The spatial semantic hierarchy
Artificial Intelligence
Object persistence for synthetic creatures
Proceedings of the first international joint conference on Autonomous agents and multiagent systems: part 3
Computer Animation and Virtual Worlds - CASA 2005
Agents that remember can tell stories: integrating autobiographic memory into emotional agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Enhancing intelligent agents with episodic memory
Enhancing intelligent agents with episodic memory
Partial pathfinding using map abstraction and refinement
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 3
What does your actor remember? towards characters with a full episodic memory
ICVS'07 Proceedings of the 4th international conference on Virtual storytelling: using virtual reality technologies for storytelling
SC'06 Proceedings of the 2006 international conference on Spatial Cognition V: reasoning, action, interaction
Towards More Human-Like Episodic Memory for More Human-Like Agents
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Memory formation, consolidation, and forgetting in learning agents
Proceedings of the 11th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
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Believable spatial behaviour is important for intelligent virtual agents acting in human-like environments, such as buildings or cities. Existing models of spatial cognition and memory for these agents are predominantly aimed at issues of navigation and learning of topology of the environment. The issue of representing information about possible objects' locations in a familiar environment, information that can evolve over long periods, has not been sufficiently studied. Here, we present a novel representation for "what-where" information: memory for locations of objects. We investigate how this representation is formed and how it evolves using a simplified model of a virtual character. The behaviour of the model is also compared with behaviour of real humans conducting an analogical task.