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Collective representational content for shared extended mind

Authors:

Catholijn M. Jonker,

Martijn C. Schut,

Jan TreurAuthors Info & Claims

Cognitive Systems Research, Volume 7, Issue 2-3

Pages 151 - 174

https://doi.org/10.1016/j.cogsys.2005.11.007

Published: 01 June 2006 Publication History

Abstract

Some types of species exploit the external environment to support their cognitive processes, in the sense of patterns created in the environment that function as external mental states and serve as an extension to their mind. In the case of social species the creation and exploitation of such patterns can be shared, thus obtaining a form of shared mind or collective intelligence. This paper explores this shared extended mind principle for social species in more detail. The focus is on the notion of representational content in such cases. Proposals are put forward and formalised to define collective representational content for such shared external mental states. Two case studies in domains in which shared extended mind plays an important role are used as illustration. The first case study addresses the domain of social ant behaviour. The second case study addresses the domain of human communication via the environment. For both cases simulations are described, representation relations are specified and are verified against the simulated traces.

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Cited By

Hardisty AWorkman M(2024)A Collective Intelligence assembly approach to informing responsive net zero policy design: A greenhouse gas removal UK case studyCollective Intelligence10.1177/263391372412540993:2Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1177/26339137241254099
Suran SPattanaik VDraheim D(2020)Frameworks for Collective IntelligenceACM Computing Surveys10.1145/336898653:1(1-36)Online publication date: 6-Feb-2020
https://dl.acm.org/doi/10.1145/3368986
Dang DMazur ZHwang D(2020)A New Approach to Determine 2-Optimality Consensus for CollectivesTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices10.1007/978-3-030-55789-8_49(570-581)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-55789-8_49
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Published In

cover image Cognitive Systems Research

Cognitive Systems Research Volume 7, Issue 2-3

June, 2006

231 pages

ISSN:1389-0417

Issue’s Table of Contents

Copyright © Elsevier B.V. © 2006.

Publisher

Elsevier Science Publishers B. V.

Netherlands

Publication History

Published: 01 June 2006

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Cited By

Hardisty AWorkman M(2024)A Collective Intelligence assembly approach to informing responsive net zero policy design: A greenhouse gas removal UK case studyCollective Intelligence10.1177/263391372412540993:2Online publication date: 1-Apr-2024
https://dl.acm.org/doi/10.1177/26339137241254099
Suran SPattanaik VDraheim D(2020)Frameworks for Collective IntelligenceACM Computing Surveys10.1145/336898653:1(1-36)Online publication date: 6-Feb-2020
https://dl.acm.org/doi/10.1145/3368986
Dang DMazur ZHwang D(2020)A New Approach to Determine 2-Optimality Consensus for CollectivesTrends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices10.1007/978-3-030-55789-8_49(570-581)Online publication date: 22-Sep-2020
https://dl.acm.org/doi/10.1007/978-3-030-55789-8_49
Nguyen NNguyen VHwang DNguyen NNúñez MTrawiński B(2017)An influence analysis of the number of members on the quality of knowledge in a collectiveJournal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology10.3233/JIFS-16912132:2(1217-1228)Online publication date: 1-Jan-2017
https://dl.acm.org/doi/10.3233/JIFS-169121
Tian YCai G(2016)Collective Opinion Formation for Public Decision Making in Local GovernmentsProceedings of the 17th International Digital Government Research Conference on Digital Government Research10.1145/2912160.2912194(174-183)Online publication date: 8-Jun-2016
https://dl.acm.org/doi/10.1145/2912160.2912194
Maleszka MNguyen N(2015)Integration computing and collective intelligenceExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.07.03642:1(332-340)Online publication date: 1-Jan-2015
https://dl.acm.org/doi/10.1016/j.eswa.2014.07.036
Bosse TGerritsen CTreur J(2011)On the relation between cognitive and biological modelling of criminal behaviourComputers in Human Behavior10.1016/j.chb.2011.01.01027:5(1593-1611)Online publication date: 1-Sep-2011
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Bosse THoogendoorn MKlein MTreur J(2010)A three-dimensional abstraction framework to compare multi-agent system modelsProceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI10.5555/1947662.1947701(306-319)Online publication date: 10-Nov-2010
https://dl.acm.org/doi/10.5555/1947662.1947701
Bosse TSchut MTreur J(2009)Formal Analysis of Dynamics within Philosophy of Mind by Computer SimulationMinds and Machines10.1007/s11023-009-9177-z19:4(543-555)Online publication date: 1-Nov-2009
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Nguyen N(2008)INCONSISTENCY OF KNOWLEDGE AND COLLECTIVE INTELLIGENCECybernetics and Systems10.1080/0196972080218826839:6(542-562)Online publication date: 1-Aug-2008
https://dl.acm.org/doi/10.1080/01969720802188268

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