Blackboard Style
•
Two kinds of components
– Central data structure — blackboard
– Components operating on the blackboard
•
System control is entirely driven by the
blackboard state
•
Examples
– Typically used for AI systems
– Integrated software environments (e.g., Interlisp)
– Compiler architecture
Blackboard LL
Rule-Based Style
Inference
engine parses user input and determines whether it is a fact/rule or a query.
If it is a fact/rule, it adds this entry to the knowledge base. Otherwise, it
queries the knowledge base for applicable rules and attempts to resolve the
query.
Components:
User interface, inference engine, knowledge base
•
Connectors: Components are tightly
interconnected, with direct procedure calls and/or shared memory.
•
Data Elements: Facts and queries
•
Behavior of the application can be very
easily modified through addition or deletion of rules from the knowledge base.
•
Caution: When a large number of rules
are involved understanding the interactions between multiple rules affected by
the same facts can become VERY
difficult.
Rule-Based LL
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