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Books on the topic 'Modelli decisionali'

Author: Grafiati

Published: 9 March 2023

Last updated: 10 March 2023

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1

Pinto, Roberto, and Maria Teresa Vespucci. Modelli decisionali per la produzione, la logistica e i servizi energetici. Milano: Springer Milan, 2011. http://dx.doi.org/10.1007/978-88-470-1791-7.

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2

La razionalità limitata nelle scienze sociali: Fondamenti, modelli e contesti decisionali. Roma: Carocci, 2009.

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3

Fabrizio, Schiaffonati, and Uttini Barbara, eds. Produzione e controllo del progetto: Modelli organizzativi, tecniche decisionali e tecnologie per la progettazione architettonica. Milano, Italy: F. Angeli, 1985.

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4

Fioretti, Guido. Garbage can: Un modello di decisioni organizzative. Bologna: CLUEB, 2006.

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5

Organizzazione come bricolage: Complessità, cultura, decisioni, imprese, modello, organismo--. Roma: Donzelli, 1995.

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6

Valenti, Veronica. Diritto alla pensione e questione intergenerazionale: Modello costituzionale e decisioni politiche. Torino: G. Giappichelli editore, 2013.

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7

Cascioli, Ettore. Modellazione di sistemi aziendali: Come ridurre l'incertezza nei processi decisionali. Milano, Italy: FrancoAngeli, 2000.

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8

L, Bernardi, ed. Decisioni di finanza pubblica e valutazione delle riforme fiscali. Bologna: Il Mulino, 1992.

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9

Massimo, Egidi, Lombardi Mauro, and Tamborini Roberto, eds. Conoscenza, incertezza e decisioni economiche: Problemi e ipotesi di ricerca. Milano, Italy: F. Angeli, 1991.

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10

Stampacchia, Paolo. La gestione delle linee ferroviarie: Un modello di analisi dei costi per il supporto alle decisioni di esercizio e di investimento. [Roma]: Centro studi sui sistemi di trasporto, 1990.

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11

Modelli Decisionali Per La Produzione La Logistica Ed I Servizi Energetici. Springer, 2011.

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12

Pinto, Roberto, and Maria Teresa Vespucci. Modelli Decisionali per la Produzione, la Logistica Ed I Servizi Energetici. Springer London, Limited, 2011.

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13

Teoria dell'attore e processi decisionali: Modelli intelligenti per la valutazione dell'impatto socio-ambientale. Milano, Italy: FrancoAngeli, 1992.

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14

Ashby, F. Gregory, and Fabian A. Soto. Multidimensional Signal Detection Theory. Edited by Jerome R. Busemeyer, Zheng Wang, James T. Townsend, and Ami Eidels. Oxford University Press, 2015. http://dx.doi.org/10.1093/oxfordhb/9780199957996.013.2.

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Multidimensional signal detection theory is a multivariate extension of signal detection theory that makes two fundamental assumptions, namely that every mental state is noisy and that every action requires a decision. The most widely studied version is known as general recognition theory (GRT). General recognition theory assumes that the percept on each trial can be modeled as a random sample from a multivariate probability distribution defined over the perceptual space. Decision bounds divide this space into regions that are each associated with a response alternative. General recognition theory rigorously defines and tests a number of important perceptual and cognitive conditions, including perceptual and decisional separability and perceptual independence. General recognition theory has been used to analyze data from identification experiments in two ways: (1) fitting and comparing models that make different assumptions about perceptual and decisional processing, and (2) testing assumptions by computing summary statistics and checking whether these satisfy certain conditions. Much has been learned recently about the neural networks that mediate the perceptual and decisional processing modeled by GRT, and this knowledge can be used to improve the design of experiments where a GRT analysis is anticipated.

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15

Gambetti, Elisa. Rabbia e rischio. Bononia University Press, 2020. http://dx.doi.org/10.30682/alph04.

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La rabbia è una delle risposte emotive più frequenti agli eventi che affrontiamo ogni giorno, quasi un leitmotiv che ci accompagna mentre compiamo molte delle nostre scelte, fondamentali o trascurabili che siano. È allora importante capire quali possano essere gli effetti di questa emozione sulle nostre valutazioni e decisioni, e in che modo essa influenzi le nostre reazioni quando ci troviamo a fronteggiare circostanze dalle potenziali conseguenze negative. Il volume prende in esame questi interrogativi illustrando i principali modelli teorici che descrivono il processo di decision-making e i risultati di alcuni studi sperimentali sulle relazioni che intercorrono fra rabbia, percezione del rischio e comportamenti.

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16

Pattono, Alberto. Addio Alle Onlus : Le Decisioni Da Prendere Subito per Adeguarsi Al Nuovo Codice Del Terzo Settore: I Modelli Di Statuto Commentati, I Bilanci e le Scadenze Urgenti per Associazioni, APS e Organizzazioni Di Volontariato. Independently Published, 2019.

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17

Sullivan, Mark D. Finding Health Between Personal and Disease Processes. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780195386585.003.0009.

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Patient autonomy on a personal level is ultimately rooted in biological autonomy on a subpersonal level. Patient decisional autonomy concerns the conscious choices patients make concerning treatments and lifestyle, whereas biological autonomy concerns the ability of patients to shape their environment. To understand the roots of health in this biological autonomy, we must bridge the chasm characteristic of modern natural science between personal meaning and impersonal mechanism. We will find that “health” and “action” represent blind spots for medical and biological theory, respectively. Modern medicine strongly distinguishes the impersonal disease from the patient who has the disease. Four disciplines at the margin of biomedicine are reviewed that challenge this separation: psychosomatics, placebo, alternative medicine, and geriatrics. Attention to personal goals during diagnosis and treatment is one way to bridge the gap between impersonal disease and the patient as person. But, ultimately, the impersonal biomedical disease model needs to be challenged.

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