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Mumbai University > Computer Engineering > Sem 7 > Artificial Intelligence

Marks: 5 & 6 Marks

Year: Dec 2015, May 2016

• Knowledge Base (KB): repository of special heuristics or rules that direct the use of knowledge, facts (productions). It contains the knowledge necessary for understanding, formulating, & problem solving.

• Working Memory(Blackboard): if forward chaining used

  It describes the current problem & record intermediate results

  Records Intermediate Hypothesis & Decisions: 1. Plan, 2. Agenda, 3. Solution

• Inference Engine: the deduction system used to infer results from user input & KB

  It is the brain of the ES, the control structure(rule interpreter)

  It provides methodology for reasoning

• Explanation Subsystem (Justifier): Traces responsibility & explains the ES behaviour by interactively answering question: Why?, How?, What?, Where?, When?, Who?

• User Interface: interfaces with user through Natural Language Processing (NLP), or menus & graphics. Acts as Language Processor for friendly, problem-oriented communication

Shell = Inference Engine + User Interface

The Human Elements in ESs

• Expert: Has the special knowledge, judgement, experience and methods to give advice and solve problems.

Provides knowledge about task performance

• Knowledge Engineer: Usually also the System Builder

  Helps the expert(s) structure the problem area by interpreting and integrating human answers to questions, drawing analogies, posing counter examples, and bringing to light conceptual difficulties.

  The Expert & the knowledge Engineer should Anticipate Users’ needs & Limitations when designing Expert Systems

• User: Possible Classes of Users can be

  • A non-expert client seeking direct advice (ES acts as a Consultant or Advisor)
  • A student who wants to learn (ES acts as an Instructor)
  • An ES builder improving or increasing the knowledge base(ES acts as a Partner)
  • An Expert (ES acts as a Colleague or an Assistant)