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3 unusual facts about Allen Newell


ACT-R

ACT-R has been inspired by the work of Allen Newell, and especially by his lifelong championing the idea of unified theories as the only way to truly uncover the underpinnings of cognition.

In fact, John Anderson usually credits Allen Newell as the major source of influence over his own theory.

Newell Simon Hall

Newell Simon Hall is in the northwestern part of the Carnegie Mellon campus named after the late Herbert A. Simon and Allen Newell.


General Problem Solver

General Problem Solver (GPS) was a computer program created in 1959 by Herbert A. Simon, J.C. Shaw, and Allen Newell intended to work as a universal problem solver machine.

GOFAI

The approach is based on the assumption that many aspects of intelligence can be achieved by the manipulation of symbols, an assumption defined as the "physical symbol systems hypothesis" by Allen Newell and Herbert A. Simon in the middle 1960s.

Hubert Dreyfus's views on artificial intelligence

These are the skills that Newell and Simon had demonstrated with both psychological experiments and computer programs.

This expanded on ideas from What Computers Can't Do, where he had made a similar argument criticizing the "cognitive simulation" school of AI research practiced by Allen Newell and Herbert A. Simon in the 1960s.

Neats vs. scruffies

The distinction was originally made by Roger Schank in the mid-1970s to characterize the difference between his work on natural language processing (which represented commonsense knowledge in the form of large amorphous semantic networks) from the work of John McCarthy, Allen Newell, Herbert A. Simon, Robert Kowalski and others whose work was based on logic and formal extensions of logic.

Saul Amarel

Amarel received the Award named after Allen Newell from the Association for Computing Machinery (ACM) for his wide-ranging contributions to Artificial Intelligence, especially in advancing our understanding of the role of representation in problem solving, and of the theory and practice of computational planning.


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