Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
Artificial fishes: physics, locomotion, perception, behavior
SIGGRAPH '94 Proceedings of the 21st annual conference on Computer graphics and interactive techniques
Multi-level direction of autonomous creatures for real-time virtual environments
SIGGRAPH '95 Proceedings of the 22nd annual conference on Computer graphics and interactive techniques
Improv: a system for scripting interactive actors in virtual worlds
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
The computational beauty of nature
The computational beauty of nature
Machine Learning
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Computer Animation and Virtual Worlds - Special Issue: The Very Best Papers from CASA 2004
Individualized reaction movements for virtual humans
Proceedings of the 4th international conference on Computer graphics and interactive techniques in Australasia and Southeast Asia
Autonomous Virtual Agents for Performance Evaluation of Tracking Algorithms
AMDO '08 Proceedings of the 5th international conference on Articulated Motion and Deformable Objects
Presence: Teleoperators and Virtual Environments
In search for your own virtual individual
SAMT'06 Proceedings of the First international conference on Semantic and Digital Media Technologies
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In this paper, we propose a new integration approach to simulate an Autonomous Virtual Agent's cognitive learning of a task for interactive Virtual Environment applications. Our research focuses on the behavioural animation of virtual humans capable of acting independently. Our contribution is important because we present a solution for fast learning with evolution. We propose the concept of a Learning Unit Architecture that functions as a control unit of the Autonomous Virtual Agent's brain. Although our technique has proved to be effective in our case study, there is no guarantee that it will work for every imaginable Autonomous Virtual Agent and Virtual Environment. The results are illustrated in a domain that requires effective coordination of behaviours, such as driving a car inside a virtual city.