Birth of AI
1950s–1970s · Dartmouth Conference & First Wave
In the summer of 1956, in a small town in New Hampshire, USA, a group of young scientists gathered to discuss what then seemed like science fiction—giving machines human intelligence. The term "artificial intelligence" had appeared in the project’s 1955 proposal; the Dartmouth workshop helped turn its research agenda into the identity of an emerging academic field.
The following decade saw scientists filled with optimism about neural networks, reasoning systems, and robotics, ushering in AI’s first golden age. While many dreams of this era were not immediately realized, the work laid an important foundation for AI’s later development.
This era’s AI research focused on three main directions: symbolism (logic and rules-based), connectionism (neural networks), and behaviorism (perception-action loops). These three directions have alternately dominated the history of AI development.
Key Milestones
Dartmouth Conference
The summer 1956 Dartmouth workshop helped establish "artificial intelligence" and its research agenda as the identity of an emerging academic field; the term had already appeared in the project’s 1955 proposal.
John McCarthy (1927–2011)
Logic Theorist
Allen Newell and Herbert Simon developed the "Logic Theorist", an early practical AI program. This program could prove theorems from Principia Mathematica and is widely discussed as one of the earliest AI programs. Newell and Simon received the Turing Award in 1975.
Allen Newell & Herbert Simon
Perceptron
Frank Rosenblatt proposed the Perceptron model, an influential early artificial neural-network model. The Perceptron is a simple linear binary classifier that learns to classify input data by adjusting weights.
Frank Rosenblatt (1928–1971)
Lisp Language
John McCarthy developed Lisp at MIT, an early high-level programming language closely associated with AI research. Lisp’s flexibility and powerful symbolic processing made it the language of choice for AI research.
John McCarthy
General Problem Solver
Newell and Simon developed the General Problem Solver (GPS) from 1957 to 1959, with collaborators including J. C. Shaw. It was the first AI program to attempt to simulate human problem-solving by separating the problem-solving technique from the knowledge of the specific problem domain, using goal decomposition and sub-goal search (means-ends analysis).
Allen Newell & Herbert Simon
Perceptron Convergence Theorem
Frank Rosenblatt proved the convergence property of the perceptron learning algorithm, showing that if data is linearly separable, the perceptron will definitely converge.
Frank Rosenblatt
First Industrial Robot
Unimate became the first robot to work on an assembly line. General Motors installed it at its Trenton, New Jersey plant in 1961 to unload a die-casting press, taking the hot cast parts off the machine. Unimation built these units for work that was difficult, dangerous or monotonous for people.
Unimate
Machine Perception of Three-Dimensional Solids
In his 1963 MIT doctoral thesis, Larry Roberts described a system for interpreting scenes of simple polyhedral solids from images, an important early foundation of three-dimensional computer vision.
Larry Roberts
Project MAC Launches
MIT launched Project MAC in 1963 under Robert Fano to study time-sharing, computation, and machine-aided cognition. The MIT Artificial Intelligence Project, founded in 1959, later participated in it; the two were not a single laboratory founded in 1959.
Robert Fano
ELIZA
Joseph Weizenbaum created ELIZA at MIT, one of the earliest chatbots. ELIZA simulated a psychotherapist’s conversation through pattern matching, sparking deep reflection on human-computer interaction.
Joseph Weizenbaum (1923–2008)
Shakey the Robot
SRI International developed Shakey, an early autonomous mobile robot that could perceive its environment, plan paths, and execute tasks. Shakey combined computer vision, NLP, and planning algorithms.
SRI International
Frame Theory
Marvin Minsky published the "Frame Paper", proposing Frame theory for knowledge representation. This theory influenced later object-oriented programming and knowledge representation methods.
Marvin Minsky
Key Figures
John McCarthy
Father of AI
McCarthy was one of the founding figures of AI. He coined the term "Artificial Intelligence" and developed the Lisp programming language. He received the Turing Award in 1971 and is known as the "Father of AI". McCarthy also proposed the concept of "time-sharing".
Marvin Minsky
AI Architecture Pioneer
Minsky was a co-founder of MIT’s AI Lab. He made important contributions to neural networks, common-sense reasoning, and frame theory. He received the Turing Award in 1969.
Allen Newell & Herbert Simon
Cognitive Scientists
Newell and Simon co-developed the Logic Theorist and the General Problem Solver, combining computer science and cognitive psychology. Simon received the 1978 Nobel Prize in Economic Sciences; he and Newell jointly received the 1975 Turing Award.
Frank Rosenblatt
Neural Network Pioneer
Rosenblatt was the inventor of the Perceptron. Although neural network research experienced a winter, his work laid the foundation for today’s deep learning.
Joseph Weizenbaum
HCI Pioneer
Weizenbaum created ELIZA. Although technically simple, it sparked profound philosophical discussions about human-computer interaction and machine intelligence. Weizenbaum later became an early advocate of AI ethics.
Classic Quotes
An attempt will be made to find how to make machines use language, form abstractions and concepts, solve kinds of problems now reserved for humans, and improve themselves.
Machines will be capable, within twenty years, of doing any work a man can do.