Language Design for Rescue Agents

  • Itsuki Noda
  • Tomoichi Takahashi
  • Shuji Morita
  • Tetsuhiko Koto
  • Satoshi Tadokoro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2362)


We are proposing a model of communication and a specification of a language for civilian agents in RoboCup Rescue Simulation System.

Robust information systems are critical infrastructures for rescue activities in huge disasters. In order to simulate (and evaluate) a certain rescue information system, we need to design abstract model of agents’ communication, which is an important factor to affect the performance of the rescue activities. Especially communication among civilians, who are the majority in damaged area, will be the primary information source for rescue agents.

In order to build the abstract model, we design “four layers model of communication”, which consists of knowledge, attention, device, and transmission layers. Using the model, we can discuss and implement uncertainty and effectiveness of various communication method including mobile phones, broadcasts, blackboards and so on.

Then, we design specification languages for civilian agents behave in the simulated disaster world, which can reflect natural language features like uncertainty and lack of words.


Location-based Multi-Agent Rescue Communication Distributed Simulation 


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    J. L. Casti. Would-be Worlds: how simulation is changing the frontiers of science. John Wiley and Sons, Inc., 1997.Google Scholar
  2. 2.
    Thomas L. Clarke, editor. Distributed Interactive Simulation Systems for Simulation and Training in the Aero Space Environment, volume CR58 of Critical Reviews Series. SPIE Optical Engineering Press, April 1995.Google Scholar
  3. 3.
    Judith S. Dahmann. High level architecture for simulation: An update. In Azzedine Bourkerche and Paul Reynolds, editors, Distributed Interactive Simulation and Real-time Applications, pages 32–40. IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence, IEEE Computer Society, July 1998.Google Scholar
  4. 4.
    FIPA, Geneva, Switzerland. FIPA CCL Content Language Specification, Aug. 2000. Document number XC00009A (
  5. 5.
    FIPA, Geneva, Switzerland. FIPA Content Language Library Specification, Jul. 2000. Document number XC00007A (
  6. 6.
    FIPA, Geneva, Switzerland. FIPA KIF Content Language Specification, Aug. 2000. Document number XC00010A (
  7. 7.
    Oliver Lemon, Anne Bracy, Alexander Gruenstein, and Stanley Peters. Information states in a multi-modal dialogue system for human-robot conversation. In Proc. of Bi-Dialog, 5th Workshop on Formal Semantics and Pragmatics of Dialogue, pages 57–67, 2001.Google Scholar
  8. 8.
    Itsuki NODA. Framework of distributed simulation system for multi-agent environment. In Proc. of The Fourth International Workshop on RoboCup, pages 12–21, Aug. 2000.Google Scholar
  9. 9.
  10. 10.
    Warfighters’ simulation (warsim) directorate national simulation center. WWW home page
  11. 11.
    Steven Willmott, Monique Calisti, Boi Faltings, Santiago Macho-Gonzalez, Omar Belakhdar, and Marc Torrens. CCL: Expressions of choice in agent commnication. In The Fourth International Conference on MultiAgent Systems (ICMAS-2000). IEEE, July 2000.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2002

Authors and Affiliations

  • Itsuki Noda
    • 1
    • 2
  • Tomoichi Takahashi
    • 3
  • Shuji Morita
    • 4
  • Tetsuhiko Koto
    • 5
  • Satoshi Tadokoro
    • 6
  1. 1.CARC, AISTJapan
  2. 2.PREST, JSTJapan
  3. 3.Chubu Univ.Japan
  4. 4.Kobe Univ.Japan
  5. 5.Univ. of Electro-CommunicationsJapan
  6. 6.Kobe Univ.Japan

Personalised recommendations