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

Aparecido do Carmo Alves, M., Varma, A., Elkhatib, Y. and Soriano Marcolino, L. (2022) AdLeap-MAS: An Open-source Multi-Agent Simulator for Ad-hoc Reasoning. In: 21st International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2022), Auckland, New Zealand, 9-13 May 2022, pp. 1893-1895. ISBN 9781450392136

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Publisher's URL: https://dl.acm.org/doi/10.5555/3535850.3536143

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.

Item Type:Conference Proceedings
Status:Published
Refereed:Yes
Glasgow Author(s) Enlighten ID:Elkhatib, Dr Yehia
Authors: Aparecido do Carmo Alves, M., Varma, A., Elkhatib, Y., and Soriano Marcolino, L.
College/School:College of Science and Engineering > School of Computing Science
ISBN:9781450392136
Copyright Holders:Copyright © 2022 International Foundation for Autonomous Agents and Multiagent Systems
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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