Expert systems are capable of delivering quantitative information, much of which has been developed through basic and applied research (e.g. economic thresholds, crop development models, pest population models) as well as heuristics to interpret qualitatively derived values, or for use in lieu of quantitative information.
www.fra.cas.psu.edu/expsys.htm
This chapter addresses the characteristics of expert systems ..... One of the key characteristics of an expert system is the explanation facility. ...
media.wiley.com/product_data/excerpt/18/04712933/047129... media.wiley.com/product_data/excerpt/18/04712933/0471293318.pdf
To a user, this interactive interface is what would distinguish an expert system from any ordinary computer tool. Behind this interface lie other characteristics that may not be immediately obvious to a person using the tool. ... Expert systems have become increasingly popular because of their specialization, albeit in a...
www.emclab.mst.edu/consortium/Whatis/node10.html
WHAT ARE EXPERT SYSTEMS AND WHEN SHOULD THEY BE USED? What Are Expert Systems? The Architecture of Expert Systems Characteristics of Expert Systems Expert ...
web.missouri.edu/~brente/estalk.txt
I extend the concept of crime mapping to examine systems of juvenile justice. Such systems include public and private forms of treating troubled juveniles. ... "Mapping Systems of Juvenile Justice by Place, Participant Characteristics, and Expert-Systems of Knowledge" Paper presented at the annual meeting of the The Law...
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Major Characteristics of Expert Systems and Artificial Neural Network ... Adaptive resonance theory ... Intelligent Systems Engineering...
www.eng.warwick.ac.uk/eng/staff/elh/ise/session06/ise06... www.eng.warwick.ac.uk/eng/staff/elh/ise/session06/ise0629.html
Intelligent solutions, based on Expert Systems (ES), to solve complicated practical problems in various sectors are becoming more and more widespread. However, the real success of applied expert systems in the improvement of ... Identifying the characteristics of successful expert systems: an empirical evaluation...
www.ingentaconnect.com/content/ind/ijitm/2006/00000005/... www.ingentaconnect.com/content/ind/ijitm/2006/00000005/00000001/art00002
Today's expert systems deal with domains of narrow specialization. For expert systems to perform competently over a broad range of tasks, they will have to be given very much more knowledge. ... The next generation of expert systems ...
www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/Expert... www.aaai.org/AITopics/pmwiki/pmwiki.php/AITopics/ExpertSystems
All expert systems are composed of several basic components: a user interface, a database, a knowledge base, and an inference mechanism. ... There are various formal methods for representing knowledge and usually the characteristics of a particular problem will determine the appropriate representation techniques employed.
www.cas.psu.edu/docs/CASDEPT/Expertsystems/ESDG/expsyst... www.cas.psu.edu/docs/CASDEPT/Expertsystems/ESDG/expsystm.htm
Expert systems are often called "rule-based systems", ... (These are not hard and fast rules because, since production systems are Turing equivalent, they can be used for any computational problem. However, the presence of these characteristics makes them a more "natural" choice.) Advantages of production systems: 1.
www.cc.gatech.edu/classes/cs3361_98_winter/expert.txt www.cc.gatech.edu/classes/cs3361_98_winter/expert.txt