Integrated control and coordinated behavior: a case for agent models
ECAI-94 Proceedings of the workshop on agent theories, architectures, and languages on Intelligent agents
HPTS: a behaviour modelling language for autonomous agents
Proceedings of the fifth international conference on Autonomous agents
The Design of Intelligent Agents: A Layered Approach
The Design of Intelligent Agents: A Layered Approach
Petri Net Theory and the Modeling of Systems
Petri Net Theory and the Modeling of Systems
A behavioral multi-agent model for road traffic simulation
Engineering Applications of Artificial Intelligence
Human factors affecting decision in virtual operator reasoning
BI'09 Proceedings of the 2009 international conference on Brain informatics
Hi-index | 0.00 |
Agents need some kind of autonomy to act in open and dynamic environments. However, the resulting behavior is not always well adapted to the situation. The use of models that combine different reasoning levels creates other difficulties. The management of the control transfer and balance between abstract time-consuming reasoning processes and reactive quick low-level behaviors are particularly complex. Our model is based on the self-observation and control of agents. The main topic is the inconsistency detection used to transfer the control between contiguous levels. This is detailed in the context of virtual pedestrians design.