c.curionodeThe Turing Archive

1975 · Turing Award

Allen Newell

Symbolic systems connected computer programs with theories of human problem solving.

Birth location
1927, San Francisco, California, USA
Country labels
United States
At the award
Carnegie Mellon University
Subject
Artificial intelligence
Read the award story ↗
Illustrated portrait of Allen Newell
Original AI-generated illustration by Curionode. Carnegie Mellon University Libraries · Likeness reference ↗

01 · A life in computing

The person behind the work

Allen Newell studied intelligence by constructing computer programs that model problem solving. With Herbert Simon and other collaborators, he developed systems including the Logic Theorist and General Problem Solver. His research emphasized information processing as a common framework for understanding human cognition and machine reasoning. At Carnegie Mellon he helped establish computer science and cognitive science, later pursuing integrated cognitive architectures such as Soar.

The contribution, explained

Allen Newell and Herbert Simon, working with J. C. Shaw and others, built programs that represented problems symbolically and searched through possible solutions. Their research connected artificial intelligence with cognitive psychology and helped develop list processing. A computer program could serve both as a problem solver and as an explicit hypothesis about a process of thought.

Why it matters

Heuristic search made some large problem spaces tractable and gave cognitive theories a form that could be tested.

Sources & further reading

  1. Heidelberg Laureate Forum ↗www.heidelberg-laureate-forum.org
  2. Official ACM profile ↗amturing.acm.org
  3. Carnegie Mellon — Simon Initiative history ↗www.cmu.edu