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      ACMICS: an agent communication model for interacting crowd simulation

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      Author
      Kullu, K.
      Güdükbay, Uğur
      Manocha, D.
      Date
      2017
      Source Title
      Autonomous Agents and Multi-Agent Systems
      Print ISSN
      1387-2532
      Publisher
      Springer
      Volume
      31
      Issue
      6
      Pages
      1403 - 1423
      Language
      English
      Type
      Article
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      Abstract
      Behavioral plausibility is one of the major aims of crowd simulation research. We present a novel approach that simulates communication between the agents and assess its influence on overall crowd behavior. Our formulation uses a communication model that tends to simulate human-like communication capability. The underlying formulation is based on a message structure that corresponds to a simplified version of Foundation for Intelligent Physical Agents Agent Communication Language Message Structure Specification. Our algorithm distinguishes between low- and high-level communication tasks so that ACMICS can be easily extended and employed in new simulation scenarios. We highlight the performance of our communication model on different crowd simulation scenarios. We also extend our approach to model evacuation behavior in unknown environments. Overall, our communication model has a small runtime overhead and can be used for interactive simulation with tens or hundreds of agents. © 2017, The Author(s).
      Keywords
      Agent communication
      Agent Communication Language (ACL)
      Communication model
      Crowd simulation
      Foundation for Intelligent Physical Agents (FIPA)
      Information theory
      Communication modeling
      Behavioral research
      Permalink
      http://hdl.handle.net/11693/36362
      Published Version (Please cite this version)
      http://dx.doi.org/10.1007/s10458-017-9366-8
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      • Department of Computer Engineering 1411
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