AI(1) -- Introduction

New Applications

• speech recognition
• machine translation
• autonomous vehicles
• household robotics

Code Repository / Website

aima.cs.berkeley.edu

What is AI?

Thinking Humanly, Thinking Rationally, Acting Humanly, Acting Rationally.

The Turing Test

if a human interogator, after posing some written questions, cannot tell whether the written responses come from a person or from a computer.

The computer would need to possess the following capabilities:

• natural language processing
• knowledge representation
• automated reasoning
• machine learning

Total Turing Test

includes a video signal, will need:

• computer vision
• robotics

This book concentrates on general princiles of rational agents and on components for constructing them.

The Foundations of Artificial Intelligence

Philosophy

syllogisms, rationalism, empiricism, confirmation theory.

connection between knowledge and action.

Mathematics

Boole, first-order logic, computable, tractability, NP-completeness, probability.

Economics

Decision theory, game theory, operations research, Markov decision processes

Neuroscience

a collection of simple cells can lead to thought, action, and consciousness.

Psychology

Cognitive psychology

Computer engineering

Control theory and cybernetics

Linguistics

computational linguistics or natural language processing, knowledge representation

The History of Artificial Intelligence

• The gestation of artificial intellegence (1943-1955)
• The birth of artificial intelligence (1956)
• Early enthusiasm, great expectations (1952-1969)
• A dose of reality (1966-1973)
• Knowledge-based systems: The key to power? (1969-1979)
• AI becomes an industry (1980-present)
• The return of neural networks (1986-present)
• AI adopts the scientific method (1987-present)
• The emergence of intelligent agents (1995-present)
• The availability of very large data sets (2001-present)