The Rise and Fall of Artificial Intelligence

The idea of creating machines that could think and reason like humans continued to evolve over the years. However, it wasn't until the summer of 1956 when the field of artificial intelligence officially came into being. The Dartmouth Conference, organized by John McCarthy, Marvin Minsky, Nathaniel Rochester, and Claude Shannon, brought together prominent researchers and pioneers in the emerging field. During the conference, McCarthy proposed the term "artificial intelligence" to describe the goal of creating machines capable of intelligent behavior.

Early AI research primarily focused on symbolic AI, also known as "good old-fashioned AI" (GOFAI). Researchers attempted to encode human knowledge and reasoning into computer programs using symbolic representations and logical rules. The hope was that these systems could understand language, solve complex problems, and exhibit human-like cognition.

However, as researchers delved deeper into the complexities of human cognition, they realized that replicating human intelligence was far more challenging than they initially anticipated. The limitations of early AI systems, coupled with a lack of computing power, led to an "AI winter" in the late 1970s and early 1980s. Funding for AI research dwindled, and many believed that the dream of creating true artificial intelligence was nothing more than science fiction.

Author: Brandon Taul

Publisher: Independently Published

Publication Date: Aug 01, 2023

Number of Pages: 98 pages

Binding: Paperback or Softback

ISBN-10: NA

ISBN-13: 9798854632164