Artificial Intelligence and Soft Computing: Behavioral ... - Arteimi.info

Expert Reasoning System
New
data
Dynamic
Database
Inference
engine
➶ ➶
asks
tells
Dynamic
Knowledge
base
New knowledge
Fig. 7.1: Architecture of a reasoning system that includes a TMS.
TMS
In fig. 7.1, the inference engine (IE) in an expert reasoning system
interprets the database based on the available pieces of knowledge, stored in
the knowledge base. Since both the database and knowledge base are dynamic,
the process of reasoning would be continued as long as new data or knowledge
are entered into the system from the external world. The TMS asks the
inference engine about the current inferences that it derives and attempts to
resolve the inconsistency between the old and current inferences, after the
inference engine delivers the derived inferences to the TMS. The TMS then
groups the set of consistent information and reports the same to the IE [10].
The current status of all inferences/information is labeled by the TMS by
IN or OUT nodes. IN nodes mean that the nodes (information) are active,
while OUT nodes signify that the nodes have to be retracted from the current