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El. knyga: Advances in Social Simulation: Proceedings of the 17th Social Simulation Conference, European Social Simulation Association

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This book highlights recent developments in the field of computer simulation and its application to social dynamics and behaviour. It covers latest advancements in the use of agent-based modelling by focusing on thematic issues, methodological progress and applications, including policy, industry and business. It aims to promote this interdisciplinary type of research by showing synergies, complementary and integration especially between computer sciences, social sciences, economics and organization, often bridging qualitative and quantitative research.





The primary audience of this book are academics, practitioners and professionals using computer simulation for business counselling or industry.  

Applications of agent-based modelling in social sciences

  • Agent-based computational economics & finance
  • Conflict resolution & cooperation
  • Coupled human-natural systems
  • Diffusion of innovations
  • Dynamics of trust, social norm, structures, reputation & opinion
  • Epidemiology & pharma-economics
  • Group decisions & collective behaviours
  • Market design, mechanism design & auctions
  • Privacy, safety & security
  • Public policy & regulatory issues
  • Resource management, environmental practices & policy
    • Social emergence & evolution of institutions
  • Social media and volunteered information
  • Social networks and their dynamics

Tools and methods for development of simulation models

  • Advanced distributed computing
  • Agent ontologies
  • Agent-embodied Artificial Intelligence
  • Model replication, verification & validation
  • Participatory & Human-in-the-Loop simulations
  • Simulation software & programming computational frameworks
Techniques for visualizing, interpreting and analysing simulation outputs

  • Coupling simulations and optimization methods
  • Data analysis software for simulations
  • Experiment design and data farming for simulations
  • Simulation metamodels
  • Statistical & data mining techniques for simulated data
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