Factors of collective intelligence

How smart are agent collectives?

Nader Chmait, David L. Dowe, Yuan-Fang Li, David G. Green, Javier Insa-Cabrera

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

    Abstract

    The dynamics and characteristics behind intelligent cognitive systems lie at the heart of understanding, and devising, successful solutions to a variety of multiagent problems. Despite the extant literature on collective intelligence, important questions like “how does the effectiveness of a collective compare to its isolated members?” and “are there some general rules or properties shaping the spread of intelligence across various cognitive systems and environments?” remain somewhat of a mystery. In this paper we develop the idea of collective intelligence by giving some insight into a range of factors hindering and influencing the effectiveness of interactive cognitive systems. We measure the influence of each examined factor on intelligence independently, and empirically show that collective intelligence is a function of them all simultaneously. We further investigate how the organisational structure of equally sized groups shapes their effectiveness. The outcome is fundamental to the understanding and prediction of the collective performance of multiagent systems, and for quantifying the emergence of intelligence over different environmental settings.
    Original languageEnglish
    Title of host publicationECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016)
    Subtitle of host publicationProceedings : Part 1/Part 2
    EditorsGal A. Kaminka, Maria Fox, Paolo Bouquet, Eyke Hullemeier, Virginia Dignum, Frank Dignum, Frank van Harmelen
    Place of PublicationNetherlands
    PublisherIOS Press
    Pages542-550
    Number of pages9
    ISBN (Electronic)9781614996729
    ISBN (Print)9781614996712
    DOIs
    Publication statusPublished - 2016
    EventEuropean Conference on Artificial Intelligence 2016 - The Hague, Netherlands
    Duration: 29 Aug 20162 Sep 2016
    Conference number: 22nd
    http://www.ecai2016.org/

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    PublisherIOS Press
    Volume285
    ISSN (Print)0922-6389
    ISSN (Electronic)1879-8314

    Conference

    ConferenceEuropean Conference on Artificial Intelligence 2016
    Abbreviated titleECAI 2016
    CountryNetherlands
    CityThe Hague
    Period29/08/162/09/16
    Internet address

    Cite this

    Chmait, N., Dowe, D. L., Li, Y-F., Green, D. G., & Insa-Cabrera, J. (2016). Factors of collective intelligence: How smart are agent collectives? In G. A. Kaminka, M. Fox, P. Bouquet, E. Hullemeier, V. Dignum, F. Dignum, & F. V. Harmelen (Eds.), ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2 (pp. 542-550). (Frontiers in Artificial Intelligence and Applications; Vol. 285). Netherlands: IOS Press. https://doi.org/10.3233/978-1-61499-672-9-542
    Chmait, Nader ; Dowe, David L. ; Li, Yuan-Fang ; Green, David G. ; Insa-Cabrera, Javier. / Factors of collective intelligence : How smart are agent collectives?. ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2. editor / Gal A. Kaminka ; Maria Fox ; Paolo Bouquet ; Eyke Hullemeier ; Virginia Dignum ; Frank Dignum ; Frank van Harmelen. Netherlands : IOS Press, 2016. pp. 542-550 (Frontiers in Artificial Intelligence and Applications).
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    title = "Factors of collective intelligence: How smart are agent collectives?",
    abstract = "The dynamics and characteristics behind intelligent cognitive systems lie at the heart of understanding, and devising, successful solutions to a variety of multiagent problems. Despite the extant literature on collective intelligence, important questions like “how does the effectiveness of a collective compare to its isolated members?” and “are there some general rules or properties shaping the spread of intelligence across various cognitive systems and environments?” remain somewhat of a mystery. In this paper we develop the idea of collective intelligence by giving some insight into a range of factors hindering and influencing the effectiveness of interactive cognitive systems. We measure the influence of each examined factor on intelligence independently, and empirically show that collective intelligence is a function of them all simultaneously. We further investigate how the organisational structure of equally sized groups shapes their effectiveness. The outcome is fundamental to the understanding and prediction of the collective performance of multiagent systems, and for quantifying the emergence of intelligence over different environmental settings.",
    author = "Nader Chmait and Dowe, {David L.} and Yuan-Fang Li and Green, {David G.} and Javier Insa-Cabrera",
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    Chmait, N, Dowe, DL, Li, Y-F, Green, DG & Insa-Cabrera, J 2016, Factors of collective intelligence: How smart are agent collectives? in GA Kaminka, M Fox, P Bouquet, E Hullemeier, V Dignum, F Dignum & FV Harmelen (eds), ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2. Frontiers in Artificial Intelligence and Applications, vol. 285, IOS Press, Netherlands, pp. 542-550, European Conference on Artificial Intelligence 2016, The Hague, Netherlands, 29/08/16. https://doi.org/10.3233/978-1-61499-672-9-542

    Factors of collective intelligence : How smart are agent collectives? / Chmait, Nader; Dowe, David L.; Li, Yuan-Fang; Green, David G.; Insa-Cabrera, Javier.

    ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2. ed. / Gal A. Kaminka; Maria Fox; Paolo Bouquet; Eyke Hullemeier; Virginia Dignum; Frank Dignum; Frank van Harmelen. Netherlands : IOS Press, 2016. p. 542-550 (Frontiers in Artificial Intelligence and Applications; Vol. 285).

    Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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    AU - Li, Yuan-Fang

    AU - Green, David G.

    AU - Insa-Cabrera, Javier

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    N2 - The dynamics and characteristics behind intelligent cognitive systems lie at the heart of understanding, and devising, successful solutions to a variety of multiagent problems. Despite the extant literature on collective intelligence, important questions like “how does the effectiveness of a collective compare to its isolated members?” and “are there some general rules or properties shaping the spread of intelligence across various cognitive systems and environments?” remain somewhat of a mystery. In this paper we develop the idea of collective intelligence by giving some insight into a range of factors hindering and influencing the effectiveness of interactive cognitive systems. We measure the influence of each examined factor on intelligence independently, and empirically show that collective intelligence is a function of them all simultaneously. We further investigate how the organisational structure of equally sized groups shapes their effectiveness. The outcome is fundamental to the understanding and prediction of the collective performance of multiagent systems, and for quantifying the emergence of intelligence over different environmental settings.

    AB - The dynamics and characteristics behind intelligent cognitive systems lie at the heart of understanding, and devising, successful solutions to a variety of multiagent problems. Despite the extant literature on collective intelligence, important questions like “how does the effectiveness of a collective compare to its isolated members?” and “are there some general rules or properties shaping the spread of intelligence across various cognitive systems and environments?” remain somewhat of a mystery. In this paper we develop the idea of collective intelligence by giving some insight into a range of factors hindering and influencing the effectiveness of interactive cognitive systems. We measure the influence of each examined factor on intelligence independently, and empirically show that collective intelligence is a function of them all simultaneously. We further investigate how the organisational structure of equally sized groups shapes their effectiveness. The outcome is fundamental to the understanding and prediction of the collective performance of multiagent systems, and for quantifying the emergence of intelligence over different environmental settings.

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    T3 - Frontiers in Artificial Intelligence and Applications

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    BT - ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016)

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    A2 - Fox, Maria

    A2 - Bouquet, Paolo

    A2 - Hullemeier, Eyke

    A2 - Dignum, Virginia

    A2 - Dignum, Frank

    A2 - Harmelen, Frank van

    PB - IOS Press

    CY - Netherlands

    ER -

    Chmait N, Dowe DL, Li Y-F, Green DG, Insa-Cabrera J. Factors of collective intelligence: How smart are agent collectives? In Kaminka GA, Fox M, Bouquet P, Hullemeier E, Dignum V, Dignum F, Harmelen FV, editors, ECAI 2016, 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, Including, Prestigious Applications of Artificial Intellence (PAIS 2016): Proceedings : Part 1/Part 2. Netherlands: IOS Press. 2016. p. 542-550. (Frontiers in Artificial Intelligence and Applications). https://doi.org/10.3233/978-1-61499-672-9-542