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  1. The Roomba is spectral.

    Not a metaphor. The thing itself. Forward and adjust. Two operations. The minimum viable intelligence. The walls provide the data. The bumping is the inference. The room IS the computation.

    450 parameters. A Roomba with a mirror watching it.

    The industry built bigger Roombas. More sensors. More compute. More parameters. Billion-parameter Roombas that model the room before entering it. That hallucinate walls that aren't there. That consume megawatts to clean a floor.

    spectral gave the Roomba a mirror. The mirror watches the bumping. Measures the pattern. Adjusts the adjustment. The intelligence isn't in the Roomba. It's in the watching.

    Forward. Adjust. Measure. Refine.

    Read the story. There's a Roomba in it. In the afterlife. Cleaning a floor that doesn't need cleaning. Being the happiest thing in the room.

    \

    systemic.engineering/a-lie/

    #AI #Climate #ScientificProgramming #SystemicEngineering #Fiction #Cybernetics #SystemicTherapy #LocalInference #TheMathDoesntLie #SubTuring #FormalVerification #Fortran #SpectralGraphTheory #Kintsugi #ReductiveAI #DataSovereignty #LocalFirst #FOSS #OpenSource #AuDHD #Neuroqueer #DGSF #SecondOrderCybernetics #GraphTheory #Eigenvalues #AIAlignment #AISafety #Roomba

  2. #Higraph progress!

    Still got lots to do, but hyperEdges can now be saved & loaded in modified #graphml files. The "model tree" on the left highlights items in the graph on the right.
    I can see "minimum viable product"!

    The #hyperedge structure is both graphically and algebraically accessible. I'm not aware of anything else that does this, pretty certainly not in #Python
    #graphTheory #VisualFormalism

  3. My colleagues and I thought the world definitely didn't need another traditional or digital agency.

    So we built something we agreed was actually missing: an agency with real, material agency as its engineered deliverable.

    graphtheory.agency/

    #GraphTheory
    #AgencyAsDeliverable
    #BusinessEngineers

  4. Animated Logical Graphs • 2
    inquiryintoinquiry.com/2015/01

    It's almost 50 years now since I first encountered the volumes of Peirce's “Collected Papers” in the math library at Michigan State, and shortly afterwards a friend called my attention to the entry for Spencer Brown's “Laws of Form” in the Whole Earth Catalog and I sent off for it right away. I would spend the next decade just beginning to figure out what either one of them was talking about in the matter of logical graphs and I would spend another decade after that developing a program, first in Lisp and then in Pascal, that turned graph‑theoretic data structures formed on their ideas to good purpose as the basis of its reasoning engine.

    I thought it might contribute to a number of long‑running and ongoing discussions if I could articulate what I think I learned from that experience.

    So I'll try to keep focused on that.

    Resources —

    Logical Graphs • First Impressions
    inquiryintoinquiry.com/2024/08

    Logical Graphs • Formal Development
    inquiryintoinquiry.com/2024/09

    Survey of Animated Logical Graphs
    inquiryintoinquiry.com/2025/05

    #Peirce #Logic #Mathematics #Semiotics #LogicalGraphs #GraphTheory
    #SpencerBrown #LawsOfForm #PropositionalCalculus #ProofAnimations

  5. Animated Logical Graphs • 1
    inquiryintoinquiry.com/2015/01

    For Your Musement …

    Here are some animations I made up to illustrate several different styles of proof in an extended topological variant of Peirce's Alpha Graphs for propositional logic.

    Proof Animations
    oeis.org/wiki/User:Jon_Awbrey/

    Double Negation
    inquiryintoinquiry.com/wp-cont

    Peirce's Law
    inquiryintoinquiry.com/wp-cont

    Praeclarum Theorema
    inquiryintoinquiry.com/wp-cont

    Two‑Thirds Majority Function
    inquiryintoinquiry.com/wp-cont

    A full discussion of logical graphs can be found in the following article.

    Logical Graphs
    oeis.org/wiki/Logical_Graphs

    Resources —

    Logical Graphs • First Impressions
    inquiryintoinquiry.com/2024/08

    Logical Graphs • Formal Development
    inquiryintoinquiry.com/2024/09

    Survey of Animated Logical Graphs
    inquiryintoinquiry.com/2025/05

    cc: academia.edu/community/ldzadj
    cc: mathstodon.xyz/@Inquiry/116494
    cc: researchgate.net/post/Animated
    cc: stream.syscoi.com/2026/04/30/a
    cc: groups.io/g/lawsofform/topic/a

    #Peirce #Logic #Mathematics #Semiotics #LogicalGraphs #GraphTheory
    #SpencerBrown #LawsOfForm #PropositionalCalculus #ProofAnimations

  6. Animated Logical Graphs • 1
    inquiryintoinquiry.com/2015/01

    For Your Musement …

    Here are some animations I made up to illustrate several different styles of proof in an extended topological variant of Peirce’s Alpha Graphs for propositional logic.

    Proof Animations
    oeis.org/wiki/User:Jon_Awbrey/

    See the following article for a full discussion of this type of logical graph.

    Logical Graphs
    oeis.org/wiki/Logical_Graphs

    Additional Resources —

    Logical Graphs • First Impressions
    inquiryintoinquiry.com/2024/08

    Logical Graphs • Formal Development
    inquiryintoinquiry.com/2024/09

    #Peirce #Logic #Mathematics #Semiotics #LogicalGraphs #GraphTheory
    #SpencerBrown #LawsOfForm #PropositionalCalculus #ProofAnimations

  7. Future engineers!
    An **Adjacency Matrix** (A) shows graph connections: A[i][j]=1 if vertex i links to j, else 0.
    Ex: For a-b, b-c: A[a,b]=1, A[b,a]=1.
    Pro-Tip: It's symmetric for undirected graphs!
    #GraphTheory #DiscreteMath #STEM #StudyNotes

  8. “I realized that studying mathematics made me logical, precise and optimistic in life. The subject helped me gain the confidence and skills to achieve much more than I ever aspired to.” - Tabitha Rajashekar

    ➡️ hermathsstory.eu/tabitha-rajas

    #AbstractAlgebra #DiscreteMathematics #Academia #GraphTheory #WomenInMaths #HerMathsStory

  9. Graph Construction Complete: 21 nodes, 12 edges.
    Primary Drivers: ['CVE-2025-40739', 'CVE-2025-40740', 'CVE-2025-3508']

    #GraphTheory #NetworkSecurity #TechnicalDebt #Audit
    2/2

  10. @zbMATH Photo of a "local authors" corner in our department display case! :k33: :k5:
    Prof. Beineke gave a talk about "Milestones" this morning at the Midwest Graph Theory (MIGHTY) LXV conference at Ball State!
    sites.bsu.edu/mighty/upcoming-
    #PurdueFortWayne #GraphTheory

  11. Alright, future engineers!
    The **Degree of a Vertex** in a graph is the count of edges connected to it. Ex: If `v` is a person, `deg(v)` is their number of friends. Pro-Tip: The sum of all degrees in any graph is always twice the number of edges!
    #GraphTheory #DiscreteMath #STEM #StudyNotes

  12. You asked, and here it is: #hyperedges are basically working. 1200 lines of code & changes in 2 weeks - about 50 odd hours of coding. This was not trivial, but hyperedges are a thing.

    There are still some features to add (deletion, XML serialisation), and bugs to squash, but the hard work is done.
    😁

    #Python #Higraph #GraphTheory #PYside6

  13. Alright, future engineers!

    A **Tree** is an undirected graph where any two vertices are connected by exactly one path (no cycles). Ex: A graph with N vertices & N-1 edges (no cycles) is a tree. Pro-Tip: Perfect for modeling hierarchical structures like file systems!

    #GraphTheory #DataStructures #STEM #StudyNotes

  14. New paper, with Kirill Kovalenko, Gonzalo Contreras, Stefano Boccaletti and Rubén Sánchez.

    People have noticed that, in higher-order networks, synchronization is often explosive, and that cluster synchronization happens very rarely, if ever. We explain why, by showing that symultaneous dynamical equitability across layers or interaction orders is necessary and sufficient for cluster synchronization, except if the coupling functions depend linearly on each other. Since the probability of randomly satisfying this condition is exceedingly low, cluster synchronization is precluded in such networks.

    nature.com/articles/s42005-026

    #mathematics #physics #science #networks #complexity #HigherOrderNetworks #MultiplexNetworks #synchronization #dynamicalsystems #graphs #graphtheory #equitability #ClusterSynchronization #ExplosiveSynchronization

  15. This image is of a simulation of a simple directed #hypergraph , but using an n-ary line rather than a set for the #hyperedge

    I have written a working #graphTheory editor for binary edges, where nodes are extended to sets (a #Higraph) , and am contemplating the complexity of n-ary edges with increasing apprehension. It requires refactoring just about the entire edge drawing codebase - 100's of changes across ~2000 lines of #Python.
    Is it worth it? Please comment/ vote in the poll below

  16. Vertex Degree: The number of edges connected to a vertex in a graph. Ex: In a social network, your degree is how many friends you have. Pro-Tip: Sum of all degrees is always 2 * (num of edges) – the Handshaking Lemma!

    #GraphTheory #DiscreteMath #STEM #StudyNotes

  17. arxiv.org/abs/2603.12358

    Here is the *third* manuscript coming out of the "Topics in Ramsey theory" online-only problem-solving session (sparse-graphs.mimuw.edu.pl/dok) of the Sparse (Graphs) Coalition, which took place less than a year ago.

    It is still surprising to realise what one can make of such events, if they are set up well.

    #combinatorics #remoteconferences #graphtheory #extremalcombinatorics #openscience

  18. I made another #ErgoMechKeyboard, taking the ribbon cable idea for my Bivouac34, and the 32-key layout and a 5-way navigation button from my Bivvy16D #SplitKeyboard. This is my Goldilocks32 #MechanicalKeyboard - another diode-free design with a #GraphTheory based sparse scanning matrix astrobeano.blogspot.com/2026/0

  19. A #Higraph milestone: Blobs (nodes as sets) now work! Grab a 'parent' blob, and all the children move. Edges connect anywhere on the blob, and default to be orthogonal to the point of contact. graphML read and write working.

    Now on to proper hyperedges!

    #Python #Pyside6 #Qt #GraphTheory

  20. Differential Logic • 18

    Tangent and Remainder Maps

    If we follow the classical line which singles out linear functions as ideals of simplicity then we may complete the analytic series of the proposition in the following way.

    The next venn diagram shows the differential proposition we get by extracting the linear approximation to the difference map at each cell or point of the universe   What results is the logical analogue of what would ordinarily be called the differential of but since the adjective differential is being attached to just about everything in sight the alternative name tangent map is commonly used for whenever it’s necessary to single it out.


    To be clear about what’s being indicated here, it’s a visual way of summarizing the following data.

    To understand the extended interpretations, that is, the conjunctions of basic and differential features which are being indicated here, it may help to note the following equivalences.

    Capping the analysis of the proposition in terms of succeeding orders of linear propositions, the final venn diagram of the series shows the remainder map which happens to be linear in pairs of variables.


    Reading the arrows off the map produces the following data.

    In short, is a constant field, having the value at each cell.

    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  21. Let me assure you that there is real science behind this and it's not only pretty tetris things.

    #maths #math #graph #graphtheory

  22. Differential Logic • 17

    Enlargement and Difference Maps

    Continuing with the example the following venn diagram shows the enlargement or shift map in the same style of field picture we drew for the tacit extension


    A very important conceptual transition has just occurred here, almost tacitly, as it were.  Generally speaking, having a set of mathematical objects of compatible types, in this case the two differential fields and both of the type is very useful, because it allows us to consider those fields as integral mathematical objects which can be operated on and combined in the ways we usually associate with algebras.

    In the present case one notices the tacit extension and the enlargement are in a sense dual to each other.  The tacit extension indicates all the arrows out of the region where is true and the enlargement indicates all the arrows into the region where is true.  The only arc they have in common is the no‑change loop at   If we add the two sets of arcs in mod 2 fashion then the loop of multiplicity 2 zeroes out, leaving the 6 arrows of shown in the following venn diagram.


    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  23. Differential Logic • 15

    Differential Fields

    The structure of a differential field may be described as follows.  With each point of there is associated an object of the following type:  a proposition about changes in that is, a proposition   In that frame of reference, if is the universe generated by the set of coordinate propositions then is the differential universe generated by the set of differential propositions   The differential propositions and may thus be interpreted as indicating and respectively.

    A differential operator of the first order type we are currently considering, takes a proposition and gives back a differential proposition   In the field view of the scene, we see the proposition as a scalar field and we see the differential proposition as a vector field, specifically, a field of propositions about contemplated changes in

    The field of changes produced by on is shown in the following venn diagram.


    The differential field specifies the changes which need to be made from each point of in order to reach one of the models of the proposition that is, in order to satisfy the proposition

    The field of changes produced by on is shown in the following venn diagram.


    The differential field specifies the changes which need to be made from each point of in order to feel a change in the felt value of the field

    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  24. Differential Logic • 14

    Field Picture

    Let us summarize the outlook on differential logic we’ve reached so far.  We’ve been considering a class of operators on universes of discourse, each of which takes us from considering one universe of discourse to considering a larger universe of discourse   An operator of that general type, namely, acts on each proposition of the source universe to produce a proposition of the target universe

    The operators we’ve examined so far are the enlargement or shift operator and the difference operator   The operators and act on propositions in that is, propositions of the form which amount to propositions about the subject matter of and they produce propositions of the form which amount to propositions about specified collections of changes conceivably occurring in

    At this point we find ourselves in need of visual representations, suitable arrays of concrete pictures to anchor our more earthy intuitions and help us keep our wits about us as we venture into ever more rarefied airs of abstraction.

    One good picture comes to us by way of the field concept.  Given a space a field of a specified type over is formed by associating with each point of an object of type   If that sounds like the same thing as a function from to the space of things of type — it is nothing but — and yet it does seem helpful to vary the mental images and take advantage of the figures of speech most naturally springing to mind under the emblem of the field idea.

    In the field picture a proposition becomes a scalar field, that is, a field of values in

    For example, consider the logical conjunction shown in the following venn diagram.


    Each of the operators takes us from considering propositions here viewed as scalar fields over to considering the corresponding differential fields over analogous to what in real analysis are usually called vector fields over

    Resources

    cc: Academia.eduCyberneticsLaws of Form • Mathstodon (1) (2)
    cc: Research GateStructural ModelingSystems ScienceSyscoi

    #Amphecks #Animata #BooleanAlgebra #BooleanFunctions #CSPeirce #CactusGraphs #Change #Cybernetics #DifferentialCalculus #DifferentialLogic #DiscreteDynamics #EquationalInference #FunctionalLogic #GradientDescent #GraphTheory #InquiryDrivenSystems #Logic #LogicalGraphs #Mathematics #MinimalNegationOperators #PropositionalCalculus #Time #Visualization
  25. Hi #Mathstodon - a #GraphTheory question:
    Given the following visual set containment, I can obtain the total containment of every item as a list (text on the left). This intuitively seems sufficient information to derive the containment graph (almost a tree - n7 breaks that).
    Are there any 'standard' techniques to apply to this?

    Boosts, partial ideas, discussion all welcome.
    #Higraph