Artificial intelligence: a modern approach
Artificial intelligence: a modern approach
Introducing human-like hearing perception in intelligent virtual agents
AAMAS '03 Proceedings of the second international joint conference on Autonomous agents and multiagent systems
Foundations for a theory of mind for a humanoid robot
Foundations for a theory of mind for a humanoid robot
Psychologically-based vision and attention for the simulation of human behaviour
GRAPHITE '05 Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia
Controlling individual agents in high-density crowd simulation
SCA '07 Proceedings of the 2007 ACM SIGGRAPH/Eurographics symposium on Computer animation
Advancing the Layered Approach to Agent-Based Crowd Simulation
Proceedings of the 22nd Workshop on Principles of Advanced and Distributed Simulation
A Multi-Agent Model for Evacuation System under Large-scale Events
ISCID '08 Proceedings of the 2008 International Symposium on Computational Intelligence and Design - Volume 01
Virtual Agent Perception in Multi-agent Based Simulation Systems
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 02
Virtual agent perception in large scale multi-agent based simulation systems
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
A perception framework for intelligent characters in serious games
The 10th International Conference on Autonomous Agents and Multiagent Systems - Volume 3
PaCT'07 Proceedings of the 9th international conference on Parallel Computing Technologies
DIVAs 4.0: a framework for the development of situated multi-agent based simulation systems
Proceedings of the 2013 international conference on Autonomous agents and multi-agent systems
DIVAs 4.0: A Multi-Agent Based Simulation Framework
DS-RT '13 Proceedings of the 2013 IEEE/ACM 17th International Symposium on Distributed Simulation and Real Time Applications
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In order to create realistic simulations,virtual agents need to learn about their environment through perception. To date, most multi-agent simulation systems that implement some form of perception have focused heavily on a single sense, vision. In this paper we discuss a multi-sense perception system for virtual agents situated in large scale open environments. The perception system consists of modules (i.e., sensors) for visual, audible and olfactory senses. It also includes a perception combination module that combines data received from the multiple sensors into useful knowledge.