Ahmed M’hamdi
Biographic Data
| ID | 4988915 |
|---|---|
| NAME | Ahmed M’hamdi |
| GIVEN NAMES | Ahmed |
| FAMILY NAME | M’hamdi |
| SIGNATURE | M’HAMDI A |
| AFFILIATIONS | Université Ibn Zohr |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2013 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting student satisfaction in career choices using machine learning
Student satisfaction plays a crucial role in successful educational and career decision-making. This study investigates how artificial intelligence, specifically Support Vector Machine (SVM) models, can be used to predict student satisfaction with university choices by considering socio-economic, environmental, and cultural factors. An innovative hybrid approach is proposed, combining psychometric rigor with machine learning (ML) techniques to pr…
A Generic Agent-Based Model of Historical Social Behaviors Change
A Theoretical Agent‐Based Model to simulate an Artificial Social Evolution
Agent‐based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent‐based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their…
No prominent works on this page.
A Theoretical Agent‐Based Model to simulate an Artificial Social Evolution
Agent‐based social simulation as a computational approach to social simulation has been largely used to explore social phenomena. The purpose of this paper is to build a theoretical agent‐based model to simulate the social evolution of a set of agents/artificial societies. In this model, each agent (artificial society) has an available number of social behaviours that compete among each other. The agent/agent interactions are carried out by their…
A Generic Agent-Based Model of Historical Social Behaviors Change
Predicting student satisfaction in career choices using machine learning
Student satisfaction plays a crucial role in successful educational and career decision-making. This study investigates how artificial intelligence, specifically Support Vector Machine (SVM) models, can be used to predict student satisfaction with university choices by considering socio-economic, environmental, and cultural factors. An innovative hybrid approach is proposed, combining psychometric rigor with machine learning (ML) techniques to pr…
Agent-based model (2 works) · Artificial Intelligence (2 works) · Computer Science (2 works) · Evolutionary Game Theory and Cooperation (2 works) · Opinion Dynamics and Social Influence (2 works) · Social Simulation (2 works) · Agent-based social simulation (1 work) · Complex Network Analysis Techniques (1 work) · Customer Service Quality and Loyalty (1 work) · Data science (1 work)