UID:
almahu_9948689698102882
Format:
XII, 181 p. 45 illus., 33 illus. in color.
,
online resource.
Edition:
1st ed. 2021.
ISBN:
9783030723767
Series Statement:
Lecture Notes in Artificial Intelligence ; 12298
Content:
This book constitutes the thoroughly refereed post-conference proceedings of the International Workshop on Coordination, Organizations, Institutions, and Norms for Governance of Multi-Agent Systems, COIN 2017, co-located with AAMAS 2017, and the International Workshop on Coordination, Organizations, Institutions, Norms and Ethics for Governance of Multi-Agent Systems, COINE 2020, co-located with AAMAS 2020. The COIN 2017 workshop was held in Sao Paulo, Brazil, in May 2017 and the COINE 2020 workshop was held virtually, in May 2020. The 9 full papers and 1 short paper were carefully reviewed and selected from a total of 20 submissions for inclusion in this volume and cover the following topics: empirical applications of COINE technologies; emergence and social metrics; and conceptual frameworks and architectures.
Note:
Norm conflict identification using a convolutional neural network -- Norm violation in online communities - A study of stack overflow comments -- Mining international political norms from the GDELT database -- Developers' responses to app review feedback - A study of communication norms in app development -- Convention emergence in partially observable topologies -- Improving confidence in the estimation of values and norms -- Should I tear down this wall? Optimizing social metrics by evaluating novel actions -- Impact of different belief facets on agents' decision - a refined cognitive architecture to model the interaction between organisations' institutional characteristics and agents' behaviour -- A norm emergence framework for normative MAS -- Social rules for agent systems.
In:
Springer Nature eBook
Additional Edition:
Printed edition: ISBN 9783030723750
Additional Edition:
Printed edition: ISBN 9783030723774
Language:
English
DOI:
10.1007/978-3-030-72376-7
URL:
https://doi.org/10.1007/978-3-030-72376-7
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