University of Bradford and University of Teesside
Department of Electronic Imaging and Media Communications of Bradford
University
and Department of Computing and Mathematics of Teesside University
+44 1274 236086
BD7 1DP,Bradford
UK
| e-mail(s): t.wan@bradford.ac.uk, w.tang@tees.ac.uk | http://www.inf.brad.ac.uk/ |
Keywords: Autonomous virtual learning characters, motion control, genetic algorithms, virtual environment
Abstract
In this paper, we describe a genetic algorithm approach to simulate
complex virtual character's learning behaviours as an evolutionary process.
The method presented here enables virtual character to have abilities to
learn for specific assigned tasks. The skill for the task can be developed
and evolved through the experiences of performing the task. The animation
system presented here has two tightly coupled simulation units, which are
an artificial brain unit for learning and controlling and a physics-based
motion simulation unit driven by simulated muscle forces