Observation, communication and intelligence in agent-based systems

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

    6 Citations (Scopus)

    Abstract

    The intelligence of multiagent systems is known to depend
    on the communication and observation abilities of its agents. However
    it is not clear which factor has the greater influence. By following an information-theoretical approach, this study quantifies and analyzes the impact of these two factors on the intelligence of multiagent systems. Using machine intelligence tests, we evaluate and compare the performance of collaborative agents across different communication and observation abilities of measurable entropies. Results show that the effectiveness of multiagent systems with low observation/perception abilities can be significantly improved by using high communication entropies within the agents in the system. We also identify circumstances where these assumptions fail, and analyze the dependency between the studied factors.
    Original languageEnglish
    Title of host publicationArtificial General Intelligence: 8th International Conference, AGI 2015
    EditorsJordi Bieger, Ben Goertzel, Alexey Potapov
    Place of PublicationCham Switzerland
    PublisherSpringer
    Pages50-59
    Number of pages10
    ISBN (Print)9783319213644
    DOIs
    Publication statusPublished - 2015
    EventConference on Artificial General Intelligence (AGI) 2015 - Berlin, Germany
    Duration: 22 Jul 201525 Jul 2015
    Conference number: 8th
    http://agi-conf.org/2015/

    Conference

    ConferenceConference on Artificial General Intelligence (AGI) 2015
    Abbreviated titleAGI 2015
    CountryGermany
    CityBerlin
    Period22/07/1525/07/15
    Internet address

    Cite this

    Chmait, N., Dowe, D. L., Green, D. G., & Li, Y-F. (2015). Observation, communication and intelligence in agent-based systems. In J. Bieger, B. Goertzel, & A. Potapov (Eds.), Artificial General Intelligence: 8th International Conference, AGI 2015 (pp. 50-59). Cham Switzerland: Springer. https://doi.org/10.1007/978-3-319-21365-1_6
    Chmait, Nader ; Dowe, David L. ; Green, David G. ; Li, Yuan-Fang. / Observation, communication and intelligence in agent-based systems. Artificial General Intelligence: 8th International Conference, AGI 2015. editor / Jordi Bieger ; Ben Goertzel ; Alexey Potapov. Cham Switzerland : Springer, 2015. pp. 50-59
    @inproceedings{f05576e0d8324183888f80220a9a6f63,
    title = "Observation, communication and intelligence in agent-based systems",
    abstract = "The intelligence of multiagent systems is known to dependon the communication and observation abilities of its agents. Howeverit is not clear which factor has the greater influence. By following an information-theoretical approach, this study quantifies and analyzes the impact of these two factors on the intelligence of multiagent systems. Using machine intelligence tests, we evaluate and compare the performance of collaborative agents across different communication and observation abilities of measurable entropies. Results show that the effectiveness of multiagent systems with low observation/perception abilities can be significantly improved by using high communication entropies within the agents in the system. We also identify circumstances where these assumptions fail, and analyze the dependency between the studied factors.",
    author = "Nader Chmait and Dowe, {David L.} and Green, {David G.} and Yuan-Fang Li",
    year = "2015",
    doi = "10.1007/978-3-319-21365-1_6",
    language = "English",
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    Chmait, N, Dowe, DL, Green, DG & Li, Y-F 2015, Observation, communication and intelligence in agent-based systems. in J Bieger, B Goertzel & A Potapov (eds), Artificial General Intelligence: 8th International Conference, AGI 2015. Springer, Cham Switzerland, pp. 50-59, Conference on Artificial General Intelligence (AGI) 2015, Berlin, Germany, 22/07/15. https://doi.org/10.1007/978-3-319-21365-1_6

    Observation, communication and intelligence in agent-based systems. / Chmait, Nader; Dowe, David L.; Green, David G.; Li, Yuan-Fang.

    Artificial General Intelligence: 8th International Conference, AGI 2015. ed. / Jordi Bieger; Ben Goertzel; Alexey Potapov. Cham Switzerland : Springer, 2015. p. 50-59.

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

    TY - GEN

    T1 - Observation, communication and intelligence in agent-based systems

    AU - Chmait, Nader

    AU - Dowe, David L.

    AU - Green, David G.

    AU - Li, Yuan-Fang

    PY - 2015

    Y1 - 2015

    N2 - The intelligence of multiagent systems is known to dependon the communication and observation abilities of its agents. Howeverit is not clear which factor has the greater influence. By following an information-theoretical approach, this study quantifies and analyzes the impact of these two factors on the intelligence of multiagent systems. Using machine intelligence tests, we evaluate and compare the performance of collaborative agents across different communication and observation abilities of measurable entropies. Results show that the effectiveness of multiagent systems with low observation/perception abilities can be significantly improved by using high communication entropies within the agents in the system. We also identify circumstances where these assumptions fail, and analyze the dependency between the studied factors.

    AB - The intelligence of multiagent systems is known to dependon the communication and observation abilities of its agents. Howeverit is not clear which factor has the greater influence. By following an information-theoretical approach, this study quantifies and analyzes the impact of these two factors on the intelligence of multiagent systems. Using machine intelligence tests, we evaluate and compare the performance of collaborative agents across different communication and observation abilities of measurable entropies. Results show that the effectiveness of multiagent systems with low observation/perception abilities can be significantly improved by using high communication entropies within the agents in the system. We also identify circumstances where these assumptions fail, and analyze the dependency between the studied factors.

    U2 - 10.1007/978-3-319-21365-1_6

    DO - 10.1007/978-3-319-21365-1_6

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    A2 - Potapov, Alexey

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    Chmait N, Dowe DL, Green DG, Li Y-F. Observation, communication and intelligence in agent-based systems. In Bieger J, Goertzel B, Potapov A, editors, Artificial General Intelligence: 8th International Conference, AGI 2015. Cham Switzerland: Springer. 2015. p. 50-59 https://doi.org/10.1007/978-3-319-21365-1_6