Purdue UNIVERSITY COLLEGE OF LIBERAL ARTS Department of History Managing the Endowment of Child Entities in Complex Systems THE CASE OF NATIONAL BANKING LEGISLATION, 1781-1846 Peter J. Aschenbrenner Paper delivered at the Sixth Annual Complexity in Business Conference (October 31, 2014, Ronald Reagan Building and International Trade Center) 2./ Acknowledgments • Dr. Jun Xie, Professor, Department of Statistics, Purdue for assistance with programming in R; • Prof. John Larson, Department of History, Purdue for supporting this and related projects with a research appointment at Purdue • Ben Aschenbrenner, Jefferson County Community College, Louisville, KY for assistance with the NetLogo animation of ‘Solver World.’ 3./ Twenty-Nine Constitutional Moments From 1781 through 1846 officials (under Constitutions I and II) wrestled with the problem of creating national banking institutions which would serve the needs of the national government (among other constituencies) This essay will take us from Hamilton’s Bank of North America to Polk’s Independent Treasury System 4./ Twenty-Nine Events Parsed into Ten Discrete Event States TWENTY-NINE EVENTS IN TEN NATIONAL BANKING PROJECTS (OR DISCRETE EVENT STATES) 1781-1846 2 OCL 668 PETER J. ASCHENBRENNER Department of History, Purdue University paschenb@purdue.edu TABLE 668C: NATIONAL BANKING IN 10 DISCRETE EVENT STATES Congress (C), President (P), Or Court (O) Project One – Discrete Event State One Congress passes bill C Project Two – Discrete Event State Two Senate passes bill C House passes bill C Pres signs bill P Project Three – Discrete Event State Three House bill defeated by one vote C Vice-President casts t/b vote against charter renewal in Senate C Project Four – Discrete Event State Four Senate passes bill C House passes bill with amendments C Senate agrees to amendments C Pres vetoes bill P Project Five – Discrete Event State Five House passes bill C Senate passes bill with amendments C House agrees to amendments C Pres signs bill P Project Six – Discrete Event State Six Maryland ct/appeals invalidates bill O USSC upholds bill O Project Seven – Discrete Event State Seven Senate passes recharter bill C House passes recharter bill with amendments C Senate agrees to amendments C Pres vetoes bill P Project Eight – Discrete Event State Eight Senate passes bill C House passes bill C Pres vetoes bill P Project Nine – Discrete Event State Nine House passes bill C Senate passes bill C Pres vetoes bill P Project Ten – Discrete Event State Ten House passes bill (ITS) C Senate passes bill (ITS) C Pres signs bill P Event 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 S/F Date S May 26, 1781 S S S Jan. 20, 1791 Feb. 8, 1791 Feb. 25, 1791 F F Jan. 24, 1811 Feb. 20, 1811 S S S F Dec. 9, 1814 Jan. 7, 1815 Jan. 20, 1815 Jan. 30, 1815 S S S S Mar. 14, 1816 Apr. 3, 1816 Apr. 5, 1816 Apr. 10, 1816 F S June, 1818 Mar. 6, 1819 S S S F June 11, 1832 July 2, 1832 July 3, 1832 July 10, 1832 S S F July 28, 1841 Aug. 6, 1841 Aug. 16, 1841 S S F Aug. 23, 1841 Sept. 3, 1841 Sept. 9, 1841 S S S Apr. 2, 1846 Aug. 1,1846 Aug. 6, 1846 5./ No Time for Bayes Bayes Theorem can be exploited by Parents in Venue when they are deciding whether to even attempt to enact legislation. (As noted, for this purpose, the President is both Parent and Child.) A Bayesian would credit the path of successes and failures (1781 to 1832) as: S/SSS/FF/SSSF/SSSSS/FS/SSSSF with the ‘/’ grouping belief states into seven belief stages for the seven previous intervals 1781/1791/1811/1815/1816/1818-19/1832. Beginning with Hamilton’s Bank of North America (May, 1781) and Washington’s approval of the first federal bank (February, 1791), S’s and F’s may be assigned from the Whig (or Hamiltonian or pro-bank) point of view. As of March, 1841 the seven previous battles supply these scores: First, 3 of 7 attempts at such legislation were successful = .4281 which can be taken as the value of the prior hypothesis for pro-bank forces as the Twenty-Seventh Congress opened. Second, of the 4 stages that ended with an S, 3 started with an S for a score = .75 (the ‘true’ positive). Third, of the 5 stages that commenced with an S, 2 ended with an F for a score = .40 (the ‘false’ positive). Applying the ‘long’ version of Bayes (in its ‘hope’ or ‘optimistic’ format) yields .4281*.75/{[.4281* .75] +[.5719*.4]}=.3211/.3211+.2287=.5840. The legislators’ assessment of their chances must be revised upwards from .42 to .58, a revision driven (mostly) by the relatively low rate of false positives in the (previous) political history of banking legislation. 6./ Bayesians in Congress Guess Their Chances for a Bank Bill Were Better Increase in Likelihood to 1841 = Caucus Guess at Success in Venue 0.7 0.6 0.5 0.4 0.3 0.2 0.1 0 1 2 7./ A Naïve Bayesian Look at Optimistic Assessments by Pro-Bank Congressmen 8./ Getting to Bank. These were the most prominent of ‘child entities’ created from the time the Confederation Congress went to work until the outbreak of the Civil War. This takes us from 1777 to 1861. There was no more controversial government program that went into effect, at least until the fugitive slave laws were amended in 1850. It is fair to say that the origin of political parties, under the first system (Republicans challenging Federalists), may be traced to debates over the first bank bill (1791). 9./ Designing my Animated ‘Solver World’ I found that there were two kinds of ‘turtles.’ The good and the bad. There were no ugly turtles. Was this based on any historically identifiable pattern of events? If it were, then I could track the interaction between the two breeds. 10./ “Proved to be a fruitful source of favoritism and corruption … ” The reaction among old-school Virginians against the Bank reached its peak in 1841 when John Tyler, the first accidental president (post-1804), who vetoed two bank bills in one session of Congress: his first. Tyler offered semantic pedigree in his first veto message (“looking to the powers of this Government to collect, safely keep, and disburse the public revenue”) but then he makes a straight-up QA argument: the last bank, taken as a Child-Agent didn’t perform well enough: “Its power of local discount has in fact proved to be a fruitful source of favoritism and corruption, alike destructive to the public morals and to the general weal.” I have therefore scored this on line 6 of the roadmap. This is a Child-Agent argument buttressing his role as law-maker in which he is also a Parent. I equate “power of local discount” with patternable events. About which, more, later. 11./ What would the Ratio Be? I then considered the ratio between the good and bad turtles. Since the bad turtles ate the good ones, I couldn’t start with more bad than good. I also had to consider the rules of behavior I was going to establish between the two. In the next two slides I used a sports metaphor to help me understand how to vision the conduct of turtles as ‘combatants’ or participants in venue, that is, in ordered discourse. 12./ A Sports Metaphor. A sports metaphor may explain the points I seek to make. Assume players engage in patternable behavior on a field of play. Afterwards they are asked to name features of their behavior. They might respond with the following: (a) There is a beginning, middle and end to each session of play. ‘We know where we are as the clock counts off the remaining minutes of play.’ (b) A score attaches to each session of play. ‘We believe that our behavior is a cause of that score.’ In other words they don’t believe that the outcome is totally random or beyond their ability, individually or collectively, to affect the outcome. (c) ‘We do not know the ultimate score of the session which engages us, but we expect that, on failure of our side to win, we will not be wholly exonerated.’ 13./ Portable Predicates. These three predicates are portable to other fields of human endeavor. • Expectation of determinacy. This variable that will yield information so that the players can know (in idiomatic English) ‘where’ they are in the course of each session. This variable assumes that situations that have determinate outcomes were meant to turn out that way. • Rational hope: This plays off quantifiability, the variable that, when set to 1 or 0, for instance, yields a win or loss, success or failure, at the conclusion of each session. In other words, it is rational for a delegate to hope that behavior on her part, given a successful outcome, will be credited to her efforts. • Rational fear: This plays off casual inference, but to the opposite effect. In other words, it is rational for a delegate to fear that behavior on her part, given an unsuccessful outcome, will be treated as a factor in that unsuccessful outcome. Very loosely the latter two predicates inform offensive and defensive moves. 14./ Asymmetries in the P C Endowment. The Parent has programmed the variable Success/Failure to range through the binary values = 1,0. The Parent expects that it will make a more sophisticated (=qualitative/statistics/maths-based) assessment of the Child’s chances at the time of endowment of the mission • The Parent wants the Child to expect a determinate outcome • Parent to Child: ‘Hope for Success and Fear Failure’ • Child to Child: ‘Where am I? What possible worlds are revealing themselves as I perform the mission?’ This an important asymmetry in their roles and is built into the process of endowing Child-Agents. 15./ The President is an Only Child-Parent The President and Supreme Court both have unusual (and previously unnoted) features. That’s endowed with these predicates. The President is both a law-maker and law-enforcer. As a law-maker she interacts with legislators in both their majoritarians and super-majoritarian flavours. So she is both a parent and child. She has to take into account both the QA (before the law is passed) and the QC (getting reports from his child-agents) after the law is passed. 16./ The Supreme Court is Strictly QC The Supreme Court, as noted above, is not a child body. No body is sending it on a mission, unless you treat the convention as the parent and the constitution as the MSI. (You can do that, but then you have to treat everyone of the 107 federal officials to like effect.) The Supreme Court is strictly QC and is nobody’s child. The President (as a child agent) does his own QA and QC as well as does QA when the laws are being written. This makes a diffuse and entirely remarkable division of labor when Responsibility which looks to the future and Accountability which looks to the past are taken into account. 17./ “Mission specific instructions” help us clarify Relationships requiring QA and QC in differing degrees: • Congress created and funded the Supreme Court, but the Supreme Court is a not a child body with respect to Congress. • Shareholders in the Bank of the United States owe their financial opportunity to make/risk their investment in the bank shares to Congress, but Congress is not their parent. In general, if a Child can fail in a way that the Parent can anticipate, quantify and code then the relationship is one of parent and child and in that case the investigator should look for an instance of Mission Specific Instructions. 18./ Introducing The Problem Solvers And Their Animated Adventures There are the good gals and guys: ‘We never met a Mission we couldn’t tackle.’ Meet their worst enemies, the System Corruptors: ‘Your Accomplishment is what we hate.’ Welcome to Solver World! 19./ The Solvers Feed on the Grass Grass is growing everywhere and is literally underfoot. Imagine a field of challenges, textually represented by evergrowing public need to solve crisis and exploit opportunity in the early American republic The System Corruptors feed on the Problem Solvers. Think of Perpetrators of Bribery or Public Contract Cheats or Sloths 20./ Move, Eat, Grow, Die: The Rules The world grows food, which is problems that the Solvers feed on. Think of this as a field of challenges, 40 squares x 40 squares in dimension, which emulates a chess/checkers board, 25 times enlarged. The Corruptors gain energy from destroying the Solvers; The Solvers gain energy from grazing over the field of challenges; they solve problems that are always springing up underfoot; The Grass = field of challenges is randomly assigned to split between green patches and brown patches. 21./ Corruptors and Solvers are Randomly Placed and Move Accordingly You can see this from the first slide, that is, at Set Up. The Solvers and Corruptors randomly move three spaces at a time. This emulates a world in which, day by day, as a problem solver, that is a construction person, you don’t know if you are living in a space which requires national attention. If your patch doesn’t require any attention or requires only state or local attention it’s non-green = brown. Corruptors and Solvers are randomly placed, irrespective of their respective numbers. Each ‘breed’ moves in a random direction … This is also reflected in the ratio between the two breeds. …. 22./ Predictions Based on 48:13 Ratio 23./ Advances in Writing MSIs before 1800 In the 1700s, Parent Agents (= actors and bodies) refined the technique of writing Mission Specific Instructions and Project Specific Instructions which the Parent would issue to Child Actors and Bodies. Examples of Mission Specific Instructions are: ● Battle plans given by a commander to his theater/field officers. ● Orders given to a leader of a party of exploration. ● Instructions by a client to a lawyer. ● Instructions to a commercial agent in a distant city ● A business case for an operating division or subsidiary Any project specific authorization from a board or committee. 24./ Predictions Based on 48:13 Ratio 25./ A Tree, its Fruit, a Famous Mutiny. The Royal Navy sent Lt. Wm. Bligh on a voyage to Tahiti in 1787 to transport and transplant breadfruit trees to the west Indies as a cheap source of food for enslaved workers. The return voyage to the Caribbean was barely underway when Bligh’s appetite for flogging his sailors – in strict compliance with the letter of the Articles of War – inspired three movies. 26./ Bligh’s Mission: Go Get Breadfruit His Mission Specific Instructions: sail to Tahiti and get breadfruit trees and bring back to the West Indies for transplanting. These MSIs were supplemented – as they always are – by professional, business or vocational know-how in published artifacts. These were The Articles of War, a purely naval code of discipline, stem from this source. These were first written in 1661 in the reign of Charles II. The punishments listed were brutal, but the principle has remained to present times: "For the good of all, and to prevent unrest and confusion." The latest version was amended in 1779, The King's Rules and Admiralty Instructions which made their first appearance in 1731, contain general regulations, including discipline, governing the naval service. The MSIs don’t have to tell a naval officer to follow the Articles of War and the King’s Rules. Plus Bligh had to employ general knowledge, as in ‘be a gentleman’ when you run a ship in the King’s Navy. If it sounds unmanageable read Ann Blair’s Too Much to Know. 27./ The Verdict at the Court of Inquiry • • • • In the 1935 version, the President of the Court of Inquiry which acquitted Bligh refused to shake Bligh’s hand after the verdict. Charles Laughton kept a stiff upper lip. In the 1962 version, the President of the Court of Inquiry lit into Trevor Howard – flogged would be a good way of putting the tongue-lashing. Trevor Howard bit his lip. This is an example of Parent QC. In addition, Bligh was condemned (in the 1962 movie, not by Nordhoff and Hall’s novel, 1932) for not having done his own QA after his nth flogging. 28./ ‘No code can cover all contingencies.’ “By the force of evidentiary conclusions you, Captain William Bligh, stand absolved of military misdeed, yet officers of stainless record and seamen, voluntary all, were moved to mutiny against you. Your methods so far as this court can discern show what we shall cautiously term an excess of zeal. We cannot condemn zeal. We cannot rebuke an officer who has administered discipline according to the Articles of War, but the Articles are fallible as any articles are bound to be. No code can cover all contingencies. We cannot put justice aboard our ships in books. Justice and decency are carried in the heart of the captain or they be not aboard. It is for this reason that the Admiralty has always sought to appoint its officers from the ranks of gentlemen. The Court regrets to note that the appointment of William Bligh was in that respect a failure.” We are in October, 1790 and back in London, 18 months after the mutiny in April, 1789. 29./ No Help for the Child Agent at a Distance in the 1700s. Mission Specific Instructions and Project Specific Instructions Are Goal-Oriented. Mission Specific Instructions Omit Many Details of Procedures and Means = Assets to Fufill the Parent’s Goal/s. Automating the crafting of better Mission Specific Instructions was a landmark accomplishment of system dynamics; the system designers and managers embraced ambitious goals but lacked the ability to communicate updated information to agents and transport reinforcements at a distance to agents once endowed. Better Get it Right the First Time, Sailor. 30./ Parent Agents and Child Agents Paired in the Nascent Government. • • • • Congress and the President. The President and members of her cabinet The Secretary of War and his general officers Any public official and her subordinate official The Child encounters the future present on behalf of the Parent The Child is endowed to take this risk of failure on itself The Parent arms the Child with all and only the information needed This is supposed to be the MSI and professional/business/vocational know-how; this is paired know-how that is know-how paired with MSI But the Child always must resort to general knowledge to supplement these two resources. ‘Be wise, be just, be a gentleman, don’t deny the mission,’ are implied. On a rare occasion the Child Agent can force the Parent’s hand. More, later. 31./ Kinetic Assessment Generally MSIs inform the Child what the Parent expects And also supply code to the Child so she can perform the method assigned to her – this is, quintessentially, a QA function requiring good coding. a bank of the United States shall be established … the capital stock whereof shall not exceed ten millions of dollars, divided into twenty-five thousand shares, each share being four hundred dollars; and that subscriptions, towards constituting the said stock, shall, on the first Monday of April next, be opened at the city of Philadelphia, under the superintendence of three persons as shall be appointed for that purpose by the President of the United States and subscriptions shall continue open, until the whole of the said stock shall have been subscribed. Colour Code: The Switch is Coded Red Variables in the Switch are Blue The Loop is Coded Green 32./ MSIs = Endowments in Words. Mission specific instructions assume that there is a body of professional, entrepreneurial or vocational know-how that the Child will refer to, in revolving issues that arise in the course of the mission. A good example of stand-alone know-how in ancient print culture: Vitruvius On Architecture (= architect of Augustan Rome) is 93,614 words (En) See also: Aristotle’s Politics (Bk III offers advice to public officials) is 67,723 (Gr) The Royal Navy’s Articles of War (1749 ed.) runs 8,000 words Gen. John Armstrong’s Hints to Young Generals (1812) is 12,982 words Wm. Blackstone’s Commentaries (1765) are 676,000 words Jos. Story’s Commentaries (1833) are 575,000 words In contrast: The MSI establishing the first Bank of the United States runs 3350 words. This is the first highly contested MSI issued by the U.S. Congress 33./ 107 Federal Offices Created/Contemplated By Delegates INITIAL FEDERAL OFFICES CREATED / CONTEMPLATED BY THE PHILADELPHIA CONSTITUTION 2 OCL 168 PETER J. ASCHENBRENNER Department of History, Purdue University paschenb@purdue.edu TABLE 168A TITLES AND OFFICES SURVEYED Office Senator Representative President Vice President Judges of the Supreme Court Cabinet Ministers: Secretary of State, Secretary of War, Secretary of the Treasury, Attorney General Ambassadors: Ministers Plenipotentiary to Den Hague, to Paris, to London Chargé d'Affaires to Madrid Total TABLE 168C INTERACTION AMONG ACTORS/BODIES FOR MODELLING Actor/Body President Vice President House M Total I’s 12 8 10 Most I’s With 7 House M 4 Sen M 10 Sen M Count 26 65 1 1 6 4 4 107 Fewest I’s With No I’s With Supreme Court [Chief Justice] Null Hse M, Sen sM Hse sM, Supreme Court Hse sM, Sen sM, Supreme Court null Hse sM, Sen sM, Senate M 11 7 Pres, House M VP Supreme Court V P, House M, Sen M, House sM 5 4 Pres Sen sM Supreme Court Senate sM 5 4 Pres V P, Supreme Court House M, Senate M Supreme Court 3 2 Hse M, Sen M President V P, Hse sM, Sen sM Grand Total 54 Intersections for ‘n take k’ = ‘7 take 2’ and ‘7 take 3’ cumulated 34./ Introducing Kinetic Assessment. When the parent assigns a task to a child, she can take the opportunity to assess, that is, to quantify its chances for success or simply to verbalize her opinion of its likelihood of success. Obviously this is before the child sets out on its mission. When the child is about to complete the mission, he can assess the likelihood of success. Although we do not think of the 1700s as an interval in which risk management relied on quantified assessments, in fact there was a lot more statistical and mathematical sophistication at work than scholars have supposed. This is important for you to know because this discovery is what led me into the research I am going to present which involves automation of the process of manufacturing MSIs. Sophistication in writing code Sophistication in automating the process of writing code 35./ Automating Text in Venue: Americans understood this better than anyone else How to automate the crafting of chartered text, day by day, hour by hour, in a constitutional assembly. This became a very American way of manufacturing a proclaimed charter from the 1770s forward. The techniques in this exploitation of parliamentary procedure were put to the test from 1775 forward: Through 1786 fifteen different state charters had been crafted with 81,893 words With a total of words appearing once (duplicates discarded) at 3,894 words This compares favorably with the word counts in the Articles of Confederation (Constitution I) which total 3,453 words employing 775 unique words Constitution II rings up 4,321 words with 831 unique words 36./ Americans Thought It Was Obvious The causal link was obvious to Americans but not to everyone else: Better statutes were / would be written by governments operating under better charters, that is, proclaimed charters. Everyone else (who mattered) thought public need was better served when governments had unlimited borrowing, taxing and spending powers. Were Americans right that their codelaw was written better? Not just written faster or with concentrated accountability. But just plain better? 37./ A Roadmap: Our First Look Who’s Whose Judging? Performance? QA? QC? In Venue? Mission Start? Parent Parent QA NA Parent Child QA Parent Parent QC NA Parent Child QC Sometimes Yes Child Child QA NA Yes Child Child QC NA Yes Yes NA 38./ Oak is Oak is Oak ● Compare this statute: Congress funds acquisition of live oak preserves in 1799 [Act of February 25, 1799; 1 Stat. 622; “proper measures to be taken to have [timber] preserved for the future use of the navy”] ● With this one: Parliament creates forest preserves (1808) [48 George III, c. 72; “Measures for insuring a more adequate Supply of Timber … for the Use of the Navy.”] QTA of 25K words from 1801 show that public need scores more or less the same on either side of the Atlantic. A proclaimed charter doesn’t explain the marginal difference. 39./ Better Code Writing Peaked at 1750. Isn’t this just Java? o Declared variables o Ranging values for your variable o Writing switches o Loops which run code for as long as you have ordered o Subroutines nested in switches Page-turning Ruffhead may convince you or not. Even the howlers are modern. Here’s a ‘come on man!’ from 1846 40./ “This stupid way of using provisos renders it hard to tell if this is a general enactment.” 41./ Kinetic Assessment Will Have its Day in Court It’s going to happen sooner or later. The Parent can check her coding for • Compile error • Program error • Syntax error This is the best she can do for QA. (And keep her fingers crossed for Runtime error = The Parent can’t do QC until the voyage is over.) • QA = Quality Assurance. How much Quality do you want to design into the mission; more precisely, design into the process of endowing the mission. • QC = Quality Control. What went right? Wrong? And why? 42./ What if Someone QC’d an Act of Congress? Or a Naval Officer’s Mission? Congress is a parent; A Lieutenant in the Royal Navy is a child-agent. So the Lt. gets a court of inquiry for his QC; Congress gets an editor of a volume of public statutes; The effect is the same. After the mission, you get criticized for how you handled yourself. 43./ The Roadmap Says We’re on Line 4 Who’s Whose Judging? Performance? QA? QC? In Venue? Mission Start? Parent Parent QA NA Parent Child QA Parent Parent QC NA Parent Child QC Sometimes Yes Child Child QA NA Yes Child Child QC NA Yes Yes NA 44./ Randomizing Delegate Behavior for August 24, September 5,6 In my model of delegate behavior at the federal convention, I obliged the model to randomize the assignment of values in the variable StrongWeak and ran the model one thousand times; this simulated alternative preferences attracting delegate support in each of the twenty-five venues. In only two runs were p-values returned at values significantly lower than the p-value .007535 which the model returned for the preferences reported. Runs 506 and 712 scored p-values of .0004273 and .0007002 respectively which put the outcomes, conditional on the validity of the null hypothesis, into the critical region at the .95% level of confidence. 45./ A Switch/Loop to Run 1000 Alternate Federal Conventions/Art II, Sec. 1, Cl. 1-3 46./ The One Thousandth Iteration of an Alternative Outcome at Philadelphia 47./ See Hot Pink Handout. Here is a table from Our Constitutional Logic, my on-line library of research tables and articles. It shows how the Rutledge and Brearly committee reports were literally fed into the convention’s 25 venues, which thereby processed the assumptions in each possible outcome; automation required robust procedural rules and any two delegates to propose a preference for the consideration of their fellow delegates. The handout – replicated on the next two slides – is the exact equivalent of the visualization I have given you in NetLogo. One in real time; one which permits real time assessment and allows consumption of the entire process by which Article II, Section1 was crafted. 48./ Twenty –Five Votes from 2 OCL 750 49./ Handout from 2 OCL 750, p. 2 50./ The more complex the system … … the more we have to go back to the human perspective. And the human perspective, I think, is very, very robust, which is that human beings handle complex environments best when they can visualize where they are in a rest period, in a visualization interval, after automation. So you automate and then represent for the purpose of people being able to assess what has just happened in the automation. I call this look/graph/math or math/graph/look. We have automation so we can stop automating, or stop responding to the automation, look at a visualization, and assess the visualization. That’s our sort of on-the-journey kinetic assessment. As a child we’ve all been given missions, even if we gave the mission to us ourselves. We all are on missions and we want to know how can we assess how we’re doing. We visualize, We can automate the process by which We give ourselves the opportunity to assess what world we’re in. 51./ Automate and Visualize Whether you are writing MSIs in code (as the 1700s or 2000s understand the language) semi-regimented language (like public statutes then and now) or natural language You will benefit from visualization of the QA moment (= the kinetic assessment) while writing the endowed MSI for the Child-Agent. Whenever you are fulfilling MSIs from the 1700s to the 2000s You will benefit from visualization of the QA moment (= the kinetic assessment) while fulfilling the endowed MSI for the Parent-Agent.