O walorach poznawczych negatywnego ujmowania … świadomości (?)

2018 ◽  
Vol 52 (3) ◽  
pp. 69
Author(s):  
Krzysztof Krzyżewski
Keyword(s):  

Tak bogata, wielowątkowa i wewnętrznie zróżnicowana tradycja problematyki świadomości, jak i jej wyjątkowa złożoność i trudność, jednoznacznie „podpowiada” oraz uzasadnia nieodrzucanie zaraz na początku, z góry, jakichkolwiek możliwości podejścia do tego szczególnego przedmiotu i jakichkolwiek sposobów jego ujmowania; w tym możliwości podejścia apofatycznego i apofatycznego sposobu ujmowania go. Ich poznawcze walory zdaje się sugerować możliwa, przynajmniej możliwa, interpretacja: zasady ekonomii wyjaśniania (parsimony principle) – podstawowej zasady określającej tryb wyjaśniania realizowany z perspektywy trzecioosobowej – w kategoriach negatywnych i pozytywnych momentów/wątków jej zawartości, Ayera eksplikacji fenomenu prywatności oraz Marcela propozycji ukazania specyfiki (konstruktu) świadomości przy pomocy idiomu over and above, wskazującego nie tylko na nie-zwyczajność świadomości jako konstruktu wyjaśniającego, lecz także odsyłającego do nie-zwyczajności wyjaśnianego przezeń zachowania. Takie apofatyczne podejście – najpierw do zachowania, a potem jego mechanizmu – i takie ich (zachowania i jego mechanizmu) najpierw apofatyczne ujęcie zdaje się naprowadzać tak na samą możliwość, jak i na kierunek oraz sposób pozytywnego do nich podejścia i zawartość pozytywnego ich ujęcia; i taki zdaje się być ich (podejścia i ujęcia) podstawowy poznawczy walor. To, czy ten tryb roboty, zastosowany do pewnej postaci prywatności – wyróżnionej jeszcze na etapie negatywnego do niej podejścia i jej negatywnego jeszcze ujęcia – pozwoli później, na etapie pozytywnego już do niej podejścia i pozytywnego już jej ujęcia, w pewnym momencie na jej identyfikację z najmocniej rozumianą świadomością, to najważniejsza, ale zarazem i najtrudniejsza, z pozostających do rozważenia spraw.


2021 ◽  
Vol 13 (2) ◽  
pp. 113-122
Author(s):  
Fabrice Pataut ◽  

Ontological parsimony requires that if we can dispense with A when best explaining B, or when deducing a nominalistically statable conclusion B from nominalistically statable premises, we must indeed dispense with A. When A is a mathematical theory and it has been established that its conservativeness undermines the platonistic force of mathematical derivations (Field), or that a non numerical formulation of some explanans may be obtained so that the platonistic force of the best numerical-based account of the explanandum is also undermined (Rizza), the parsimony principle has been respected. Since derivations resorting to conservative mathematics and proofs involved in non numerical best explanations also require abstract objects, concepts, and principles under the usual reading of “abstract,” one might complain that such accounts turn out to be as metaphysically loaded as their platonistic counterparts. One might then urge that ontological parsimony is also required of these nominalistic accounts. It might, however, prove more fruitful to leave this particular worry to the side, to free oneself, as it were, from parsimony thus construed and to look at other important aspects of the defeating or undermining strategies that have been lavished on the disposal of platonism. Two aspects are worthy of our attention: epistemic cost and debunking claims. Our knowledge that applied mathematics is conservative is established at a cost, and so is our knowledge that nominalistic proofs play a genuine theoretical role in best explanations. I will suggest that the knowledge one must acquire to show that nominalistic deductions and explanations do indeed play their respective theoretical role involves some question-begging assumptions regarding the nature and validity of proofs. As for debunking, even if the face value content of either non numerical claims, or conservative mathematical claims, or platonistic mathematical claims didn’t figure in our causal explanation of why we hold the mathematical beliefs that we do, construed or understood as beliefs about such contents, or as beliefs held in either of these three ways, we could still be justified in holding them, so that the distinction between nominalistic deductions or non numerical explanations on the one hand and platonistic ones on the other turns out to be spurious with respect to the relevant propositional attitude, i.e., with respect to belief.





1993 ◽  
Vol 277 (2) ◽  
pp. 165-177 ◽  
Author(s):  
Mary Beth Seasholtz ◽  
Bruce Kowalski


2017 ◽  
Vol 36 (4) ◽  
pp. 475
Author(s):  
Murtiningrum Murtiningrum ◽  
Sudjarwadi Sudjarwadi ◽  
Rachmad Jayadi ◽  
Putu Sudira

Planting pattern in an irrigation system is affected by water availability in river which may fluctuate from time to time. The objective of this paper is to assess the discharge fluctuation characteristic of Bedog and Gajahwong Rivers measured respectively in Cokrobedog and Mrican Weirs. The historical discharge data of the two rivers was assessed to predict river discharges of subsequent year as a basis of planting pattern determination. The ARIMA model was employed to predict water avalability. Model test showed that ARIMA (1,1,0) and ARIMA (2,1,0) could accurately predict river discharge of the two rivers. Considering parsimony principle, the ARIMA (1,1,0) model was chosen as the most suitable model. Based on predicted discharge, the previous planting pattern can still be applied in the future.ABSTRAKPola tanam pada sistemirigasi dipengaruhi oleh ketersediaan air di sungai yang bervariasi dari waktu ke waktu. Tujuan penelitian ini adalah untuk menganalisis karakteristik fluktuasi debit Sungai Bedog dan Sungai Gajahwong yang masing-masing diukur di Bendung Cokrobedog dan Bendung Mrican. Data historis debit kedua sungai dianalisis untuk menentukan karakteristik dan memprediksi debit pada tahun berikutnya sebagai dasar penyusunan pola tanam. Model ARIMA dipergunakan untuk memprediksi ketersediaan air. Uji model menunjukkan bahwa ARIMA (1,1,0) and ARIMA (2,1,0) mampu memperkirakan debit kedua sungai. Dengan mempertimbangkan prinsip parsimony, maka model ARIMA (1,1,0) dipilih sebagai model yang paling sesuai. Berdadsarkan prediksi debit, pola tanam sebelumnya yaitu padi-padi-palawija masih dapat diberlakukan di masa yang akan datang. 





2015 ◽  
Vol 23 (supp01) ◽  
pp. S101-S121 ◽  
Author(s):  
EDUARDO GONZÁLEZ-OLIVARES ◽  
JOSÉ D. FLORES

This work deals with the dynamics of a bioeconomic continuous time model, where the combined action of the fishing effort exerted by men (as a predator) and multiple Allee effect or depensation on the growth rate of a self-regenerating resource (the prey) are considered. It has been recently established that a depensation phenomenon appears by diverse causes and new functions have been proposed to describe multiple Allee effects. One of these formalizations is here incorporated in the well-known Smith's model, one of the simplest models to open access fisheries. We prove that this new and complex expression is topologically equivalent to a simpler form. Then, we postulate that the parsimony principle must be used to describe this phenomenon. It is also shown that in the phase plane of biomass-effort on the proposed model, the origin is an attractor equilibrium for all parameters values as a consequence of the Allee effect. Moreover, there is a subset of the parameter values, for which two limit cycles exist surrounding the unique positive equilibrium point of the system, one of them being asymptotically stable (the non damped oscillatory tragedy of the commons); hence, multiestability exists, particularly three-stability.



1982 ◽  
Vol 36 (3) ◽  
pp. 409-418 ◽  
Author(s):  
PETRE STOICA ◽  
TORSTEN SÖDERSTRÖM
Keyword(s):  


2020 ◽  
pp. 33-47
Author(s):  
Nery Lamothe ◽  
Mara Lamothe ◽  
Daniel Lamothe ◽  
Pedro J. Lamothe

The purpose of this work is to provide evidence to the scientific community that there is solid scientific knowledge available to tame the pandemic, which is mainly a behavioral problem that requires cybernetics through behavioral engineering. Scientifically it is clear that the problem of the pandemic originates in human behavior and misinformation. Behavioral problems are addressed by cybernetics through behavioral engineering. Aristotelian causes of the pandemic are aberrant behavior. This is the field of battle and the obsession of the subject is the rise of the neurotransmitter dopamine. The question is not what is the probability that a patient with COVID-19 has a certain symptom or sign? Rather it is to calculate the probability that a patient with a certain sign or symptom has COVID-19. Without grasping the differential equations modeled by Kermack and McKendrick, it is impossible to have an idea of what is happening in the pandemic. Our straightforward theoretical approach is to use the wild unmodified SARS-CoV-2 to produce immunity by the simple expedient of diminishing the amount of the inoculum to the minimum minimorum. The problem with allowing people, deliberately attempting herd immunity, is that it has the dire effect that a high percentage will necessarily die. It is a matter of competence between two exponential functions. On one hand the exponential reproduction of the virus, and on the other hand, the exponential production of antibodies and activation of T cells. The aim is to diminish the amount of the inoculum to the minimum minimorum capable of infecting the minimum susceptible cell subpopulation. In this manner, herd immunity could be reached, which would allow a parsimonical response in the viral exponential growth that would not overwhelm the exponential immune response. It is expected that susceptible subjects could be infected in a variolation modality through the universal use of masks, maximizing the distance, rather than in a noregulated exposure of a putative low-risk segment of the population. In the logic of the decision, we must distinguish a desideratum from what is physically, economically, legally, and politically implementable. It is a matter of policy-making supported by science and law instead of doxastic logic based on misinformation and bigotry. It is a matter of policy enforcement by cybernetics, by behavior engineering, not of a recommendation. The guidelines, if they are to be implemented, depend on the application of cybernetics, and behavioral engineering. The apodictic inference from fallacies, in a doxastic and desiderative logic, is the origin of disinformation. Keywords: COVID-19 Inoculum; Bayes Theorem; Cybernetics; Variolation; Herd immunity



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