Soar cognitive architecture

E275783

The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.

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Soar cognitive architecture canonical 2

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Predicate Object
instanceOf cognitive architecture
cognitive model
production-system architecture
symbolic cognitive architecture
basedOn long-term memory
operators
problem spaces
production rules
working memory
developedAt CMU
surface form: Carnegie Mellon University

University of Michigan
hasComponent episodic memory
motor modules
perception modules
procedural memory
semantic memory
working memory
hasCreator Allen Newell
John E. Laird
Paul S. Rosenbloom
hasDocumentation Soar
surface form: Soar manual
hasExecutionCycle decision cycle
hasKeyConcept chunk formation
impasse-driven reasoning
problem-space hypothesis
Unified Theories of Cognition
surface form: unified theory of cognition

universal subgoaling
hasProgrammingLanguage Soar language
hasPurpose model human cognition
support decision making
support learning
support problem solving
support unified theories of cognition
hasWebsite https://soar.eecs.umich.edu/
influenced agent-based modeling
cognitive architectures research
influencedBy Unified Theories of Cognition
surface form: Newell’s unified theories of cognition
supports interactive problem solving
naturalistic decision making
real-time agent control
supportsLearningMechanism chunking
episodic learning
reinforcement learning
semantic learning
supportsRepresentation goal hierarchies
operators and states
symbolic representations
usedIn cognitive modeling
human–computer interaction research
intelligent agents
robotics
training simulations

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Referenced by (2)

Full triples — surface form annotated when it differs from this entity's canonical label.

Allen Newell knownFor Soar cognitive architecture
Unified Theories of Cognition relatedTo Soar cognitive architecture