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  1. Transactions on Autonomous and Adaptive Systems (TAAS)
  2. ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11
  3. Issue 2(Special Section on Best Papers from SASO 2014 and Regular Articles), July 2016
  4. Group Norms for Multi-Agent Organisations
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ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 11
Issue 3, September 2016
Issue 2(Special Section on Best Papers from SASO 2014 and Regular Articles), July 2016
SASO 2014: Selected, Revised, and Extended Best Papers
Artificial Immunology for Collective Adaptive Systems Design and Implementation
Controlling Negative Emergent Behavior by Graph Analysis at Runtime
Modeling Robot Swarms Using Integrals of Birth-Death Processes
Controlling Large-Scale Self-Organized Networks with Lightweight Cost for Fast Adaptation to Changing Environments
Trust-Based Decision Making in a Self-Adaptive Agent Organization
A Support System for Clustering Data Streams with a Variable Number of Clusters
Distributed Multirobot Formation and Tracking Control in Cluttered Environments
A Game-Theoretic Approach for Elastic Distributed Data Stream Processing
Transparent and Efficient Parallelization of Swarm Algorithms
Group Norms for Multi-Agent Organisations
Issue 1, April 2016
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 10
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 9
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 8
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 7
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 6
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 5
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 4
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 3
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 2
ACM Transactions on Autonomous and Adaptive Systems (TAAS) : Volume 1

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Group Norms for Multi-Agent Organisations

Content Provider ACM Digital Library
Author Dignum, Virginia Vasconcelos, Wamberto W. Aldewereld, Huib
Copyright Year 2016
Abstract Normative multi-agent systems offer the ability to integrate social and individual factors to provide increased levels of fidelity with respect to modelling social phenomena, such as cooperation, coordination, group decision making, and organization, in both human and artificial agent systems. An important open research issue refers to group norms, that is, norms that govern groups of agents. Depending on the interpretation, group norms may be intended to affect the group as a whole, each member of a group, or some members of the group. Moreover, upholding group norms may require coordination among the members of the group. We have identified three sets of agents affected by group norms, namely, (i) the addressees of the norm, (ii) those that will act on it, and (iii) those that are responsible for ensuring norm compliance. We present a formalism to represent these, connecting it to a minimalist agent organisation model. We use our formalism to develop a reasoning mechanism that enables agents to identify their position with respect to a group norm to further support agent autonomy and coordination when deciding on possible courses of action.
Starting Page 1
Ending Page 31
Page Count 31
File Format PDF
ISSN 15564665
e-ISSN 15564703
DOI 10.1145/2882967
Volume Number 11
Issue Number 2
Journal ACM Transactions on Autonomous and Adaptive Systems (TAAS)
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2016-06-06
Publisher Place New York
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Norms Norm reasoning Organisation
Content Type Text
Resource Type Article
Subject Control and Systems Engineering Software
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