Knowledge Inferring Systems

Once the knowledge has been imparted to an agent, we need to see what that agent can infer out of that knowledge and manipulation it does.

Types of Knowledge

  1. Declarative - concepts, facts & objects

  2. Structural - problem-solving (concepts - related objects)

  3. Procedural - rules, strategies, procedures, etc.

  4. Meta - knowledge about other types of knowledge

  5. Heuristic - unknown expert knowledge

Cycle of Knowledge Representation

Techniques of Knowledge Representation

  1. Logical Representation

  2. Semantic Network Representation

  3. Frame Representation

  4. Production Rules

Representation Requirements

  • Representation Accuracy - task all relevant knowledge

  • Inferential Adequacy - manipulate new knowledge

  • Inferential Efficiency - productive good/ useful

  • Acquisitional Efficiency - understands the data at all points

Approaches to Knowledge Representation

  1. Simple Relational - in the form of a relational table

  2. Hierarchial/Inheritable

  3. Inferential

Last updated