Simulation Level of Detail for Virtual Humans
IVA '07 Proceedings of the 7th international conference on Intelligent Virtual Agents
Motivations and Personality Traits in Decision-Making
IVA '08 Proceedings of the 8th international conference on Intelligent Virtual Agents
Relation between motivations and personality traits for autonomous virtual humans
Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 2
Action Generator Based on Primitive Actions and Individual Properties
KES-AMSTA '09 Proceedings of the Third KES International Symposium on Agent and Multi-Agent Systems: Technologies and Applications
Real-Time Backchannel Selection for ECAs According to User's Level of Interest
IVA '09 Proceedings of the 9th International Conference on Intelligent Virtual Agents
Transactions on computational science XII
Modelling basic needs as agent motivations
International Journal of Computational Intelligence Studies
Hi-index | 0.00 |
Nowadays virtual humans such as non-player characters in computer games need to have a real autonomy in order to live their own life in persistent virtual worlds. When designing autonomous virtual humans, the action selection problem needs to be considered, as it is responsible for decision making at each moment in time. Action selection architectures for autonomous virtual humans should be individual, motivational, reactive and proactive to obtain a high degree of autonomy. This paper describes in detail our motivational model of action selection for autonomous virtual humans in which overlapping hierarchical classifier systems, working in parallel to generate coherent behavioral plans, are associated with the functionalities of a free flow hierarchy to give reactivity to the hierarchical system. Finally, results of our model in a complex simulated environment, with conflicting motivations, demonstrate that the model is sufficiently robust and flexible for designing motivational autonomous virtual humans in real-time.