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Observation, Communication and Intelligence in Agent-Based Systems

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 9205))

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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.

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Author information

Authors and Affiliations

  1. Faculty of Information Technology, Monash University, Clayton, Australia

    Nader Chmait, David L. Dowe, David G. Green & Yuan-Fang Li

Authors
  1. Nader Chmait
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  2. David L. Dowe
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  3. David G. Green
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  4. Yuan-Fang Li
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Corresponding author

Correspondence to Nader Chmait .

Editor information

Editors and Affiliations

  1. Reykjavik University, Reykjavik, Iceland

    Jordi Bieger

  2. Hong Kong Polytechnic University, Hong Kong, Hong Kong SAR

    Ben Goertzel

  3. Mechanics and Optics, Saint Petersburg State University of Information Technologies, St. Petersburg, Russia

    Alexey Potapov

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© 2015 Springer International Publishing Switzerland

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Chmait, N., Dowe, D.L., Green, D.G., Li, YF. (2015). Observation, Communication and Intelligence in Agent-Based Systems. In: Bieger, J., Goertzel, B., Potapov, A. (eds) Artificial General Intelligence. AGI 2015. Lecture Notes in Computer Science(), vol 9205. Springer, Cham. https://doi.org/10.1007/978-3-319-21365-1_6

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  • DOI: https://doi.org/10.1007/978-3-319-21365-1_6

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21364-4

  • Online ISBN: 978-3-319-21365-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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