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Author: Toshihiro Matsui

Affiliation: Nagoya Institute of Technology, Gokiso-cho Showa-ku Nagoya Aichi 466-8555, Japan

Keyword(s): Privacy, Decentralized, Multi-objective, Asymmetric Constraint Optimization, Multiagent, Negotiation.

Abstract: The control of revealed information from agents is an important issue in cooperative problem solving and negotiation in multi-agent systems. Research in automated negotiation agents and distributed constraint optimization problems address the privacy of agents. While several studies employ the secure computation that completely inhibits to access the information in solution process, a part of the information is necessary for selfish agents to understand the situation of an agreement. In this study, we address a decentralized framework where agents iteratively negotiate and gradually publish the information of their utilities that are employed to determine a solution of a constraint optimization problem among the agents. A benefit of the approach based on constraint optimization problems is its ability of formalization for general problems. We represent both problems to determine newly published information of utility values and to determine a solution based on published utility value s as decentralized asymmetric multi-objective constraint optimization problems. As the first study, we investigate the opportunities to design constraints that define simple strategies of agents to control the utility values to be published. For the objectives of individual agents, we also investigate the influence of several social welfare functions. We experimentally show the effect and influence of the heuristics of different criteria to select the published information of agents. (More)

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Paper citation in several formats:
Matsui, T. (2021). A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization. In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART; ISBN 978-989-758-484-8; ISSN 2184-433X, SciTePress, pages 149-159. DOI: 10.5220/0010349601490159

@conference{icaart21,
author={Toshihiro Matsui.},
title={A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART},
year={2021},
pages={149-159},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010349601490159},
isbn={978-989-758-484-8},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART
TI - A Study on Negotiation for Revealed Information with Decentralized Asymmetric Multi-objective Constraint Optimization
SN - 978-989-758-484-8
IS - 2184-433X
AU - Matsui, T.
PY - 2021
SP - 149
EP - 159
DO - 10.5220/0010349601490159
PB - SciTePress

- Science and Technology Publications, Lda.
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