Artificial intelligence

I prodotti di ricerca realizzati e che seguono mostrano come il centro di ricerca APRESO si collochi oggi tra i riferimenti scientifici più rilevanti nello studio dell’intelligenza artificiale applicata alla psicologia del lavoro. L’obiettivo principale è quello di comprendere e valorizzare il ruolo delle nuove tecnologie nei contesti organizzativi, attraverso un approccio interdisciplinare che integra competenze psicologiche, informatiche e organizzative. Questo consente di indagare in che modo l’IA possa contribuire al benessere individuale e collettivo, ottimizzando processi decisionali, gestione delle risorse umane ed efficienza aziendale

Una parte consistente delle attività di APRESO riguarda la definizione di modelli di intervento basati sull’evidenza empirica, con una particolare attenzione agli aspetti sociali, etici ed emotivi che derivano dall’interazione uomo-macchina. Le ricerche promuovono una cultura organizzativa responsabile e inclusiva, stimolando un dialogo consapevole tra scienza, innovazione tecnologica e comunità professionali. In questo modo il centro contribuisce alla diffusione di pratiche sostenibili, capaci di coniugare efficienza organizzativa e tutela del benessere psicologico, consolidando la propria posizione come punto di riferimento per la ricerca avanzata sull’interazione tra esseri umani e tecnologie intelligenti nei contesti lavorativi complessi

Name	APA reference
🔍 EAWOP 2025 Poster presentation: An Umbrella Review on Tools, Uses and Best Practices of Artificial Intelligence in Education: Impulses for Adult Education and Vocational Training	Wubbels, C., Tommasi, F., Perini, M., Sartori, R., & Ceschi, A. (2025, May 21–24). An umbrella review on tools, uses and best practices of artificial intelligence in education: Impulses for adult education and vocational training [Poster presentation]. European Association of Work and Organizational Psychology (EAWOP) Conference, Prague, Czech Republic
From Bounded Rationality to Collective Behavior	Ceschi, A., & Fioretti, G. (2021). From bounded rationality to collective behavior. Nonlinear Dynamics, Psychology, and Life Sciences, 25(4), 385-394.
CFP-OrgBehavior (Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations)	Ceschi, A., Sartori, R., & Guastello, S. J. (2018). Advanced modeling methods for studying individual differences and dynamics in organizations: introduction to the special issue. Nonlinear Dynamics, Psychology, and Life Sciences, 22(1), 1-13.
Application of Psychological Theories in Agent-Based Modeling	Scalco, A., Ceschi, A., & Sartori, R. (2018). Application of psychological theories in agent-based modeling: The case of the theory of planned behavior. Nonlinear Dynamics, Psychology, and Life Sciences, 22(1), 15–33.
The Pursuit of Happiness A Model of Group Formation	Scalco, A., Ceschi, A., & Sartori, R. (2017). The pursuit of happiness: A model of group formation. In F. Amblard, B. Ferri, & A. M. J. Janssen (Eds.), Advances in social simulation 2015 (pp. 367–371). Springer.
🔍 Agent-Based Modeling Method New Linkage of Computer Science and Organizational Psychology	Charkhabi, M., Scalco, A., & Ceschi, A. (2015). Agent-based modeling method: New linkage of computer science and organizational psychology. In Proceedings of the International Conference on Computational Methods in Psychology and Social Sciences (pp. 112–114). Milan, Italy: Cognitive Science Academic Press
On organizational and decisional processes computed trough a generative approach	Sartori, R., Ceschi, A., & Costantini, A. (2015). On decision processes in businesses, companies and organizations computed through a generative approach: the case of the agent-based modeling. International Journal of Business Research, 15(2), 25-38.
Trait Emotional Intelligence Modelling Individual Emotional Differences in	Scalco, A. (2015). Trait emotional intelligence: Modelling individual emotional differences in agent-based models. In Trends in Practical Applications of Agents, Multi-agent Systems and Sustainability: The PAAMS Collection (pp. 237–238). Springer.
Designing a Homo Psychologicus more Psychologicus	Ceschi, A., Rubaltelli, E., & Sartori, R. (2014). Designing a homo psychologicus more psychologicus: empirical results on value perception in support to a new theoretical organizational-economic agent based model. In Distributed Computing and Artificial Intelligence, 11the International Conference (pp. 71-78). Springer.
Cooperate or Defect	Ceschi, A., Hysenbelli, D., Sartori, R., & Tacconi, G. (2014). Cooperate or defect? How an agent-based model simulation on helping behavior can be an educational tool. In Methodologies and Intelligent Systems for Technology Enhanced Learning (pp. 189–196). Springer International Publishing.
🔍 Can simulations perform decision-making and learning processes of teams?	Sartori, R., Ceschi, A., & Dorofeeva, K. (2013). Can simulations perform decision-making and learning processes of teams? Review of Business Research, 13(2), 65–72.

Name

APA reference

🔍

EAWOP 2025 Poster presentation: An Umbrella Review on Tools, Uses and Best Practices of Artificial Intelligence in Education: Impulses for Adult Education and Vocational Training

Wubbels, C., Tommasi, F., Perini, M., Sartori, R., & Ceschi, A. (2025, May 21–24). An umbrella review on tools, uses and best practices of artificial intelligence in education: Impulses for adult education and vocational training [Poster presentation]. European Association of Work and Organizational Psychology (EAWOP) Conference, Prague, Czech Republic

From Bounded Rationality to Collective Behavior

Ceschi, A., & Fioretti, G. (2021). From bounded rationality to collective behavior. Nonlinear Dynamics, Psychology, and Life Sciences, 25(4), 385-394.

CFP-OrgBehavior (Advanced Modeling Methods for Studying Individual Differences and Dynamics in Organizations)

Ceschi, A., Sartori, R., & Guastello, S. J. (2018). Advanced modeling methods for studying individual differences and dynamics in organizations: introduction to the special issue. Nonlinear Dynamics, Psychology, and Life Sciences, 22(1), 1-13.

Application of Psychological Theories in Agent-Based Modeling

Scalco, A., Ceschi, A., & Sartori, R. (2018). Application of psychological theories in agent-based modeling: The case of the theory of planned behavior. Nonlinear Dynamics, Psychology, and Life Sciences, 22(1), 15–33.

The Pursuit of Happiness A Model of Group Formation

Scalco, A., Ceschi, A., & Sartori, R. (2017). The pursuit of happiness: A model of group formation. In F. Amblard, B. Ferri, & A. M. J. Janssen (Eds.), Advances in social simulation 2015 (pp. 367–371). Springer.

🔍

Agent-Based Modeling Method New Linkage of Computer Science and Organizational Psychology

Charkhabi, M., Scalco, A., & Ceschi, A. (2015). Agent-based modeling method: New linkage of computer science and organizational psychology. In Proceedings of the International Conference on Computational Methods in Psychology and Social Sciences (pp. 112–114). Milan, Italy: Cognitive Science Academic Press

On organizational and decisional processes computed trough a generative approach

Sartori, R., Ceschi, A., & Costantini, A. (2015). On decision processes in businesses, companies and organizations computed through a generative approach: the case of the agent-based modeling. International Journal of Business Research, 15(2), 25-38.

Trait Emotional Intelligence Modelling Individual Emotional Differences in

Scalco, A. (2015). Trait emotional intelligence: Modelling individual emotional differences in agent-based models. In Trends in Practical Applications of Agents, Multi-agent Systems and Sustainability: The PAAMS Collection (pp. 237–238). Springer.

Designing a Homo Psychologicus more Psychologicus

Ceschi, A., Rubaltelli, E., & Sartori, R. (2014). Designing a homo psychologicus more psychologicus: empirical results on value perception in support to a new theoretical organizational-economic agent based model. In Distributed Computing and Artificial Intelligence, 11the International Conference (pp. 71-78). Springer.

Cooperate or Defect

Ceschi, A., Hysenbelli, D., Sartori, R., & Tacconi, G. (2014). Cooperate or defect? How an agent-based model simulation on helping behavior can be an educational tool. In Methodologies and Intelligent Systems for Technology Enhanced Learning (pp. 189–196). Springer International Publishing.

🔍

Can simulations perform decision-making and learning processes of teams?

Sartori, R., Ceschi, A., & Dorofeeva, K. (2013). Can simulations perform decision-making and learning processes of teams? Review of Business Research, 13(2), 65–72.