Skip to main content
Taylor & Francis Group Logo
    Advanced Search

    Click here to search products using title name,author name and keywords.

    • Login
    • Hi, User  
      • Your Account
      • Logout
      Advanced Search

      Click here to search products using title name,author name and keywords.

      Breadcrumbs Section. Click here to navigate to respective pages.

      Chapter

      Large-scale agent-based simulation and crowd sensing with mobile agents
      loading

      Chapter

      Large-scale agent-based simulation and crowd sensing with mobile agents

      DOI link for Large-scale agent-based simulation and crowd sensing with mobile agents

      Large-scale agent-based simulation and crowd sensing with mobile agents book

      Large-scale agent-based simulation and crowd sensing with mobile agents

      DOI link for Large-scale agent-based simulation and crowd sensing with mobile agents

      Large-scale agent-based simulation and crowd sensing with mobile agents book

      ByStefan Bosse
      BookHandbook of Computational Social Science, Volume 2

      Click here to navigate to parent product.

      Edition 1st Edition
      First Published 2021
      Imprint Routledge
      Pages 30
      eBook ISBN 9781003025245
      Share
      Share

      ABSTRACT

      The main topic of this chapter is the introduction of the concept of the fusion of real and virtual worlds creating augmented virtuality by using mobile agents and agent-based simulation technologies. Virtual worlds are created by simulation or by digital games. Socio-technical systems are characterised by interactions of (1) human-to-human (initiated by a human), (2) human-to-machine (initiated by a human), (3) machine-to-human (initiated by a machine, for example a chat bot) and (4) machine-to-machine (initiated by a machine) interfaces. Modelling of such complex interaction networks is difficult. The simulation of social ensemble behaviour requires simplification of interactions and individual behaviour. Commonly, simulations are performed with a number of entities (humans, machines, etc.) in a sandbox world significantly below real population sizes. Agent-based modelling (ABM) is a suitable behaviour model for simulation. Simulation worlds are commonly closed and rely on artificial sensory information generated by the simulator program or using data collected offline (? field studies). A new simulation paradigm providing augmented virtuality is introduced providing the coupling and integration of mobile crowd sensing and social data mining in agent-based simulation worlds. The simulation world interacts with real-world environments, humans, machines, and other virtual worlds in real time using agent-based modelling and computation. Agents can represent artificial humans, bots, and machines, and agents can be used for distributed mobile computing, for example crowd sensing. The concept of agent-based virtual sensors and sensor aggregation is introduced with examples from crowd sensing applications.

      T&F logoTaylor & Francis Group logo
      • Policies
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
        • Privacy Policy
        • Terms & Conditions
        • Cookie Policy
      • Journals
        • Taylor & Francis Online
        • CogentOA
        • Taylor & Francis Online
        • CogentOA
      • Corporate
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
        • Taylor & Francis Group
      • Help & Contact
        • Students/Researchers
        • Librarians/Institutions
        • Students/Researchers
        • Librarians/Institutions
      • Connect with us

      Connect with us

      Registered in England & Wales No. 3099067
      5 Howick Place | London | SW1P 1WG © 2022 Informa UK Limited