AAJUG meeting on Java Expert System Shell (JESS) tonight, March 24

The Ann Arbor Java User Group meeting is tonight, Tuesday, March 24, from 6:39-9:30 pm.  Jason Morris will be speaking on an "Introduction to the Java Expert System Shell (JESS).  The meeting is held at

Washtenaw Community College, WCC BE250

Presentation Title:
Introduction to the Java Expert System Shell (JESS)

Sandia National Laboratory's Jess is a rule engine implemented in Java and based on the Rete pattern-matching algorithm.  The entire Jess distribution consists of the Jess API, a LISP-like scripting language (also called Jess), and an integrated development environment called the JessDE which is an Eclipse plugin.  Any Java developers who write complex business logic will benefit from this talk.  Business rules will be mentioned, but not glorified as the canonical example of Jess's abilities. 

If you want to learn how to add powerful reasoning capability to your Java applications, then this talk is for you.

Keywords:  artificial intelligence, CLIPS, expert systems, inferencing, knowledge engineering, knowledge-base, LISP, rules, rule engine, rulebases

Speaker Bio:
Jason Morris is the owner of Morris Technical Solutions LLC, specializing in Java web-application development and rule-engine applications.  He has more than 15 years in the software engineering field, spanning many application domains and comprising many different functional roles.  Currently, Jason is involved with the USAF to semantically enable human resources information systems via custom ontologies.  He is also a technical marketing and services consultant for Sandia National Laboratories, where he provides custom training and development services for licensees of Jess, the Java Expert Systems Shell (www.jessrules.com).  His latest joint-development effort with the University of Sydney (Australia) is a rule-based expert system called SINFERS for computation of soil properties from field data.


From 2006-2007, Jason was a GAAN Fellow at Worcester Polytechnic Institute in Massachusetts where he was pursuing a PhD in Computer Science and working on Intelligent Tutoring Systems.  He holds a B.S. in Applied Engineering Sciences from Michigan State University, a B.S. in Mechanical Engineering from Michigan Technological University, and a M.S. in Engineering and Technology Management from Portland State University.