I notice programming stuff leaks into my thinking and writing often but I actually enjoy the various constructs that help clarify thinking. I don’t have any formal background in logic tho :(

What are some useful and accessible logical tools/operators/symbols that help in thinking+“pseudocode” Edit: definitely useful math/cs/logical symbols are particularly interesting

If you can, please copy/paste the actual unicode symbol or whatever

  • saigot@lemmy.ca
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    1 year ago

    Well maybe this is too basic but here are the most important to me:

    formal implication:

    X ⇒ Y (X implies Y)

    means that if X is true, Y is also true. Note that the reverse is not necessarily true, Y being true does not mean X is true (or that X is false). There is truly a staggering number of people who make this mistake in thinking all the time. And If X ⇒ Y and Y ⇒ X then X ⇔Y (X if and only if Y).

    Understanding ∀ (for all) and ∃ (there exists) is also very valuable.

    Understanding these concepts is enough to understand the basic notation of a lot of math, with it you can start reading basic math papers and really expand your horizons.

  • shapesandstuff@feddit.de
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    1 year ago

    I like the inline if/else notation

    (condition) ? (action if condition applies) : (else condition)

    Not sure if that’s the kind of thing you’re looking for

    • cheese_greater@lemmy.worldOP
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      1 year ago

      ternary expressions?

      Ya, its not out of place here or anything.

      That too and also initially I was thinkngmore referring to using symbols in place of words like

      ∴ == therefore

      But I’m just as open to those too 🤠

      Edit: I love ternary expression, such an elegant shorthand

      • shapesandstuff@feddit.de
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        1 year ago

        Ahhh gotcha.

        Yeah I’m shit with vocabulary, despite coding for a long time now :'D

        It can reaaally clean up the thought process as well as the code

    • cheese_greater@lemmy.worldOP
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      1 year ago

      Can you give a couple quick rudimentry exemplars to illustrate?

      Edit: whats that thing that concerns bottlenecks in business and manufacturing systems/processes?i remember something about sufficient/necessary dichotomy or sumfing

      • chumbalumber@lemmy.blahaj.zone
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        1 year ago

        For sure. Systems engineering is a way of trying to apply more rigid thinking to what are known as ‘wicked’ problems. There’s a whole bunch of tools that come under the discipline, but to pick one specific example, causal loop diagrams are often used to help understand why complex phenomena happen. An example:

        This shows a causal loop diagram for an energy network. The pluses indicate positive causation in the direction of the arrows, the minuses negative causation. If you were tasked with coming up with all the causes and impacts of fluctuations in energy demand, you might find it difficult to show (e.g.) positive and negative feedback loops

      • agamemnonymous@sh.itjust.works
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        1 year ago

        Are you thinking of Lean methodologies? Part of Lean is to try to streamline your processes so you don’t have a bunch of raw material/intermediate product/final product just sitting around in a warehouse doing nothing. Or you might be thinking of something along the lines of the Pareto Principle (80/20 rule), wherein chasing perfect efficiency yields diminishing returns.

        • cheese_greater@lemmy.worldOP
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          1 year ago

          No there’s something else. Its not quite scientific but its this pop-business study of bottleneck condtions and how to structure processes and organizations to remove bottlenecks/optimize for particular outcomes by resolving strategic bottlenecks.

          Don’t know why I can’t remember.

          > Something something neccessary but not sufficient

          There’s a famous book, something about an auto plant…i dunno its gone from me

          Theory of constraints

          Thats what I was thinking of

          • agamemnonymous@sh.itjust.works
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            1 year ago

            Ah! ToC does synergize very nicely with Lean Six Sigma principles.

            It sounds like some study of Systems Engineering, Process Improvement, and Project Management would help you in your goal. Not so much in the way of the kind of dense and precise operative symbology you get out of formal Logic, but in the form of less rigorous but still useful analysis and problem-solving methodologies. Just formally mapping dependencies alone can be a powerful tool.

            • cheese_greater@lemmy.worldOP
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              1 year ago

              I just like the idea of certain symbols: conventions as a leverage for more systematic or explicit thinking. I like my coding stuff has helped give me some tools I wouldn’t generally have based on background and I wanna collect them in the same way MentalModels are aggregated/referenced

              • agamemnonymous@sh.itjust.works
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                1 year ago

                It’s math instead of coding for me, but same. That’s what pushed me to SE/PI/PM. Formal Symbolic Logic is going to be where you find pretty much all of the explicit symbols you’re looking for. General System Theory also makes frequent use of differential equations, and if you understand DE than it can provide a helpful framework, but Logic is going to be most of what you want.

  • aDogCalledSpot
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    1 year ago

    I like noticing when something is the derivative/integral of something.

    Often using a derivative helps break something down and an integral might show an end result.

    For example, a software product is the sum of its commits.

      • aDogCalledSpot
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        1 year ago

        I use the term rather loosely so it’s hard to say because it depends on the setting and how pedantic you want to be.

        In a continuous setting (time, for example), you will usually see the derivative of a function f(t) being denoted as a df(t)/dt. In some cases it would also be written as f’(t). Engineers are pretty much always dealing with functions across time so they added another notation which is simply a dot over a variable. E.g. if x is your position in space then ẋ is your velocity (the derivative over time). You can add another dot if you want your acceleration (the second derivative over time = the derivative of the velocity).

        The counterpart of a derivative is the integral which is always denoted by ∫f(t)dt.

        The discrete case is a bit more tricky because these things arent that well defined in these cases. People dont seem to mind if you go with the next best thing. The derivative is the difference between steps (Im not aware of a notation for this) and for the integral you would use a sum ∑.

        Note that even this wall of text doesnt cover all of it but I hope it gets the point across.

  • Bobby Turkalino@lemmy.yachts
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    1 year ago

    Knowing the difference between exclusive and inclusive OR is pretty helpful. XOR is super useful in programming and is even the basis for one of the few “perfect” encryption systems

    Exclusive OR is usually just written as XOR, but if you’re dying to use a symbol: ⊕