Fifth-Generation Computers and Expert Systems

May 19, 2024

Lecture on Fifth-Generation Computers and Expert Systems

Overview

  • Presenter: Stuart Shafie
  • Guest Expert: Edward Feigenbaum
  • Topic: Fifth-generation computers, AI, expert systems
  • Alternate Names: Knowledge Information Processing Systems (KIPS), Knowledge-based systems

Key Concepts

Fifth-Generation Computing

  • Represents a quantum leap in computing technology
  • Japanese Initiative: Ten-year national program focusing on KIPS
  • Central to the fifth generation: Knowledge-based systems (Expert Systems)

Expert Systems

  • Definition: Systems infused with knowledge to provide intelligent solutions
  • Components:
    • Documented facts
    • Heuristic or experiential knowledge
  • Method: Knowledge engineering

Knowledge Engineering

  • Process of embedding human-like experiential knowledge into systems
  • Systems can manipulate facts and make decisions
  • Goal-directed backward chaining used for inference

Historical Context

Evolution of Computing

  • Evolution marked by different generations, with the fifth generation focusing on AI and knowledge processing
  • Influences: Alan Turing, Charles Babbage, Ada Lovelace
  • Artificial Intelligence (AI): Focused on processing symbolic knowledge using logical inference

Milestones in AI

  • Early AI research focused on generality and symbolic manipulation
  • Shift to Knowledge-Based AI: Emphasis on embedding substantial domain-specific knowledge
  • George Polya (Stanford Mathematician): Popularized heuristic reasoning

Practical Applications

Examples of Expert Systems

  1. Chemical Analysis: DENDRAL program at Stanford (1965)
  2. Medical Diagnosis: MYCIN program for infectious disease diagnosis & therapy
  3. Industrial Applications:
  • Configuring customer orders
  • Designing integrated circuits
  • Diagnosing computer equipment failures

Industry Transition

  • Transition from universities to industry (similar to late 1940s and early 1950s computing revolution)
  • Applications across various sectors, especially engineering and healthcare

Specific Case Study: Drilling Advisor

  • Problem: Addressing drilling issues in oil wells remotely
  • Developer: ELF Aquitaine (French National Oil Company)
  • Prototype Demo:
    • System asks for specific data inputs and advises on drilling issues
    • Rule-based system: Uses rules with if-then logic
  • Explanation system allows transparency and understanding of the reasoning process

International Competition: Japan's Fifth-Generation Project

  • Goal: Establish industry leadership in AI and knowledge systems
  • Funding: $450 million government funding plus matching industry funding
  • Strategy: Capture market share in AI where leading companies like IBM are less active
  • Call to Action: US needs to accelerate efforts to maintain leadership

Industry News and Developments

  • Semiconductor Industry: Effort to regain dominance, development of 4-megabyte chip by 1988
  • Fortune Computers: Issues leading to resignation of CEO Gary Friedman
  • MCI Mail: New electronic mail service by MCI
  • Portable Computers on Airlines: Restrictions on use due to potential radio interference
  • Nolan Bushnell (Founder of Atari): New ventures in video games and robotics
  • Legal Rulings: Apple vs. Franklin Computers – software on silicon chips deemed copyrightable
  • Best-Selling Business Software: Lotus 1-2-3
  • Advertising in Software: Companies planning to place ads on software discs and computer networks

Conclusion

The lecture provides a comprehensive overview of the advancements and implications of fifth-generation computing, focusing on the development and application of expert systems, and highlighting the need for strategic advancement to stay competitive globally.