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Author: Debmalya Biswas

Affiliation: Wipro AI, Switzerland

Keyword(s): Multi-Agent Systems, Autonomous Agents, Discovery, Constraints, Composition, Marketplace.

Abstract: The recent advances in Generative AI have renewed the discussion around Auto-GPT, a form of autonomous agent that can execute complex tasks, e.g., make a sale, plan a trip, etc. We focus on the discovery aspect of agents, i.e., identifying the agent(s) capable of executing a given task. This implies that there exists a marketplace with a registry of agents - with a well-defined description of the agent capabilities and constraints. In this paper, we outline a constraints based model to specify agent services. We show how the constraints of a composite agent can be derived and described in a manner consistent with respect to the constraints of its component agents. Finally, we discuss approximate matchmaking, and show how the notion of bounded inconsistency can be exploited to discover agents more efficiently.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Biswas, D. (2024). Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking. In Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-680-4; ISSN 2184-433X, SciTePress, pages 396-403. DOI: 10.5220/0012461700003636

@conference{icaart24,
author={Debmalya Biswas.},
title={Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking},
booktitle={Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2024},
pages={396-403},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012461700003636},
isbn={978-989-758-680-4},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 16th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - Constraints Enabled Autonomous Agent Marketplace: Discovery and Matchmaking
SN - 978-989-758-680-4
IS - 2184-433X
AU - Biswas, D.
PY - 2024
SP - 396
EP - 403
DO - 10.5220/0012461700003636
PB - SciTePress