User interface design for DAI applications: an overview
Distributed artificial intelligence
Intelligent agents in computer games
AAAI '99/IAAI '99 Proceedings of the sixteenth national conference on Artificial intelligence and the eleventh Innovative applications of artificial intelligence conference innovative applications of artificial intelligence
Capturing the quake player: using a BDI agent to model human behaviour
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
On consistency and network latency in distributed interactive applications: a survey--part I
Presence: Teleoperators and Virtual Environments
Crowd Simulation
A framework for execution and 3D visualization of situated cellular agent based crowd simulations
Proceedings of the 2008 ACM symposium on Applied computing
A validation methodology for agent-based simulations
Proceedings of the 2008 ACM symposium on Applied computing
Large-Scale Agent-Based Pedestrian Simulation
MATES '07 Proceedings of the 5th German conference on Multiagent System Technologies
Virtual Crowds: Methods, Simulation, and Control (Synthesis Lectures on Computer Graphics and Animation)
Evolving 3d morphology and behavior by competition
Artificial Life
Pogamut 3 Can Assist Developers in Building AI (Not Only) for Their Videogame Agents
Agents for Games and Simulations
Level of detail AI for virtual characters in games and simulation
MIG'10 Proceedings of the Third international conference on Motion in games
Sociocultural Games for Training and Analysis
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
A distributed architecture for multiplayer interactive applications on the Internet
IEEE Network: The Magazine of Global Internetworking
CIGA: a middleware for intelligent agents in virtual environments
AEGS'11 Proceedings of the 2011 international conference on Agents for Educational Games and Simulations
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Agent-based simulation can be a useful tool when analysing complex systems such as real world scenarios. In multi-agent models when no quantitative data are available we have to search for new solutions in order to verify that the simulated model is appropriate with respect to the real one. Typical solutions approach the problem of missing data by considering contributions of human experts. In our work, we enhance the transparency of the simulation via a detailed visualisation in order to enable an immersive evaluation of the simulated model. We initially identify several conceptual and technical problems regarding the combination of a multi-agent simulation system with a game engine. We then propose a framework which implements a solution for generic processing and communication of information while maintaining consistency between the two systems. The end result automates several processes in a context independent manner and minimises the overall modeller's effort.