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  • alves2022adleapmas

    Rights statement: © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022 http://doi.acm.org/10.1145/3535850.3536143

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AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track. / do Carmo Alves, Matheus Aparecido; Varma, Amokh; Elkhatib, Yehia et al.
AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. New York: ACM, 2022. p. 1893-1895.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

do Carmo Alves, MA, Varma, A, Elkhatib, Y & Soriano Marcolino, L 2022, AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track. in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. ACM, New York, pp. 1893-1895, International Conference on Autonomous Agents and Multiagent Systems 2022, Aukland, New Zealand, 9/05/22. https://doi.org/10.5555/3535850.3536143

APA

do Carmo Alves, M. A., Varma, A., Elkhatib, Y., & Soriano Marcolino, L. (2022). AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems (pp. 1893-1895). ACM. https://doi.org/10.5555/3535850.3536143

Vancouver

do Carmo Alves MA, Varma A, Elkhatib Y, Soriano Marcolino L. AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track. In AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. New York: ACM. 2022. p. 1893-1895 doi: 10.5555/3535850.3536143

Author

do Carmo Alves, Matheus Aparecido ; Varma, Amokh ; Elkhatib, Yehia et al. / AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning : Demonstration Track. AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems. New York : ACM, 2022. pp. 1893-1895

Bibtex

@inproceedings{18de565de0b242c7abeda1db9ccd2624,
title = "AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning: Demonstration Track",
abstract = "Ad-hoc reasoning models are recurrently used to solve some of our daily tasks. Intending to avoid worthless investments or spend valuable resources, these smart systems requires a proper evaluation before acting in the real-world. In this paper, we demonstrate AdLeap-MAS, a novel framework focused on enabling quick and easy testing of smart algorithms in ad-hoc reasoning domains. ",
keywords = "Simulation Framework, Open-source, Ad-hoc Reasoning, Online Planning, Autonomous Systems",
author = "{do Carmo Alves}, {Matheus Aparecido} and Amokh Varma and Yehia Elkhatib and {Soriano Marcolino}, Leandro",
note = "{\textcopyright} ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022 http://doi.acm.org/10.1145/3535850.3536143; International Conference on Autonomous Agents and Multiagent Systems 2022, AAMAS 2022 ; Conference date: 09-05-2022 Through 13-05-2022",
year = "2022",
month = may,
day = "9",
doi = "10.5555/3535850.3536143",
language = "English",
pages = "1893--1895",
booktitle = "AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems",
publisher = "ACM",
url = "https://aamas2022-conference.auckland.ac.nz/",

}

RIS

TY - GEN

T1 - AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning

T2 - International Conference on Autonomous Agents and Multiagent Systems 2022

AU - do Carmo Alves, Matheus Aparecido

AU - Varma, Amokh

AU - Elkhatib, Yehia

AU - Soriano Marcolino, Leandro

N1 - © ACM, 2022. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022 http://doi.acm.org/10.1145/3535850.3536143

PY - 2022/5/9

Y1 - 2022/5/9

N2 - Ad-hoc reasoning models are recurrently used to solve some of our daily tasks. Intending to avoid worthless investments or spend valuable resources, these smart systems requires a proper evaluation before acting in the real-world. In this paper, we demonstrate AdLeap-MAS, a novel framework focused on enabling quick and easy testing of smart algorithms in ad-hoc reasoning domains.

AB - Ad-hoc reasoning models are recurrently used to solve some of our daily tasks. Intending to avoid worthless investments or spend valuable resources, these smart systems requires a proper evaluation before acting in the real-world. In this paper, we demonstrate AdLeap-MAS, a novel framework focused on enabling quick and easy testing of smart algorithms in ad-hoc reasoning domains.

KW - Simulation Framework

KW - Open-source

KW - Ad-hoc Reasoning

KW - Online Planning

KW - Autonomous Systems

U2 - 10.5555/3535850.3536143

DO - 10.5555/3535850.3536143

M3 - Conference contribution/Paper

SP - 1893

EP - 1895

BT - AAMAS '22: Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems

PB - ACM

CY - New York

Y2 - 9 May 2022 through 13 May 2022

ER -