Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises

Dilyana Budakova, Veselka Petrova-Dimitrova, Lyudmil Dakovski

Abstract

In this paper a new Smart Broker Learning Agent (SBLA) has been proposed, which trains to find the most acceptable solution to a given problem, according to the individual requirements and emotions of a particular user. For this purpose, a new structure of the agent has been proposed and reinforcement-learning algorithm has been used. When the scenarios and criteria under consideration are complex, and when mixed emotions arise, it may be necessary to compromise on certain criteria in order to achieve the goal. Then knowledge of the preferences and emotions of the particular user is needed. In these cases, the SBLA does not allow compromises that are unacceptable to this user. The structure and the way of acting of the agent have been considered. The knowledge that the SBLA must have and the process of its formation have been described. The scenarios for solving a specific task and the conducted experiments have been presented. Some contributions, arising from the use of the proposed agent’s architecture have been discussed, such as: the opportunity for the agent to explain decisions; to offer the most appropriate solution for each specific user; to avoid unacceptable compromises, to have empathy, and the greater approval of the offered solutions.

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Paper Citation


in Harvard Style

Budakova D., Petrova-Dimitrova V. and Dakovski L. (2021). Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises.In Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART, ISBN 978-989-758-484-8, pages 181-188. DOI: 10.5220/0010186901810188


in Bibtex Style

@conference{icaart21,
author={Dilyana Budakova and Veselka Petrova-Dimitrova and Lyudmil Dakovski},
title={Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises},
booktitle={Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,},
year={2021},
pages={181-188},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010186901810188},
isbn={978-989-758-484-8},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Conference on Agents and Artificial Intelligence - Volume 1: ICAART,
TI - Smart Broker Agent Learning How to Reach Appropriate Goal by Making Appropriate Compromises
SN - 978-989-758-484-8
AU - Budakova D.
AU - Petrova-Dimitrova V.
AU - Dakovski L.
PY - 2021
SP - 181
EP - 188
DO - 10.5220/0010186901810188