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Analyzing Map Features and Building Information for Disaster Response Using Agent-Based Simulations

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2011)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6883))

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Abstract

In this paper, we analyze the relationship between map features, including road networks and building information, and the evaluation of multi-agent simulations. In our previous paper, we have defined a movement difficulty for maps that use complexity indexes and have showed that the indexes form a relationship between the results of the multi-agent simulations and road maps[1,2]. In this paper, we define new indexes by considering the building information. We also perform an evaluation experiment to confirm the relationship between the indexes and the results of RoboCup Rescue simulations. The results show that the indexes contribute to the absolute evaluation of agents’ cooperative algorithm by considering their environmental dependency. This study in researching agents is absolutely imperative to encourage the development of robotomorphic cooperative agents which act on many kinds of environments.

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References

  1. Iwata, K., Ito, N., Kaneda, Y., Ishii, N.: Complexity of road networks as agents’ environments. In: Nguyen, N.T., Jo, G.-S., Howlett, R.J., Jain, L.C. (eds.) KES-AMSTA 2008. LNCS (LNAI), vol. 4953, pp. 474–484. Springer, Heidelberg (2008)

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  2. Iwata, K., Ito, N., Setoguchi, Y., Ishii, N.: Analyzing the relationship between complexity of road networks and mobile agents’ simulation. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds.) KES 2009. LNCS, vol. 5712, pp. 639–647. Springer, Heidelberg (2009)

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  3. Kinoshita, T., Sugawara, K.: Agent Oriented Computing. Foundation and Application of Agents. Soft Research Center (1995) (in Japanese)

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Author information

Authors and Affiliations

  1. Dept. of Business Administration, Aichi University, Japan

    Kazunori Iwata

  2. Dept. of Applied Information Science, Aichi Institute of Technology, Japan

    Nobuhiro Ito & Naohiro Ishii

  3. Dept. of Compute Science and Engineering, Nagoya Institute of Technology, Japan

    Hiroaki Koketsu

Authors
  1. Kazunori Iwata
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  2. Nobuhiro Ito
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  3. Hiroaki Koketsu
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  4. Naohiro Ishii
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Editor information

Editors and Affiliations

  1. Institute of Integrated Sensor Systems, University of Kaiserslautern, Erwin-Schroedinger-str. 12, 67663, Kaiserslautern, Germany

    Andreas König

  2. Knowledge-Based Systems Group, Department of Computer Science, University of Kaiserslautern, P.O. Box 3049, 67653, Kaiserslautern, Germany

    Andreas Dengel

  3. School of Business, University of Applied Sciences Northwestern Switzerland, Riggenbachstr. 16, 4600, Olten, Switzerland

    Knut Hinkelmann

  4. Graduate School of Engineering, Osaka Prefecture University, 1-1 Gakuen-cho, Sakai, 599-8531, Osaka, Japan

    Koichi Kise

  5. KES International, P.O. Box 2115, BN43 9AF, Shoreham-by-sea, UK

    Robert J. Howlett

  6. University of South Australia, Adelaide, 5095, Mawson Lakes, SA, Australia

    Lakhmi C. Jain

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© 2011 Springer-Verlag Berlin Heidelberg

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Iwata, K., Ito, N., Koketsu, H., Ishii, N. (2011). Analyzing Map Features and Building Information for Disaster Response Using Agent-Based Simulations. In: König, A., Dengel, A., Hinkelmann, K., Kise, K., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2011. Lecture Notes in Computer Science(), vol 6883. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23854-3_65

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  • DOI: https://doi.org/10.1007/978-3-642-23854-3_65

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23853-6

  • Online ISBN: 978-3-642-23854-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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