Sheila Damodaran Global, National & Regional Strategy Development | Leadership Capacity, Systemic Research & Longitudinal Thinking Through The Fifth Discipline
[Another one where I have great sympathy with the author and intent, but don’t agree with the piece overall – however, lots of juicy debate!]
Abdul Aziz Strategy & Performance through Empathy, Architecture and Analytics
February 14, 2026 I recently developed a “Systems & Complexity Lifecycle” framework as a teaching device, treating systems theory, complexity science, chaos theory, and catastrophe theory as temporal stages in how entities evolve from stability through transformation.
The framework maps four stages:
Stage 1 – Systems: Stability and homeostasis (Bertalanffy’s General Systems Theory) Stage 2 – Complexity: Emergence of higher-order properties (Holland’s Hidden Order) Stage 3 – Chaos: Sensitivity to initial conditions (Gleick’s Chaos) Stage 4 – Catastrophe: Discontinuous transformation (Thom’s catastrophe theory)
Global, National & Regional Strategy Development | Leadership Capacity, Systemic Research & Longitudinal Thinking Through The Fifth Discipline
February 15, 2026
Peter Senge: The Fifth Discipline at Thirty-Five — Lineage, Surge, and Scale
Sheila Damodaran Global, National & Regional Strategy Development | Leadership Capacity, Systemic Research & Longitudinal Thinking Through The Fifth Discipline
Free 90 Minute AI Modeling Tools Workshop – Create diagrams such as the one below, completely documented, along with an Aha! Paradox, and emotional story embracing the relationships, usually in 10 min or less. The Workshop will be at 11 am Eastern Time (New York) on Feb 19th, and I’ll send out the Zoom link info 1 day and 1 hour before the workshop. Just reply to this post, and I’ll put you on the list.
In the previous post we computed what is variously described as the difference map, the difference proposition, or the local proposition of the proposition at the point where and
In the universe of discourse the four propositions can be taken to indicate the so‑called “cells” or smallest distinguished regions of the universe, otherwise indicated by their coordinates as the “points” respectively. In that regard the four propositions are called singular propositions because they serve to single out the minimal regions of the universe of discourse.
Thus we can write so long as we know the frame of reference in force.
In the example the value of the difference proposition at each of the four points may be computed in graphical fashion as shown below.
The easy way to visualize the values of the above graphical expressions is just to notice the following graphical equations.
Adding the arrows to the venn diagram gives us the picture of a differential vector field.
The Figure shows the points of the extended universe indicated by the difference map namely, the following six points or singular propositions.
The information borne by should be clear enough from a survey of these six points — they tell you what you have to do from each point of in order to change the value borne by that is, the move you have to make in order to reach a point where the value of the proposition is different from what it is where you started.
We have been studying the action of the difference operator on propositions of the form as illustrated by the example which is known in logic as the conjunction of and The resulting difference map is a (first order) differential proposition, that is, a proposition of the form
The augmented venn diagram shows how the models or satisfying interpretations of distribute over the extended universe of discourse Abstracting from that picture, the difference map can be represented in the form of a digraph or directed graph, one whose points are labeled with the elements of and whose arrows are labeled with the elements of as shown in the following Figure.
Any proposition worth its salt can be analyzed from many different points of view, any one of which has the potential to reveal previously unsuspected aspects of the proposition’s meaning. We will encounter more and more such alternative readings as we go.
Let’s run through the initial example again, keeping an eye on the meanings of the formulas which develop along the way. We begin with a proposition or a boolean function whose venn diagram and cactus graph are shown below.
A function like has an abstract type and a concrete type. The abstract type is what we invoke when we write things like or The concrete type takes into account the qualitative dimensions or “units” of the case, which can be explained as follows.
Let be the set of values
Let be the set of values
Then interpret the usual propositions about as functions of the concrete type
We are going to consider various operators on these functions. An operator is a function which takes one function into another function
The first couple of operators we need are logical analogues of two which play a founding role in the classical finite difference calculus, namely, the following.
The difference operator written here as
The enlargement operator, written here as
These days, is more often called the shift operator.
In order to describe the universe in which these operators operate, it is necessary to enlarge the original universe of discourse. Starting from the initial space its (first order) differential extension is constructed according to the following specifications.
where:
The interpretations of these new symbols can be diverse, but the easiest option for now is just to say means “change ” and means “change ”.
Drawing a venn diagram for the differential extension requires four logical dimensions, but it is possible to project a suggestion of what the differential features and are about on the 2‑dimensional base space by drawing arrows crossing the boundaries of the basic circles in the venn diagram for reading an arrow as if it crosses the boundary between and in either direction and reading an arrow as if it crosses the boundary between and in either direction, as indicated in the following figure.
Propositions are formed on differential variables, or any combination of ordinary logical variables and differential logical variables, in the same ways propositions are formed on ordinary logical variables alone. For example, the proposition says the same thing as in other words, there is no change in without a change in
Given the proposition over the space the (first order) enlargement of is the proposition over the differential extension defined by the following formula.
In the example the enlargement is computed as follows.
Given the proposition over the (first order) difference of is the proposition over defined by the formula or, written out in full:
In the example the difference is computed as follows.
This brings us by the road meticulous to the point we reached at the end of the previous post. There we evaluated the above proposition, the first order difference of conjunction at a single location in the universe of discourse, namely, at the point picked out by the singular proposition in terms of coordinates, at the place where and That evaluation is written in the form or and we arrived at the locally applicable law which may be stated and illustrated as follows.
The venn diagram shows the analysis of the inclusive disjunction into the following exclusive disjunction.
The differential proposition may be read as saying “change or change or both”. And this can be recognized as just what you need to do if you happen to find yourself in the center cell and require a complete and detailed description of ways to escape it.
At Systems Thinking Systems Practice, 24-26 March 2026, University of Hull, we will again run Skills Training Workshops.
These workshops were a huge success at SysPrac25, with many of them oversubscribed.
They will take the form of interactive workshops, which will further develop your skills or introduce you to new approaches you may not have encountered before.
To vote visit https://docs.google.com/forms/d/e/1FAIpQLSfsLoKstfeA5BwI8pK5kAb25abdUAhLeKe2s51Xp4Gmxw_FAg/viewform before 20 February 2026!
The conference: https://stream.syscoi.com/2026/01/25/2026-conference-systems-thinking-and-systems-practice-hosted-by-the-university-of-hull-centre-for-systems-studies-css-systems-and-complexity-in-organisation-scio-and-the-or-society-24-26-march/
An efficient calculus for the realm of logic represented by boolean functions and elementary propositions makes it feasible to compute the finite differences and the differentials of those functions and propositions.
For example, consider a proposition of the form graphed as two letters attached to a root node, as shown below.
Written as a string, this is just the concatenation .
The proposition may be taken as a boolean function having the abstract type where is read in such a way that means and means
Imagine yourself standing in a fixed cell of the corresponding venn diagram, say, the cell where the proposition is true, as shown in the following Figure.
Now ask yourself: What is the value of the proposition at a distance of and from the cell where you are standing?
Don’t think about it — just compute:
The cactus formula and its corresponding graph arise by replacing with and with in the boolean product or logical conjunction and writing the result in the two dialects of cactus syntax. This follows because the boolean sum is equivalent to the logical operation of exclusive disjunction, which parses to a cactus graph of the following form.
Next question: What is the difference between the value of the proposition over there, at a distance of and from where you are standing, and the value of the proposition where you are, all expressed in the form of a general formula, of course? The answer takes the following form.
There is one thing I ought to mention at this point: Computed over plus and minus are identical operations. This will make the relation between the differential and the integral parts of the appropriate calculus slightly stranger than usual, but we will get into that later.
Last question, for now: What is the value of this expression from your current standpoint, that is, evaluated at the point where is true? Well, replacing with and with in the cactus graph amounts to erasing the labels and as shown below.
And this is equivalent to the following graph.
We have just met with the fact that the differential of the and is the or of the differentials.
It will be necessary to develop a more refined analysis of that statement directly, but that is roughly the nub of it.
If the form of the above statement reminds you of De Morgan’s rule, it is no accident, as differentiation and negation turn out to be closely related operations. Indeed, one can find discussion of logical difference calculus in the personal correspondence between Boole and De Morgan and Peirce, too, made use of differential operators in a logical context, but the exploration of those ideas has been hampered by a number of factors, not the least of which has been the lack of a syntax adequate to handle the complexity of expressions evolving in the process.
Table 1 shows the cactus graphs, the corresponding cactus expressions, their logical meanings under the so‑called existential interpretation, and their translations into conventional notations for a sample of basic propositional forms.
Table 1. Syntax and Semantics of a Calculus for Propositional Logic
The simplest expression for logical truth is the empty word, typically denoted by or in formal languages, where it is the identity element for concatenation. To make it visible in context, it may be denoted by the equivalent expression or, especially if operating in an algebraic context, by a simple Also when working in an algebraic mode, the plus sign may be used for exclusive disjunction. Thus we have the following translations of algebraic expressions into cactus expressions.
It is important to note the last expressions are not equivalent to the 3‑place form
Submissions for presentations of papers, panel discussions, workshops, performance sessions, and creative contributions, inspired by George Spencer-Brown’s work and life, are now warmly invited for the Laws of Form 2026 Conference (LoF26).
There is no charge to attend or present at the conference.
Submission Guidelines
Please submit an extended abstract (up to 300 words) outlining the content and structure of your proposed contribution. Please include:
• Title of your presentation
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• Format preference (paper presentation, panel discussion, workshop, creative, etc.)
• Short biographical note (≤ 150 words)
• Any AV / technical / access requirements
• Submission deadline Sunday 1st March 2026
• Notification of acceptance 31st March 2026
Facilities for remote video presentations will be available for those unable to attend in person.
If you have a Google account you may prefer to upload your submission here:
https://forms.gle/zknFvXWQXzmfQtn2A
As with previous conferences, and subject to peer review, contributions may be published in Distinction: Journal of Form (College Publications Ltd) or in future volumes of the Spencer-Brown Society book series Marked States.
Venue
University of Cambridge
Faculty of Education
184 Hills Road
Cambridge CB2 8PQ, United Kingdom
Monday 10 August – Friday 14 August 2026
Social & Cultural Events
In addition to the conference, optional events will include:
• Punting on the River Cam
• Evensong at King’s College Chapel
• A meal at the Eagle pub, where, on 28 February 1953, Francis Crick dramatically announced that he and James Watson had “discovered the secret of life.”
Support
LoF26 is entirely free to attend, made possible through the generosity of the Faculty of Education, Cambridge University, sponsors, and individual supporters.
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Contributions toward the costs of running the conference and sharing its results are deeply appreciated and help ensure that participation remains open to all. Every contribution — large or small — directly sustains the continuation of this unique, open, and evolving forum dedicated to the work and life of George Spencer-Brown. If you are able to support this ongoing work, please make a donation through our website: https://lof50.com/
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The development of differential logic is facilitated by having a moderately efficient calculus in place at the level of boolean‑valued functions and elementary logical propositions. One very efficient calculus on both conceptual and computational grounds is based on just two types of logical connectives, both of variable -ary scope. The syntactic formulas of that calculus map into a family of graph-theoretic structures called “painted and rooted cacti” which lend visual representation to the functional structures of propositions and smooth the path to efficient computation.
The first kind of connective is a parenthesized sequence of propositional expressions, written to mean exactly one of the propositions is false, in short, their minimal negation is true. An expression of that form is associated with a cactus structure called a lobe and is “painted” with the colors as shown below.
The second kind of connective is a concatenated sequence of propositional expressions, written to mean all the propositions are true, in short, their logical conjunction is true. An expression of that form is associated with a cactus structure called a node and is “painted” with the colors as shown below.
All other propositional connectives can be obtained through combinations of the above two forms. As it happens, the parenthesized form is sufficient to define the concatenated form, making the latter formally dispensable, but it’s convenient to maintain it as a concise way of expressing more complicated combinations of parenthesized forms. While working with expressions solely in propositional calculus, it’s easiest to use plain parentheses for logical connectives. In contexts where ordinary parentheses are needed for other purposes an alternate typeface may be used for the logical operators.
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