@article{(Open Science Index):https://publications.waset.org/pdf/14876,
	  title     = {Autonomous Virtual Agent Navigation in Virtual Environments},
	  author    = {Jafreezal Jaafar and  Eric McKenzie},
	  country	= {},
	  institution	= {},
	  abstract     = {This paper presents a solution for the behavioural
animation of autonomous virtual agent navigation in virtual environments.
We focus on using Dempster-Shafer-s Theory of Evidence
in developing visual sensor for virtual agent. The role of the visual
sensor is to capture the information about the virtual environment
or identifie which part of an obstacle can be seen from the position
of the virtual agent. This information is require for vitual agent to
coordinate navigation in virtual environment. The virual agent uses
fuzzy controller as a navigation system and Fuzzy α - level for
the action selection method. The result clearly demonstrates the path
produced is reasonably smooth even though there is some sharp turn
and also still not diverted too far from the potential shortest path.
This had indicated the benefit of our method, where more reliable
and accurate paths produced during navigation task.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {1},
	  year      = {2010},
	  pages     = {91 - 98},
	  ee        = {https://publications.waset.org/pdf/14876},
	  url   	= {https://publications.waset.org/vol/37},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 37, 2010},
	}