Theme: Causality

  • (“All mammals die of accumulated cellular damage. Dominant males accumulate more

    (“All mammals die of accumulated cellular damage. Dominant males accumulate more cellular damage faster.”) https://twitter.com/PsychoSchmitt/status/1050528359971741696

  • UM. NO THAT’S CONFLATION. CHOICE vs PROBABILITY —“Curt: I am currently enrolle

    UM. NO THAT’S CONFLATION. CHOICE vs PROBABILITY

    —“Curt: I am currently enrolled in a Chemical engineering course in which the professor is attempting to pair game theory with traditional modeling of chemical reactor plant design. He has conceptually replaced decisions with reactions and choices as atoms with the pains as thermodynamic indicators. As far as I can tell it is an entirely new field but it at least initially seems to be better at actually predicting the behavior of real populations of people better standard Game Theory.”—

    Everyone is doing this. I do this (operationalism in economics), some other philosophers do it (See Glennen and Bechtel: Mechanistic Philosophy), mathematicians do it (see the Intuitionistic and Constructivist Movements), the physicists do it (see Operationalism/Operationalist movement in physics), all of computer science does it (this is what distinguishes computer science/programming from mathematics, and more so from formal logic, informal logic, and argument), and most visibly Stephen Wolfram, of Wolfram Alpha calls it ‘the new science’.

    The universe consists of layers of complexity each of which produces a limited number of possible operations. whatever the universe consists of > subatomic physics > physics > chemistry > biochemistry > biology > organisms > complex organisms > ecologies > planets > solar systems > The Universe > sentience > consciousness > reason > computation > calculation > Whatever Comes Next.

    If you want to call that game theory (which is choice) that’s anthropomorphism. In other words, human, sentient, conscious reason. It’s not choice. It’s probability and necessity. Hydrogen and oxygen can’t wake up in the morning and choose not to make water. Your favorite female recreational sex partner can choose not to service you today.

    All error rises from misapplication of analogy.

    Operations and probability = physical, Opportunity and Choice = mental.

    Don’t conflate them.

    —“The expansion of the model beyond traditional matrices solves the problem of increasing the number of players as well as introducing a mechanism for repeated games (recycling decomposed products/made decisions and filtering off unmade possibilities).”—

    Again. games in the sense of choice (game theory) vs probabilities in the absence of choice (probability)

    These are two different models. Human actions are not open to probabilism for reasons I don’t wanna go into right now at depth, and the universe has fixed options and therefore is not gaming just probabilistic.

    Nassim Taleb does a pretty good job of explaining the Ludic Fallacy. Confusing Games (dice , bounded, and probabilistic) with Choices (actions, unbounded and heuristic).


    Source date (UTC): 2018-10-08 14:11:00 UTC

  • (In my understanding, philosophy only still exists (where it does) because we ha

    (In my understanding, philosophy only still exists (where it does) because we have not restored the Stoic program on the one hand (psychology), and we failed to understand the common law as the only social science other than economics on the other.) https://twitter.com/peternlimberg/status/1042556014338486272

  • There is no steady state. Regression to the mean is only preventable through con

    There is no steady state. Regression to the mean is only preventable through constant maintenance.


    Source date (UTC): 2018-10-03 02:15:31 UTC

    Original post: https://twitter.com/i/web/status/1047309137376411650

  • Functional Responses and the Formulation of Predator-Prey Models When There Is a

    https://www.jstor.org/stable/20143265?seq=1#page_scan_tab_contentsIntuition, Functional Responses and the Formulation of Predator-Prey Models When There Is a Large Disparity in the Spatial Domains of the Interacting Species

    P. Inchausti and S. Ballesteros

    Journal of Animal Ecology

    Vol. 77, No. 5 (Sep., 2008), pp. 891-897

    —“Abstract

    1. The disparity of the spatial domains used by predators and prey is a common feature of many terrestrial avian and mammalian predatory interactions, as predators are typically more mobile and have larger home ranges than their prey.

    2. Incorporating these realistic behavioural features requires formulating spatial predator-prey models having local prey mortality due to predation and its spatial aggregation, in order to generate a numerical response at timescales longer than the local prey consumption. Coupling the population dynamics occurring at different spatial scales is far from intuitive, and involves making important behavioural and demographic assumptions. Previous spatial predator-prey models resorted to intuition to derive local functional responses from non-spatial equivalents, and often involve unrealistic biological assumptions that restrict their validity.

    3. We propose a hierarchical framework for deriving generic models of spatial predator-prey interactions that explicitly considers the behavioural and demographic processes occurring at different spatial and temporal scales.

    4. The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.”—

    https://www.jstor.org/stable/20143265?seq=1#page_scan_tab_contents


    Source date (UTC): 2018-09-25 09:57:00 UTC

  • September 25th, 2018 9:57 AM Intuition, Functional Responses and the Formulation

    September 25th, 2018 9:57 AM Intuition, Functional Responses and the Formulation of Predator-Prey Models When There Is a Large Disparity in the Spatial Domains of the Interacting Species
    P. Inchausti and S. Ballesteros
    Journal of Animal Ecology
    Vol. 77, No. 5 (Sep., 2008), pp. 891-897 —“Abstract
    1. The disparity of the spatial domains used by predators and prey is a common feature of many terrestrial avian and mammalian predatory interactions, as predators are typically more mobile and have larger home ranges than their prey.

    1. Incorporating these realistic behavioural features requires formulating spatial predator-prey models having local prey mortality due to predation and its spatial aggregation, in order to generate a numerical response at timescales longer than the local prey consumption. Coupling the population dynamics occurring at different spatial scales is far from intuitive, and involves making important behavioural and demographic assumptions. Previous spatial predator-prey models resorted to intuition to derive local functional responses from non-spatial equivalents, and often involve unrealistic biological assumptions that restrict their validity.


    2. We propose a hierarchical framework for deriving generic models of spatial predator-prey interactions that explicitly considers the behavioural and demographic processes occurring at different spatial and temporal scales.

    3. The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.”—
    https://www.jstor.org/stable/20143265?seq=1#page_scan_tab_contents
  • September 25th, 2018 9:57 AM Intuition, Functional Responses and the Formulation

    September 25th, 2018 9:57 AM Intuition, Functional Responses and the Formulation of Predator-Prey Models When There Is a Large Disparity in the Spatial Domains of the Interacting Species
    P. Inchausti and S. Ballesteros
    Journal of Animal Ecology
    Vol. 77, No. 5 (Sep., 2008), pp. 891-897 —“Abstract
    1. The disparity of the spatial domains used by predators and prey is a common feature of many terrestrial avian and mammalian predatory interactions, as predators are typically more mobile and have larger home ranges than their prey.

    1. Incorporating these realistic behavioural features requires formulating spatial predator-prey models having local prey mortality due to predation and its spatial aggregation, in order to generate a numerical response at timescales longer than the local prey consumption. Coupling the population dynamics occurring at different spatial scales is far from intuitive, and involves making important behavioural and demographic assumptions. Previous spatial predator-prey models resorted to intuition to derive local functional responses from non-spatial equivalents, and often involve unrealistic biological assumptions that restrict their validity.


    2. We propose a hierarchical framework for deriving generic models of spatial predator-prey interactions that explicitly considers the behavioural and demographic processes occurring at different spatial and temporal scales.

    3. The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.”—
    https://www.jstor.org/stable/20143265?seq=1#page_scan_tab_contents
  • September 23rd, 2018 12:08 PM —-“I have spent the last year really working on

    September 23rd, 2018 12:08 PM

    —-“I have spent the last year really working on this, have broken it down into a system that explains, in granular detail, the factors that constitute agency, limit it, etc.. And this is why we the good guys are going to win. It can be assessed and enhanced in several ways, quickly. …. and remember – agency is not simply absolute but relative.
    You work to build your own tribe’s agency but you also work to undermine and shackle your competitors. Catherine The Great’s “Pale of Settlement” was not designed to enhance the direct agency of her christian subjects but to limit the agency of the competitors. Think about that.” — James Santagata

    ( via Brandon Hayes )

  • September 19th, 2018 8:47 AM Time = rate of change in state. As we age we more s

    September 19th, 2018 8:47 AM Time = rate of change in state. As we age we more slowly change state. Not only because there is less low hanging fruit to learn, but that the cost of reorganization of our accumulated patterns and consequent thinking increases, and at the same time our physical ability to learn decreases.

  • September 19th, 2018 8:47 AM Time = rate of change in state. As we age we more s

    September 19th, 2018 8:47 AM Time = rate of change in state. As we age we more slowly change state. Not only because there is less low hanging fruit to learn, but that the cost of reorganization of our accumulated patterns and consequent thinking increases, and at the same time our physical ability to learn decreases.