Analysis of a Human Meta-Strategy for Agents with Active and Passive Strategies

Bibliographic Details
Title: Analysis of a Human Meta-Strategy for Agents with Active and Passive Strategies
Authors: Kensuke Miyamoto, Norifumi Watanabe, Osamu Nakamura, Yoshiyasu Takefuji
Source: Applied Sciences, Vol 12, Iss 17, p 8720 (2022)
Publisher Information: MDPI AG, 2022.
Publication Year: 2022
Collection: LCC:Technology
LCC:Engineering (General). Civil engineering (General)
LCC:Biology (General)
LCC:Physics
LCC:Chemistry
Subject Terms: Meta-Strategy, human action measurement experiment, collision avoidance, agent model, Technology, Engineering (General). Civil engineering (General), TA1-2040, Biology (General), QH301-705.5, Physics, QC1-999, Chemistry, QD1-999
More Details: Human cooperative behavior includes passive action strategies based on others and active action strategies that prioritize one’s own objective. Therefore, for cooperation with humans, it is necessary to realize a robot that uses these strategies to communicate as a human would. In this research, we aim to realize robots that evaluate the actions of their opponents in comparison with their own action strategies. In our previous work, we obtained a Meta-Strategy with two action strategies through the simulation of learning between agents. However, humans’ Meta-Strategies may have different characteristics depending on the individual in question. In this study, we conducted a collision avoidance experiment in a grid space with agents with active and passive strategies for giving way. In addition, we analyzed whether a subject’s action changes when the agent’s strategy changes. The results showed that some subjects changed their actions in response to changes in the agent’s strategy, as well as subjects who behaved in a certain way regardless of the agent’s strategy and subjects who did not divide their actions. We considered that these types could be expressed in terms of differences in Meta-Strategies, such as active or passive Meta-Strategies for estimating an opponent’s strategy. Assuming a human Meta-Strategy, we discuss the action strategies of agents who can switch between active and passive strategies.
Document Type: article
File Description: electronic resource
Language: English
ISSN: 2076-3417
Relation: https://www.mdpi.com/2076-3417/12/17/8720; https://doaj.org/toc/2076-3417
DOI: 10.3390/app12178720
Access URL: https://doaj.org/article/de4ed243c0594a09b9c87a0830c26094
Accession Number: edsdoj.4ed243c0594a09b9c87a0830c26094
Database: Directory of Open Access Journals
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More Details
ISSN:20763417
DOI:10.3390/app12178720
Published in:Applied Sciences
Language:English