Browsing by Author "Kullu, K."

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    ItemOpen Access
    ACMICS: an agent communication model for interacting crowd simulation
    (Springer, 2017) Kullu, K.; Güdükbay, Uğur; Manocha, D.
    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).
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    ItemOpen Access
    ACMICS: An agent communication model for interacting crowd simulation: JAAMAS track
    (International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2018) Kullu, K.; Güdükbay, Uğur; Manocha, D.
    We present and evaluate a novel approach to simulate communication between the agents. Our approach distinguishes low- And high-level communication tasks. This separation makes it easy to extend and use it in new scenarios. We highlight the benefits of our approach using different simulation scenarios consisting of hun-dreds of agents. We also model evacuation behavior in unknown environments and highlight the benefits of our approach particularly in simulating such behavior.