GMD-Robots

Bredenfeld, Ansgar; Christaller, Thomas; Guenther, Horst; Hermes, Jörg; Indiveri, Giovanni; Jaeger, Herbert; Kobialka, Hans-Ulrich; Plöger, Paul G.; Schoell, Peter; Siegberg, Andrea

doi:10.1007/3-540-45324-5_91

Cited by 1 publication

(1 citation statement)

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“…The RoboCup competition is an international research and educational initiative, [5][6][7] whose aim is to promote AI and robotics research by providing a standard challenge in addressing a wide range of technologies to ensure that they can be examined and integrated. RoboCup uses the soccer game as a primary domain, aiming at innovations that can later be applied to socially significant problems and industries.…”

Section: Related Workmentioning

confidence: 99%

Improving the programming skills of students in multiagent systems master courses

Palanca

Terrasa

Carrascosa

et al. 2019

Comp Applic In Engineering

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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.

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Section: Related Workmentioning

confidence: 99%