Weoftenintroduceregulatoryconstraintsorbehavioralindicationstocontrol or avoid diffusion processes with nontrivial social interactions. Examples are a pandemic or circumstances dealing with construction and management of civil structures, such as energy- dissipation reduction or the design, use, and installation of new classes of sustainable materials. The application of regulatory constraints by individuals fluctuates in rigor, depending on cognitive aspects and a number of additional psychological factors that influence decision making processes. These fluctuations may affect even drastically the previsions made through mathematical models of the phenomena under scrutiny. A basic question is as follows: How can we include such (say) psychological factors – or at least some estimates of them – into mathematical models for phenomena interacting directly with the social structure? A cascade of ancillary questions emerge. Among them: Do we need to consider such psychological factors just as a source of noisy accumulation to a bound – a stochastic approach, indeed – or in appropriate circumstances can we have a variational view on them interpreting context-driven effects as the result of the balance of opposite events? May we accept an approximate deterministic picture of these fluctuations, based, e.g., on the introduction of continuous perturbations and/or memory effects? We indicate here a conceptual perspective to tackle such questions, and we formulate and discuss open problems.

MODELS AND META-MODELS FOR INTERACTING PHENOMENA WITH SOCIAL FACTORS: A CONCEPTUAL PERSPECTIVE / Paolo Maria Mariano. - In: ATTI DELLA ACCADEMIA PELORITANA DEI PERICOLANTI, CLASSE DI SCIENZE FISICHE, MATEMATICHE E NATURALI. - ISSN 1825-1242. - ELETTRONICO. - 100:(2022), pp. 2.1-2.11. [10.1478/AAPP.1002LC2]

MODELS AND META-MODELS FOR INTERACTING PHENOMENA WITH SOCIAL FACTORS: A CONCEPTUAL PERSPECTIVE

Paolo Maria Mariano
2022

Abstract

Weoftenintroduceregulatoryconstraintsorbehavioralindicationstocontrol or avoid diffusion processes with nontrivial social interactions. Examples are a pandemic or circumstances dealing with construction and management of civil structures, such as energy- dissipation reduction or the design, use, and installation of new classes of sustainable materials. The application of regulatory constraints by individuals fluctuates in rigor, depending on cognitive aspects and a number of additional psychological factors that influence decision making processes. These fluctuations may affect even drastically the previsions made through mathematical models of the phenomena under scrutiny. A basic question is as follows: How can we include such (say) psychological factors – or at least some estimates of them – into mathematical models for phenomena interacting directly with the social structure? A cascade of ancillary questions emerge. Among them: Do we need to consider such psychological factors just as a source of noisy accumulation to a bound – a stochastic approach, indeed – or in appropriate circumstances can we have a variational view on them interpreting context-driven effects as the result of the balance of opposite events? May we accept an approximate deterministic picture of these fluctuations, based, e.g., on the introduction of continuous perturbations and/or memory effects? We indicate here a conceptual perspective to tackle such questions, and we formulate and discuss open problems.
100
1
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Goal 4: Quality education
Goal 11: Sustainable cities and communities
Paolo Maria Mariano
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2158/1285203
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