Types of Expert Systems Interpretation Systems Prediction Systems - - PowerPoint PPT Presentation

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Apr 24, 2023 253 likes •333 views

Types of Expert Systems Interpretation Systems Prediction Systems Diagnosis Systems Design Systems Planning Systems Monitoring Systems Debugging Systems Repair Systems Instruction Systems Control

SLIDE 1

Types of Expert Systems

Interpretation Systems
Prediction Systems
Diagnosis Systems
Design Systems
Planning Systems
Monitoring Systems
Debugging Systems
Repair Systems
Instruction Systems
Control Systems

SLIDE 2

Analytic Operations

INTERPRET IDENTIFY PREDICT CONTROL MONITOR DIAGNOSE

SLIDE 3

Synthetic Operations

CONSTRUCT SPECIFY DESIGN ASSEMBLE CONFIGURE PLAN

SLIDE 4

Classification Problem Solving

Data abstractions Data Solution refinement Solutions Heuristic Matching

Three basic steps in heuristic classification:

Data Abstraction (definitional; qualitative; generalization)
Heuristic Match
Solution Refinement

SLIDE 5

Heuristic Classification in MYCIN

Compromised host

E. Coli Infection

Immunosuppressed Gram negative infection Heuristic Matching Leukopenia Low WBC WBC < 2.5

SLIDE 6

Heuristic Classification in SOPHIE

Qualitative values of ports Behavior at a port in a module Component facult Heuristic Matching Quantitative circuit behavior Local circuit measurements

SLIDE 7

Classification versus Construction

The distinguishing feature of heuristic classification is that

the solution can be enumerated in advance, e.g. in diagnostic phase of MYCIN, the program selects from a fixed set of offending organisms.

However, in many tasks, solution are constructed rather

than selected, e.g. MYCIN’s therapy program recommends some combination of antibiotics at various dosages.

Constructing a solution involves some model that contains

knowledge concerning constraints: (1) Constraints upon configuration of solution components (2) Constraints upon inputs and outputs (3) Constraints upon interactions between (1) and (2)