Artificial Intelligence: A Modern Approach


by Stuart Russell and Peter Norvig

Artificial Intelligence: A Modern Approach
The table of contents of Artificial Intelligence: A Modern Approach has been defined as the topic range for the AI Qual this May.

Summary of Contents

  1. Artificial Intellgence

      Date: Jan. 25th, 1995 By: Peter Weinstein (Outline)

    1. Introduction
    2. Intelligent Agents

  2. Problem-solving

      Date: Feb. 3rd, 1995 By: Fritz Freiheit (Outline)

    1. Solving Problems by Searching
    2. Informed Search Methods
    3. Game Playing

  3. Knowledge and reasoning

      Date: Feb. 8th, 1995 By: Dave (Outline)
    1. Agents that Reason Logically
    2. First-Order Logic
    3. Building a Knowledge Base

      Date: Feb. 15th, 1995 By: James Reed (Outline)

    4. Inference in First-Order Logic
    5. Logical Reasoning Systems

  4. Acting logically

      Date: Mar. 1st, 1995 By: Glenn Taylor
    1. Planning
    2. Practical Planning
    3. Planning and Acting

  5. Uncertain knowledge and reasoning

      Date: Mar. 8th, 1995 By: Pete Wurman

    1. Uncertainty
    2. Probabilistic Reasoning Systems

      Date: Mar. 15th, 1995 By:

    3. Making Simple Decisions
    4. Making Complex Decisions

  6. Learning

      Date: Mar. 22nd, 1995 By: Glenn Taylor

    1. Learning from Observation
    2. Learning in Neural and Belief Networks

      Date: Mar. 29th, 1995 By:

    3. Reinforcement Learning
    4. Knowledge in Learning

  7. Communication, perceiving, and acting

      Date: Apr. 5th, 1995 By:

    1. Agents that Communicate
    2. Practical Natural Language Processing

      Date: Apr. 12th, 1995 By:

    3. Perception
    4. Robotics

  8. Conclusion

      Date: Apr. 19th, 1995 By:

    1. Philosophical Foundations
    2. AI: Present and Future


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Fritz Freiheit <fritx@umich.edu>

Created: Jan. 27th, 1995
Updated: Feb. 21st, 1995