Pubblicazioni

Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations: Introduction to the Special Issue  (2018)

Autori:
Ceschi, Andrea; Sartori, Riccardo; Guastello, Sj
Titolo:
Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations: Introduction to the Special Issue
Anno:
2018
Tipologia prodotto:
Articolo in Rivista
Tipologia ANVUR:
Articolo su rivista
Lingua:
Inglese
Formato:
A Stampa
Referee:
Nome rivista:
NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES
ISSN Rivista:
1090-0578
N° Volume:
22
Intervallo pagine:
1-13
Parole chiave:
Agent-Based Models; Organizational Dynamics; Psychological Theoretical Frameworks
Breve descrizione dei contenuti:
It is likely that computer simulations will assume a greater role in the next future to investigate and understand reality (Rand & Rust, 2011). Particularly, agent-based models (ABMs) represent a method of investigation of social phenomena that blend the knowledge of social sciences with the advantages of virtual simulations. Within this context, the development of algorithms able to recreate the reasoning engine of autonomous virtual agents represents one of the most fragile aspects and it is indeed crucial to establish such models on well-supported psychological theoretical frameworks. For this reason, the present work discusses the application case of the theory of planned behavior (TPB; Ajzen, 1991) in the context of agent-based modeling: It is argued that this framework might be helpful more than others to develop a valid representation of human behavior in computer simulations. Accordingly, the current contribution considers issues related with the application of the model proposed by the TPB inside computer simulations and suggests potential solutions with the hope to contribute to shorten the distance between the fields of psychology and computer science.
Id prodotto:
101704
Handle IRIS:
11562/976250
ultima modifica:
11 novembre 2022
Citazione bibliografica:
Ceschi, Andrea; Sartori, Riccardo; Guastello, Sj, Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations: Introduction to the Special Issue «NONLINEAR DYNAMICS, PSYCHOLOGY AND LIFE SCIENCES» , vol. 222018pp. 1-13

Consulta la scheda completa presente nel repository istituzionale della Ricerca di Ateneo IRIS

Progetti Collegati
Titolo Dipartimento Responsabili
Human-machine interaction Dipartimento Scienze Umane Riccardo Sartori, Andrea Ceschi, Francesco Tommasi
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