course-details-portlet

IØ8814 - Agent-based modelling in the interface between economics and behavioral psychology

About

Examination arrangement

Examination arrangement: Work
Grade: Passed / Not Passed

Evaluation Weighting Duration Grade deviation Examination aids
Work 100/100

Course content

Agent-based modelling in the interface between economics and behavioral psychology is an intensive PhD course offered through the project "COMPutational economics and optimization - Agents, Machines and Artificial intelligence" (COMPAMA). COMPAMA is developing an emerging interdisciplinary area in the borderland between economics, optimization, psychology, machine learning and AI with the main purpose to understand the economic impact of decisions, made by both machines and human agents.

This course will give an overview of agent-based modelling (ABM). It will start exploring the need for this type of models, its complexity and predictability. The course will address social networks and socio ecological systems, including a discussion about modelling human behavior. The connection with behavior economics will be presented. Finally, the challenges in using ABM and the ethics of using artificial populations will be highlighted.

Learning outcome

After having completed the course the candidate should be able to:

  • have a basic understanding of the principles of complex systems and their unpredictability;
  • understand the principles of self-organisation, emergence and downward causation in the context of agent-based modelling (ABM).
  • identify different domains in which ABM of social systems can be applied;
  • elaborate on the basic social scientific and psychological mechanisms that are important in social dynamics, and how to implement them in ABM;
  • recognize the challenges of ABM regarding validation and ethics.

Learning methods and activities

Lectures. Participation in the seminars is expected, which includes attendance at all lectures, as well as contributions to the discussions. There will be compulsory activities in the course.

Compulsory assignments

  • Mandatory

Required previous knowledge

Admission to a PhD programme within the fields of psychology, social sciences, operations research, economics, or similar.

Course materials

Selected literature. Will be given at course start-up.

More on the course

Facts

Version: 1
Credits:  2.5 SP
Study level: Doctoral degree level

Coursework

Term no.: 1
Teaching semester:  AUTUMN 2024

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Managerial Economics, Finance and Operations Research
  • Industrial Economics and Technology Management
  • Business Economics
  • Social Sciences and Psychology
  • Economics
  • Economics
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Industrial Economics and Technology Management

Timetable

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Calendar view

Examination

Examination arrangement: Work

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Autumn ORD Work 100/100

Submission
2024-11-01


23:59

INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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