—“Uncompetitive organisms pursue parasitism – if they can. As any organism would. One doesn’t simply accept his reproductive strategy is suboptimal.”—Martin Å tÄpán
Category: Evolutionary Computation and Systems
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We Spin Off People
What you notice is that we spin off people who explore their own niches, and meanwhile a core of us keep going deeper and deeper.
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Yes, Game Theory Is Just a Rubik’s Cube – a Toy – But…. Let’s Look at That a Moment…
October 8th, 2018 1:56 PM YES, GAME THEORY IS JUST A RUBK’S CUBE – A TOY – BUT…. LET’S LOOK AT THAT A MOMENT…
—“Curt, What are your thoughts on Game Theory? Is it a valuable tool for describing group or individual behavior or just a kind of Rubix Cube for involuntarily celibate economists.”—âVincent Cucchiaraâ
[W]hile it is useful as a general principle that layers of prisoner’s dilemmas are always at play and therefore unpredictable, it’s a dead end since only the first, second, and at most third order are perceptible and calculable and demonstrated by man. No real world game (market) is that trivial. Same with logics. We are all pretty good with first order logic and sometimes second order, but beyond that it’s just a language game for logicians – no one does or can think in those terms. Because no one expresses ideas that trivial. Causal density is simply too high. I’d make the same argument about Operationalism, in that it’s only important to understand general rules produced by operational analysis the way we understand norms and laws – we just do (use or repeat) them. The fact that it is incredibly burdensome and requires a great deal of knowledge to speak in operational language lets us make proofs when we need to the way we do with engineering, recipes, programming, and mathematics, but people will continue to speak in norms as a means of limiting the cost of neural economy (computational efficiency). We always and everywhere seek to limit physical, emotional, and intellectual costs – particularly when a norm exists that lets us communicate while avoiding them: (i.e. manners, vocabulary, narratives, traditions.) We are always battling the problem of neural economy (computational efficiency) and this is why normative concepts are helpful – they function as useful puzzle pieces that eliminate our demand for computation of everything all the time, in real time, which is exhausting. The value of neurons is that they generalize. Our whole problem boils down to ensuring constant relations between the real world and our generalizations of it. Unfortunately we are ignorant, we err, we bias, and we tell white, grey, and black lies to ‘maintain the peace’ as frequently as we speak in constant relations with the existential universe. It’s bad enough we have to use prices and bank balances…. lol Curt Doolittle
The Propertarian Institute
Kiev, Ukraine -
Yes, Game Theory Is Just a Rubik’s Cube – a Toy – But…. Let’s Look at That a Moment…
October 8th, 2018 1:56 PM YES, GAME THEORY IS JUST A RUBK’S CUBE – A TOY – BUT…. LET’S LOOK AT THAT A MOMENT…
—“Curt, What are your thoughts on Game Theory? Is it a valuable tool for describing group or individual behavior or just a kind of Rubix Cube for involuntarily celibate economists.”—âVincent Cucchiaraâ
[W]hile it is useful as a general principle that layers of prisoner’s dilemmas are always at play and therefore unpredictable, it’s a dead end since only the first, second, and at most third order are perceptible and calculable and demonstrated by man. No real world game (market) is that trivial. Same with logics. We are all pretty good with first order logic and sometimes second order, but beyond that it’s just a language game for logicians – no one does or can think in those terms. Because no one expresses ideas that trivial. Causal density is simply too high. I’d make the same argument about Operationalism, in that it’s only important to understand general rules produced by operational analysis the way we understand norms and laws – we just do (use or repeat) them. The fact that it is incredibly burdensome and requires a great deal of knowledge to speak in operational language lets us make proofs when we need to the way we do with engineering, recipes, programming, and mathematics, but people will continue to speak in norms as a means of limiting the cost of neural economy (computational efficiency). We always and everywhere seek to limit physical, emotional, and intellectual costs – particularly when a norm exists that lets us communicate while avoiding them: (i.e. manners, vocabulary, narratives, traditions.) We are always battling the problem of neural economy (computational efficiency) and this is why normative concepts are helpful – they function as useful puzzle pieces that eliminate our demand for computation of everything all the time, in real time, which is exhausting. The value of neurons is that they generalize. Our whole problem boils down to ensuring constant relations between the real world and our generalizations of it. Unfortunately we are ignorant, we err, we bias, and we tell white, grey, and black lies to ‘maintain the peace’ as frequently as we speak in constant relations with the existential universe. It’s bad enough we have to use prices and bank balances…. lol Curt Doolittle
The Propertarian Institute
Kiev, Ukraine -
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
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“Politically, socially, or otherwise: as fragmentation grows linearly, the surfa
—“Politically, socially, or otherwise: as fragmentation grows linearly, the surface area across which a coherent system must retain interfaces grows exponentially. This selection pressure… https://www.facebook.com/permalink.php?story_fbid=299876563942574&id=100017606988153
Source date (UTC): 2018-10-03 01:04:21 UTC
Original post: https://twitter.com/i/web/status/1047291230772764672
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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): 2018-10-02 22:15:00 UTC
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“Politically, socially, or otherwise: as fragmentation grows linearly, the surfa
—“Politically, socially, or otherwise: as fragmentation grows linearly, the surface area across which a coherent system must retain interfaces grows exponentially. This selection pressure tends to prune nuanced interfaces, and leave those that favor binary states of info sorting.” – Matthew Pirkowski
( via Brandon Hayes )
Source date (UTC): 2018-10-02 21:04:00 UTC
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I’ve been at this with you before, and you have either a private definition of g
I’ve been at this with you before, and you have either a private definition of group selection or you are pedantically conflating the fact that yes, only individuals choose, with yes, individuals also bias choices for all sorts of reasons both geographic, netonic, and signaling.
Source date (UTC): 2018-09-28 22:58:13 UTC
Original post: https://twitter.com/i/web/status/1045809937279066112
Reply addressees: @JayMan471
Replying to: https://twitter.com/i/web/status/1045806911029948416
IN REPLY TO:
@JayMan471
No, no, no! Group selection is nonsense https://t.co/kQ6aASRojL
Original post: https://twitter.com/i/web/status/1045806911029948416
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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.- 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.
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.
The proposed framework highlights the circumstances wherein static spatial patterns emerge and can be a stabilizing mechanism of consumer-resource interactions.”—
- 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.