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dc.contributor.authorKullu, K.en_US
dc.contributor.authorGüdükbay, U.en_US
dc.contributor.authorManocha, D.en_US
dc.date.accessioned2018-04-12T10:37:29Z
dc.date.available2018-04-12T10:37:29Z
dc.date.issued2017en_US
dc.identifier.issn1387-2532
dc.identifier.urihttp://hdl.handle.net/11693/36362
dc.description.abstractBehavioral 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).en_US
dc.language.isoEnglishen_US
dc.source.titleAutonomous Agents and Multi-Agent Systemsen_US
dc.relation.isversionofhttp://dx.doi.org/10.1007/s10458-017-9366-8en_US
dc.subjectAgent communicationen_US
dc.subjectAgent Communication Language (ACL)en_US
dc.subjectCommunication modelen_US
dc.subjectCrowd simulationen_US
dc.subjectFoundation for Intelligent Physical Agents (FIPA)en_US
dc.subjectInformation theoryen_US
dc.subjectCommunication modelingen_US
dc.subjectBehavioral researchen_US
dc.titleACMICS: an agent communication model for interacting crowd simulationen_US
dc.typeArticleen_US
dc.departmentDepartment of Computer Engineering
dc.citation.spage1403en_US
dc.citation.epage1423en_US
dc.citation.volumeNumber31en_US
dc.citation.issueNumber6en_US
dc.identifier.doi10.1007/s10458-017-9366-8en_US
dc.publisherSpringeren_US


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