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Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation

Title	Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation
Author	Keskin, Mehmet Onur, Çakan, Umut, Aydoğan, Reyhan
Publication Date:	2021
Publication Place	- International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)
Subject	Emotional awareness, Human-agent negotiation, Human-robot interaction, Opponent behavior
Type	Document
Language	English
Digital	Yes
Manuscript	No
Library:	Özyeğin University
Library Asset ID	978-171383262-1
Record ID	886806ab-9b0d-4396-ac1a-9e5d16376d5b
Library Location	Computer Science
Date	2021
Notes	TÜBİTAK
Sample Text	Negotiation is one of the crucial processes for resolving conflicts between parties. In automated negotiation, agent designers mostly take opponent's offers and the remaining time into account while designing their strategies. While designing a negotiating agent interacting with a human directly, other information such as opponent's emotional changes during the negotiation can establish a better interaction and reach an admissible settlement for joint interests. Accordingly, this paper proposes a bidding strategy for humanoid robots, which incorporates their opponents' emotional states and awareness of the agent's changing behavior.
Cilt	3

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Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation

Author Keskin, Mehmet Onur, Çakan, Umut, Aydoğan, Reyhan

Publication Date 2021

Publication Place - International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS)

Subject Emotional awareness, Human-agent negotiation, Human-robot interaction, Opponent behavior

Type Document

Language English

Digital Yes

Manuscript No

Library Özyeğin University

Library Asset ID 978-171383262-1

Record ID 886806ab-9b0d-4396-ac1a-9e5d16376d5b

Library Location Computer Science

Date 2021

Notes TÜBİTAK

Sample Text Negotiation is one of the crucial processes for resolving conflicts between parties. In automated negotiation, agent designers mostly take opponent's offers and the remaining time into account while designing their strategies. While designing a negotiating agent interacting with a human directly, other information such as opponent's emotional changes during the negotiation can establish a better interaction and reach an admissible settlement for joint interests. Accordingly, this paper proposes a bidding strategy for humanoid robots, which incorporates their opponents' emotional states and awareness of the agent's changing behavior.

Cilt 3