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- Oggetto:
COMPLEXITY ECONOMICS AND AGENT-BASED MODELLING
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COMPLEXITY ECONOMICS AND AGENT-BASED MODELLING
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Anno accademico 2024/2025
- Codice attività didattica
- CPSO968
- Corso di studio
- Master's Degree Course in Economic analysis and policy
- Anno
- 1° anno
- Periodo
- Da definire
- Tipologia
- Affine/Integrativa
- Crediti/Valenza
- 6
- SSD attività didattica
- SECS-P/02 - politica economica
- Erogazione
- Tradizionale
- Lingua
- Inglese
- Frequenza
- Facoltativa
- Tipologia esame
- Orale
- Mutuato da
- Complexity economics (ECM0206)Corsi di Studio del Dipartimento di Economia e Statistica "Cognetti de Martiis"
- Complexity economics (ECM0206)
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Sommario insegnamento
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Obiettivi formativi
The course provides the ability to program an ABM and analyze its results.
Research centres and firms widely use agent-based simulations to study economic, social, and environmental processes.
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Risultati dell'apprendimento attesi
Acquiring Knowledge regarding:
- Basic programming skills in Netlogo
- Basic skill in ABM analysisDeveloping the ability to apply the acquired knowledge to the students' topics of interest. The course aims to develop skills to help students prepare for their final research thesis.
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Programma
The course is taught in English. The instructor provides the theoretical tools and then, together with students, develops examples of models.
The teacher will communicate via Moodle any change in the teaching activity due to Covid-2019.
All the models and materials used in class are available for students for further applications and exercises on the Moodle Platform.
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Modalità di insegnamento
The course is taught in English. The instructor provides the theoretical tools and then, together with students, develops examples of models.
All the models and materials used in class are available for students for further applications and exercises on the Moodle Platform.
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Modalità di verifica dell'apprendimento
The exam includes:
- An oral presentation (15-20 minutes) – 3 marks.
- A written “theory” paper(1 hour) – 15 marks.
- A modelling exercise using NetLogo (12 marks). Students should choose one Netlogo library model of their choice and modify it to address meaningful research questions. They should then produce a report structured in three parts:
- Motivation for the modification(s) introduced
- Description of how the modification(s) were introduced
- Presentation of the results.
Students can form teams of up to 3 individuals for their modelling exercise.
Bibliography for presentation, deadlines and details can be found on Moodle.
Testi consigliati e bibliografia
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- Libro
- Titolo:
- Agent-Based and Individual-Based Modeling. A practical Introduction
- Anno pubblicazione:
- 2019
- Editore:
- Princeton University Press
- Autore:
- Railsback, S.F., and Grimm, V.
- Obbligatorio:
- Si
- Oggetto:
Tutorial #1, #2, #3, Programming Guide, Behavior Space
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