GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest

Alexander Birch Jensen; Jørgen Villadsen

doi:10.1007/978-3-030-59299-8_4

GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest

Alexander Birch Jensen
, Jørgen Villadsen^*

^*Corresponding author for this work

Department of Applied Mathematics and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

Abstract

We provide a brief description of the GOAL-DTU system for the Multi-Agent Programming Contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluate the performance of our agents for the contest, and finally also discuss how to improve the system based on analysis of its strengths and weaknesses.

Original language	English
Title of host publication	The Multi-Agent Programming Contest 2019
Editors	Tobias Ahlbrecht, Jürgen Dix, Niklas Fiekas, Tabajara Krausburg
Publisher	Springer
Publication date	2020
Pages	79-105
ISBN (Print)	9783030592981
DOIs	https://doi.org/10.1007/978-3-030-59299-8_4
Publication status	Published - 2020
Event	14th Annual Multi-Agent Programming Contest - Clausthal, Germany Duration: 16 Oct 2019 → 16 Oct 2019 Conference number: 14

Conference

Conference	14th Annual Multi-Agent Programming Contest
Number	14
Country/Territory	Germany
City	Clausthal
Period	16/10/2019 → 16/10/2019

Series	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	12381 LNAI
ISSN	0302-9743

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Jensen, Alexander Birch ; Villadsen, Jørgen. / GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest. The Multi-Agent Programming Contest 2019. editor / Tobias Ahlbrecht ; Jürgen Dix ; Niklas Fiekas ; Tabajara Krausburg. Springer, 2020. pp. 79-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12381 LNAI).

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title = "GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest",

abstract = "We provide a brief description of the GOAL-DTU system for the Multi-Agent Programming Contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluate the performance of our agents for the contest, and finally also discuss how to improve the system based on analysis of its strengths and weaknesses.",

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doi = "10.1007/978-3-030-59299-8\_4",

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pages = "79--105",

editor = "Tobias Ahlbrecht and J{\"u}rgen Dix and Niklas Fiekas and Tabajara Krausburg",

booktitle = "The Multi-Agent Programming Contest 2019",

note = "14th Annual Multi-Agent Programming Contest, MAPC 2019 ; Conference date: 16-10-2019 Through 16-10-2019",

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Jensen, AB & Villadsen, J 2020, GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest. in T Ahlbrecht, J Dix, N Fiekas & T Krausburg (eds), The Multi-Agent Programming Contest 2019. Springer, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 12381 LNAI, pp. 79-105, 14th Annual Multi-Agent Programming Contest, Clausthal, Lower Saxony, Germany, 16/10/2019. https://doi.org/10.1007/978-3-030-59299-8_4

GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest. / Jensen, Alexander Birch; Villadsen, Jørgen.
The Multi-Agent Programming Contest 2019. ed. / Tobias Ahlbrecht; Jürgen Dix; Niklas Fiekas; Tabajara Krausburg. Springer, 2020. p. 79-105 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12381 LNAI).

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

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AB - We provide a brief description of the GOAL-DTU system for the Multi-Agent Programming Contest, including the overall strategy and how the system is designed to apply this strategy. Our agents are implemented using the GOAL programming language. We evaluate the performance of our agents for the contest, and finally also discuss how to improve the system based on analysis of its strengths and weaknesses.

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DO - 10.1007/978-3-030-59299-8_4

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T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

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BT - The Multi-Agent Programming Contest 2019

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Jensen AB, Villadsen J. GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest. In Ahlbrecht T, Dix J, Fiekas N, Krausburg T, editors, The Multi-Agent Programming Contest 2019. Springer. 2020. p. 79-105. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Vol. 12381 LNAI). doi: 10.1007/978-3-030-59299-8_4

GOAL-DTU: Development of Distributed Intelligence for the Multi-Agent Programming Contest

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