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Improving the programming skills of students in multiagent systems master courses
Author(s) -
Palanca Javier,
Terrasa Andrés,
Carrascosa Carlos,
Julián Vicente
Publication year - 2019
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.22113
Subject(s) - computer science , implementation , context (archaeology) , order (exchange) , simple (philosophy) , software engineering , mathematics education , engineering management , multimedia , engineering , psychology , paleontology , philosophy , finance , epistemology , economics , biology
Multiagent systems (MASs) courses are nowadays present in most master's degrees in Artificial Intelligence. In such courses, students have to cope with the gap between some high‐level theoretical concepts and techniques that allow agents to reach agreements in order successfully cooperate (the so‐called Agreement Technologies) and their corresponding implementations to be used in real programs. If the learning outcomes of such courses include the development of actual (although reasonably simple) MASs, the incorporation of some strategy to make students enhance their initial programming skills becomes crucial for their success. In this context, this article presents both a tool called SimFleet and a teaching methodology that have been designed together to guide students throughout a typical MASs course and, specifically, to enhance their programming skills in order learn how to develop actual MASs.