Allen Newell

Cognitive Science United States 1927 – 1992 103 quotes

American cognitive scientist who co-developed the General Problem Solver, emphasizing human-like AI.

Quotes by Allen Newell

The symbol manipulation paradigm is central to artificial intelligence.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The goal of AI is to understand the mechanisms of intelligence.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The scientific method applies to the study of intelligence.

Computer Science as Empirical Inquiry: Symbols and Search 1976

We are building a science of the artificial.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The human mind is a symbol processing system.

Human Problem Solving 1972

The study of human cognition is an empirical science.

Human Problem Solving 1972

The complexity of human behavior arises from the interaction of a simple architecture with a complex environment.

Unified Theories of Cognition 1990

A unified theory of cognition must account for all aspects of human behavior.

Unified Theories of Cognition 1990

The architecture of cognition is not arbitrary; it is constrained by the demands of the environment.

Unified Theories of Cognition 1990

The time scale of cognition is critical for understanding its mechanisms.

Unified Theories of Cognition 1990

Cognition operates on multiple time scales, from milliseconds to years.

Unified Theories of Cognition 1990

The human mind is a highly adaptive system.

Unified Theories of Cognition 1990

The study of artificial intelligence is the study of how to make machines intelligent.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The symbol level is the level at which we describe the behavior of intelligent systems.

Physical Symbol Systems Hypothesis 1980

The physical symbol system hypothesis is a foundational concept in AI and cognitive science.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The power of a symbol system comes from its ability to represent and manipulate information.

Computer Science as Empirical Inquiry: Symbols and Search 1976

The goal of cognitive science is to understand the nature of intelligence, both natural and artificial.

Physical Symbol Systems Hypothesis 1980

The human mind is a complex information processing system.

Human Problem Solving 1972

The study of problem solving is central to understanding human intelligence.

Human Problem Solving 1972

The limitations of human cognition are as important as its capabilities.

Human Problem Solving 1972