Behavioral economics and AI: a neuroscientific approach to human decision-making
Damiani, Lorenzo (A.A. 2022/2023) Behavioral economics and AI: a neuroscientific approach to human decision-making. Tesi di Laurea in Managerial decision making, Luiss Guido Carli, relatore Luigi Marengo, pp. 157. [Master's Degree Thesis]
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Abstract/Index
The theoretical transition from neoclassical economics to behavioral economics: overcoming the notion of “homo economicus”. The starting point of the conceptual pathway: the quintessence of the neoclassic model. The role of psychology within the shift from neoclassical to behavioral economics. Behavioral economics principles: the concept of “homo heuristicus”. The psychological dynamics within economic assumptions: the theoretical foundation of behavioral economics. Social preferences as behavioral drivers: the delineation of the “homo reciprocans” following the rediscovery of the “social animal”. Reverberating interchange: the dynamic of reciprocity unveiled in human choices. Socioeconomic disparity apprehension: a multidisciplinary exploration of inequality aversion. The role of conditional cooperation in contribution choices. Cognitively-infused economic analysis: the interplay of neural mechanisms and decisional paradigms in neuroeconomics. Exploring the impacts of artificial intelligence on behavioral economics: sculpting the conceptualization of “homo cyberneticus”. The evolutionary trajectory of artificial intelligence from Simon to its contemporary implementations within the cognitive domain. Revolutionizing behavioral economics: AI's role in refining behavioral tools. AI-powered strategies for mitigating cognitive bias in the workplace: a quantitative analysis.
References
Bibliografia: pp. 149-157.
| Thesis Type: | Master's Degree Thesis |
|---|---|
| Institution: | Luiss Guido Carli |
| Degree Program: | Master's Degree Programs > Master's Degree Program in Management, English language (LM-77) |
| Chair: | Managerial decision making |
| Thesis Supervisor: | Marengo, Luigi |
| Thesis Co-Supervisor: | Vitali, Luca |
| Academic Year: | 2022/2023 |
| Session: | Autumn |
| Deposited by: | Alessandro Perfetti |
| Date Deposited: | 21 May 2024 07:57 |
| Last Modified: | 21 May 2024 07:57 |
| URI: | https://tesi.luiss.it/id/eprint/38547 |
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