Where to Look? Automating Attending Behaviors of Virtual Human Characters
Autonomous Agents and Multi-Agent Systems
The Utility of Global Representations in a Cognitive Map
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
A Behavioral Interface to Simulate Agent-Object Interactions in Real Time
CA '99 Proceedings of the Computer Animation
SC'04 Proceedings of the 4th international conference on Spatial Cognition: reasoning, Action, Interaction
Towards Embodied and Situated Virtual Humans
Motion in Games
How Do Place and Objects Combine? "What-Where" Memory for Human-Like Agents
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Accounting for patterns of collective behavior in crowd locomotor dynamics for realistic simulations
Transactions on Edutainment VII
| Hi-index | 0.00 |
Many articles dealing with agent navigation in an urban environment involve the use of various heuristics. Among them, one is prevalent: the search of the shortest path between two points. This strategy impairs the realism of the resulting behaviour. Indeed, psychological studies state that such a navigation behaviour is conditioned by the knowledge the subject has of its environment. Furthermore, the path a city dweller can follow may be influenced by many factors like his daily habits, or the path simplicity in term of minimum of direction changes. It appeared interesting to us to investigate how to mimic human navigation behavior with an autonomous agent. The solution we propose relies on an architecture based on a generic model of informed environment, a spatial cognitive map model merged with a human-like memory model, representing the agent's temporal knowledge of the environment, it gained along its experiences of navigation.