Artificial intelligence

Il centro di ricerca APRESO si occupa dello studio scientifico dell’intelligenza artificiale (IA) applicata alla psicologia del lavoro, con l’obiettivo di comprendere e valorizzare il ruolo delle nuove tecnologie nei contesti organizzativi. L’attività di ricerca si fonda su un approccio interdisciplinare che integra competenze psicologiche, informatiche e organizzative, al fine di analizzare in che modo l’IA possa contribuire al miglioramento del benessere individuale e collettivo nei luoghi di lavoro. In particolare, APRESO indaga il potenziale dell’intelligenza artificiale nell’ottimizzare i processi decisionali, nella gestione delle risorse umane e nell’efficientamento delle dinamiche aziendali, promuovendo modelli di intervento basati sull’evidenza empirica. Una particolare attenzione è rivolta agli aspetti sociali, etici ed emotivi derivanti dall’interazione tra esseri umani e tecnologie intelligenti, con l’intento di promuovere una cultura organizzativa responsabile e inclusiva. Le attività del centro mirano a favorire un dialogo consapevole tra scienza, innovazione tecnologica e comunità professionali, contribuendo alla definizione di pratiche sostenibili e allineate ai valori del benessere psicologico e dell’efficienza organizzativa. APRESO si configura quindi come un punto di riferimento per la ricerca avanzata nell’ambito dell’interazione uomo-macchina in 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.
Theories for computing prosocial behaviour	Costantini, A., Scalco, A., Sartori, R., Tur, E. M., & Ceschi, A. (2019). Theories for computing prosocial behavior. Nonlinear Dynamics, Psychology, and Life Sciences, 23(3), 297–313.
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.
Compassion and prosocial behavior	Ceschi, A., Scalco, A., Dickert, S., & Sartori, R. (2015). Compassion and prosocial behavior: Is it possible to simulate them virtually? In Y. Demazeau, F. Zambonelli, J. M. Corchado, & J. Bajo (Eds.), Trends in practical applications of agents, multi-agent systems and sustainability: The PAAMS collection (pp. 207–214). Springer.
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.