"Computer Science as Empirical Inquiry: Symbols and Search"

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"Computer Science as Empirical Inquiry: Symbols and Search" is a seminal 1976 paper by Allen Newell and Herbert A. Simon that articulates a foundational view of artificial intelligence and cognitive science by analyzing computation in terms of symbol manipulation and heuristic search.

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Predicate Object
instanceOf scientific paper
argues intelligent behavior can be understood as symbol manipulation
problem solving can be modeled as heuristic search in a state space
author Allen Newell NERFINISHED
Herbert A. Simon NERFINISHED
contributionTo foundations of artificial intelligence
foundations of cognitive science
theory of problem solving
describes computer programs as symbol systems
search processes in problem spaces
examines empirical evaluation of computational theories of cognition
role of search in problem solving
field artificial intelligence
cognitive science
computer science
framework symbol system and search paradigm for intelligence
hasNotableStatus classic work in cognitive science
seminal paper in artificial intelligence
hasTheoreticalClaim physical symbol systems are necessary and sufficient for general intelligent action
inAcademicDiscourse widely cited in AI literature
widely discussed in philosophy of artificial intelligence
influencedField cognitive psychology
philosophy of mind
symbolic artificial intelligence
language English
mainConcept empirical inquiry in computer science
heuristic search
physical symbol system hypothesis
symbol manipulation
proposes view of computer science as an empirical science of symbol systems
publicationYear 1976
relatedTo General Problem Solver NERFINISHED
information processing psychology
supportsView human cognition can be modeled by symbol-processing systems
topic methodology of computer science as an empirical discipline
relationship between computation and cognition

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physical symbol system hypothesis statedIn "Computer Science as Empirical Inquiry: Symbols and Search"