It is still possible to effectively build rule based expert systems. I see that LPA has just established a new information and Download page. Includes some good examples in a number of business contexts. Note how this relates to concept mapping. Nicely done. They write:Rules without Programmers Self-service Expert Systems
Build your own expert applications without programming from simple decision trees to complex interconnected flowcharts.
VisiRule lets you capture your knowledge graphically, test and validate the logic and publish it so that others can benefit from it.
You can even present the VisiRule chart at run-time, as a map to help guide users through your decision logic. ... "
(Update) The comments contain a discussion about what knowledge can be implemented using such systems. We discovered soon that maintenance difficulty was a key issue for updated knowledge in these systems.
2 comments:
These are great for small or simple rule-based systems. If you are dealing with large, complex or highly variable decision making, the system needs to be much more deterministic or adaptive than most of the rule-based systems on the market.
Clive Spenser
3:47 PM (1 hour ago)
to me
The scalability of rule-based systems is achievable because of the clear separation between logic rules and execution; performance is helped by the availability of cheap and flexible cloud-based servers; adaptive systems requires some degree of machine learning or dynamic rulesets both of which are supported by traditional AI rule-based engines (implemented using Prolog, Lisp etc) which have always supported meta-level reasoning, dynamic reasoning and induction.
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