Volume 8, Issue 1, March 2020, Page: 8-14
The Triad “Cause-Mean-Effect” as a Way of Approximating the Efficiency of Technical or Non-technical Creations or Systems
Marius Arghirescu, State Office for Inventions and Trademarks, Bucharest, Romania
Received: Feb. 1, 2020;       Accepted: Feb. 24, 2020;       Published: Feb. 28, 2020
DOI: 10.11648/j.ijp.20200801.12      View  190      Downloads  56
Abstract
The paper presents a method of approximating the efficiency of a Cause-Mean-Effect (CME) triad of technical or non-technical nature, which may be used in the phylosophy of technology, especially to estimate the effects over a longer period of time of a CME triad with cyclical and variable evolution. The method consists in the studying of the CME triad’s evolution by a graphical representation with three axes in which the position on its axis of representation of the cause C or of the effect E indicates its intensity and the position on its axis of representation of the mean M represents its value expressed by the maximal possible intrinsic negentropy: OM = - SM and by its reliability p(), the efficiency of the CME triad being approximated in a simplified form as given by the product of the ratios (E/M) and (E/C). The use value of the mean M can be empirically but generally approximated by a relation: M = KM SMp() wherein KM is a quasi-constant of proportionality whose value is inversely proportional to the value of the utilities necessary for the maintaining of the reliability p() of the M-mean and which may be taken also with decreasing value- in the case of a relative triad. There are presented examples of studying the efficiency of CME triads associated with technical or non-technical or mixed systems, which reveals the possibility of the method’s using in the theory of technical or non-technical systems, in particular - in assessing the risk of the society’s regression by the degrading of the environment by irrational using of some technologies or by the excessive exploitation of natural resources. It is evidenced also the link with the known principle of “agglomeration of results”, by the variant of “tetradic CME triad”, with two different but useful effects, E1, E2, obtained by a single cause C and a single mean M.
Keywords
Cause-Mean-Effect Triad, Phylosophy of Technology, Creation’s Efficiency, System’s Reliability, Praxiology
To cite this article
Marius Arghirescu, The Triad “Cause-Mean-Effect” as a Way of Approximating the Efficiency of Technical or Non-technical Creations or Systems, International Journal of Philosophy. Vol. 8, No. 1, 2020, pp. 8-14. doi: 10.11648/j.ijp.20200801.12
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Ernst Kapp, “Grundlinien einer Philosophie der Technik. Zur Entstehungsgeschichte der Cultur aus neuen Gesichtspunkten” (Braunschweig/Brunswick (1877), Reprint Düsseldorf (1978), Engl. Translation Chicago (1978).
[2]
Green, Lelia, “Technoculture”, Crows Nest, Australia: Allen & Unwin., (2001), p. 2.
[3]
S. Băiculescu, “Triades”, Ses. Com. Of GCI- Group of Romanian Acad., Bucharest, 14 nov. (2019).
[4]
Gnedenko B. V., Beleaev I. K., “Mathematical methods in the fiability theory”, Ed. Tehnică, Bucharest, (1968).
[5]
Arghirescu M., “The Cold Genesis of Matter and Fields”, Ed. SciencePG, (2015). Arghirescu M., “The Matter’s Genesis and Field Effects”, Ed. MatrixRom, Bucharest, (2006).
[6]
Solomon Marcus, “The Paradoxe”, Ed. Albatros, Bucharest, (1984).
[7]
Kotarbiński, T., ‘Praxiology: An Introduction to the Sciences of Efficient Action’, Oxford, Pergamon Press, (1965).
[8]
R. W. Revans, ‘Action, creativity and learning: Some reflections upon the nature of achievement’, Prakseologia No. 39/40, (1971), pp. 29-50.
[9]
P. Makowski, M. Bonecki, & K. Nowak-Posadzy (Eds.), ‘Praxiology and the Reasons for Action’, Chpt. 2: ‘Praxiology Meets Planning Theory of Intention. Kotarbiński and Bratman on Plans, New Brunswick, Transaction Publishers (2015), pp. 43-71.
[10]
G. Cutting, ‚Gaston Bachelard's philosophy of science’ International Studies in the Philosophy of Science, Vol. 2, Iss. 1, (1987).
[11]
Callon et al., ‘Acting in an Uncertain world’, The MIT Press, Cambridge, London, (2009): 46-70.
[12]
Knorr Cetina K., “Laboratory Studies: The Cultural Approach to the Study of Science,” In: Jasanoff S, ed. Handbook of science and technology studies, Los Angeles, (1995).
[13]
Ian Hacking, “Representing and Intervieving, Topics in the Phylosophy of Natural Science” Cambridge Univ. Press, (1983).
Browse journals by subject