Shared Information Style

Shared Information Style

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