used by allsystems sharing broad family resemblances, e.g. all corporations, all games, or all legal systems.These Competency Rule Engines, or COREs, consist of <50 ruleforms. The animation procedures foreach engine are relatively simple compared to current applications, requiring less than 100,000 linesof code in a third generation language. The family differences in manifest structures and behaviors arerepresented entirely as differences in their competency rules.Ultra-Structure is a New Notation for Complex Rules Page 3 of 11
  5. 5. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes1. The meeting will start at 10 AM.2. y = ax + b OR3. IF (TOTAL > 1000) THEN TOTAL = TOTAL - (TOTAL * DISCOUNT) END IF4. 5.Rules are Ubiquitous Page 4 of 11
  6. 6. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes No Smoking ($50 Fine)may be re-interpreted as:(1) law-abiding citizens will not smoke(2) outlaw citizens who smoke and are caught and cited may be subject to a$50 fineIt implies:(3) outlaw citizens may smoke if desiredAnd, presumably:(4) patrolmen will seek outlaws and issue citationsAll Rules are Descriptive Page 5 of 11
  7. 7. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes<-------------------------------- Ruleform ------------------------------------><---------- Factors ---------><-------------- Considerations ------------>LOCATION PERSON ACTION PERMIT ALTRESTAURANT ADULT SMOKING NO $50 FINE Rule 1STREET (ANY) SPITTING NO $75 FINE Rule 2HOME ADULT SMOKING YES Rule 3HOME MINOR SMOKING NO $50 FINE Rule 4RESTAURANT MINOR DRINKING NO $200 FINE Rule 5All Rules Can be Put Into a Canonical If/Then Form Page 6 of 11
  8. 8. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes Rules in Raw Form Rules in Canonical Form 1 Factor 2 Factors 3 Factors Agencies Locations RelationshipsIn That Form, They Can Be Further Grouped by Class Page 7 of 11
  9. 9. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes Report er/Case A ssert ors A ssert ors Relat ions Net w ork Cases Relat ionships Net w ork Tim e Periods Tim e Periods Net w ork Cases Concept rons Claim s St at em ent sThe Resulting Deep Structure is a More Efficient Representation(This is the tentative deep structure of scientific arguments) Page 8 of 11
  10. 10. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesThe Basic Distinction is Form versus Content Page 9 of 11
  11. 11. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & Processes Surface StructureManifest behavior = Particulars & structure Softw are (generate) Animation Procedures Records Middle Structure = Rules (content of) Tables Deep Structure = Ruleforms (collected into) Featural Structure Attributes = Universals (grouped into) Notational Structure Character set = AbstractionsA New Analytical Framework for Complexity Page 10 of 11
  12. 12. Jeffrey G. Long [11/2/1994]New Ways to Represent Complex Systems & ProcessesCORE/001: Artificial Life*CORE/160: Scientific Arguments*CORE/340: Laws*CORE/420: LanguageCORE/530: PhysicsCORE/570: BiologyCORE/650: Organizations*CORE/780: Music*CORE/790: Games** - actively underwayGoal: Discover the Deep Structure of a Variety of System Types Page 11 of 11

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