Flocks, herds and schools: A distributed behavioral model
SIGGRAPH '87 Proceedings of the 14th annual conference on Computer graphics and interactive techniques
AI for games and animation: a cognitive modeling approach
AI for games and animation: a cognitive modeling approach
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Integrated learning for interactive synthetic characters
Proceedings of the 29th annual conference on Computer graphics and interactive techniques
Simplifying the Development of Intelligent Agents
AI '01 Proceedings of the 14th Australian Joint Conference on Artificial Intelligence: Advances in Artificial Intelligence
Synthesizing physically realistic human motion in low-dimensional, behavior-specific spaces
ACM SIGGRAPH 2004 Papers
Synthesizing animations of human manipulation tasks
ACM SIGGRAPH 2004 Papers
Layering and heterogeneity as design principles for animated embedded agents
Information Sciences—Informatics and Computer Science: An International Journal - Special issue: Intelligent embedded agents
A layered brain architecture for synthetic creatures
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Exploiting Quaternion PCA in Virtual Character Motion Analysis
ICCVG 2008 Proceedings of the International Conference on Computer Vision and Graphics: Revised Papers
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FreeWill+ is a framework that aims at integrating various animation techniques for controlling human-like characters. With heterogeneity and multi-layering as its main design principles, the system contains a society of complex interrelated animation components (actions), executing on various levels of abstraction and also varying in the level of built-in intelligence. They arrange themselves into ad-hoc created associations to perform tasks and fulfil goals. As both reactive and proactive modes of operation are present, and the communication between actions is crucial, the overall structure may be considered as a multiagent system. We will show how a relatively simple, multi-layered and multi-agent structure can cope with collision-free motion planning problem.