Breadcrumbs Section. Click here to navigate to respective pages.
Chapter

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
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.