Made-up minds: a constructivist approach to artificial intelligence
Made-up minds: a constructivist approach to artificial intelligence
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
An introduction to natural computation
An introduction to natural computation
Motivation driven learning for interactive synthetic characters
AGENTS '00 Proceedings of the fourth international conference on Autonomous agents
Introduction to Reinforcement Learning
Introduction to Reinforcement Learning
Verbs and Adverbs: Multidimensional Motion Interpolation
IEEE Computer Graphics and Applications
A layered brain architecture for synthetic creatures
IJCAI'01 Proceedings of the 17th international joint conference on Artificial intelligence - Volume 2
Hi-index | 0.00 |
We suggest that the ability to learn from experience and alter its observable behavior accordingly is a fundamental capability of compelling autonomous animated characters. We highlight important lessons from animal learning and training, machine learning, and from the incorporation of learning into digital pets such as AIBO and Dogz. We then briefly present our approach, informed by the lessons above, toward building characters that learn. Finally, we discuss a number of installations we have built that feature characters that learn what they ought to learn.