Herding Agents - JIAC TNG in Multi-Agent Programming Contest 2008

Authors:
Axel Hessler;Jan Keiser;Tobias Küster;Marcel Patzlaff;Alexander Thiele;Erdene-Ochir Tuguldur
Affiliations:
DAI-Labor, Technische Universität Berlin, Germany;DAI-Labor, Technische Universität Berlin, Germany;DAI-Labor, Technische Universität Berlin, Germany;DAI-Labor, Technische Universität Berlin, Germany;DAI-Labor, Technische Universität Berlin, Germany;DAI-Labor, Technische Universität Berlin, Germany
Venue:
Programming Multi-Agent Systems
Year:
2009

Citing 0
Cited 3

Herding cows with JIAC V

Annals of Mathematics and Artificial Intelligence
The multi-agent programming contest from 2005---2010

Annals of Mathematics and Artificial Intelligence
MOO--MicroJIAC agents operating oxen

Annals of Mathematics and Artificial Intelligence

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Abstract

Another essential problem of mankind must be solved in this year's agent contest: cow capturing. We present the JIAC approach to this problem by applying the iterative and incremental JIAC methodology and JIAC tools. The solution will be designed and implemented using the next generation of the JIAC agent framework that provides easier way of agent construction, but that is in early beta state. We admire this contest as an evaluation platform for our developments (like our last year's MicroJIAC team).