Teaching Intelligent Agents using NetLogo
نویسندگان
چکیده
In the context of an Agent and Multi-Agent Systems course, satisfying the students demands for hands-on practice presents an interesting challenge. Educators have reported a variety of environments and techniques they use in order to increase active learning. In this paper we record our experience using NetLogo as part of the practical coursework that students need to carry out within an Intelligent Agents course. We argue that NetLogo meets most of the requirements that suit our criteria. In addition, we describe two extra NetLogo libraries provided to students, one for BDI-like agents (goal-oriented agents) and one for ACL-like (Agent Communication Language) communication. We present a few scenarios that we use in coursework handouts and how the partially developed environment we provide for each scenario facilitates practical agent design and simulation, thus satisfying the learning outcomes of the practical work and the course as a whole.
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