- FACULTY and STAFF
- RESEARCH AREAS
- APPLY NOW
- GIVE TODAY
Graduate Course Information
ECE 508 Agent-Based Simulation
UA Catalog Description: http://catalog.arizona.edu/allcats.html
Grading Policy: Typically: 25% Final Exam, 75% Project.
Course Summary: This course introduces the students to the concept of agents, multi-agent systems, and agent-based simulation; the key issues associated with constructing agents, building and implementing models; the main approaches to developing agent-based simulation systems; NetLogo and other contemporary platforms for implementing agent-based simulation; the main application areas of agent-based simulation.
Most importantly, the students will be able to develop meaningful agent-based systems.
and Individual-Based Modeling: A Practical Introduction”
by Steven F. Railsback & Volker Grimm. Princeton University Press, 2011.
Agents, objects, distributed systems.
Multi-agent nonlinear stochastic systems.
Agent personalities. Mobile agents.
History of multi-agent systems research.
Distributed Artificial Intelligence.
Agent simulation as a tool for understanding human societies. Social networks and dilemmas.
Agent simulation in Game Theory, Economics, Biology, Sociology, Political Science, etc.
Design and implementation of multi-agent models.
Computational techniques for agent-based simulation.
Using NetLogo to implement and analyze agent-based models.
Agent simulation design methodologies.
Platforms for implementing agent-based simulation.
Pitfalls of agent development.
Applications of agent systems to real-life problems.
Lecture: 150 minutes/week