@article{(Open Science Index):https://publications.waset.org/pdf/2459,
	  title     = {VISUAL JESS: AN Expandable Visual Generator of Oriented Object Expert systems},
	  author    = {Amel Grissa-Touzi and  Habib Ounally and  Aissa Boulila},
	  country	= {},
	  institution	= {},
	  abstract     = {The utility of expert system generators has been
widely recognized in many applications. Several generators based on
concept of the paradigm object, have been recently proposed. The
generator of oriented object expert system (GSEOO) offers
languages that are often complex and difficult to use. We propose in
this paper an extension of the expert system generator, JESS, which
permits a friendly use of this expert system. The new tool, called
VISUAL JESS, bring two main improvements to JESS. The first
improvement concerns the easiness of its utilization while giving
back transparency to the syntax and semantic aspects of the JESS
programming language. The second improvement permits an easy
access and modification of the JESS knowledge basis. The
implementation of VISUAL JESS is made so that it is extensible and
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {1},
	  number    = {11},
	  year      = {2007},
	  pages     = {1668 - 1671},
	  ee        = {https://publications.waset.org/pdf/2459},
	  url   	= {https://publications.waset.org/vol/11},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 11, 2007},