1963 ⟶ ANALOGY Program Solves IQ Test Analogies

Thomas Evans' program, ANALOGY, written as part of his PhD w...
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1963
1964
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1970

💡 ANALOGY Program Solves IQ Test Analogies

Thomas Evans' program, Analogy, written as part of his PhD work at MIT, demonstrated that computers can solve the same Analogy problems as are given on IQ tests.⟶
ANALOGY Program Solves IQ Test Analogies (1963)
IQ TestsProblem SolvingThomas EvansMITEarly AI Applications
United StatesUnited States

🗣️ Danny Bobrow's Dissertation on Natural Language Understanding

Danny Bobrow's dissertation at MIT (technical report #1 from MIT's AI group, Project MAC), shows that computers can understand natural language well enough to solve Algebra word problems correctly.⟶
Danny Bobrow's Dissertation on Natural Language Understanding (1964)
Natural Language ProcessingLanguage UnderstandingDanny BobrowMITAI researchComputational Linguistics
United StatesUnited States

❓ SIR Program for Question-Answering Systems

Bertram Raphael's MIT dissertation on the SIR program demonstrates the power of a logical representation of knowledge for question-answering systems.⟶
SIR Program for Question-Answering Systems (1964)
Question AnsweringKnowledge RepresentationSIRBertram RaphaelMITLogical Representation
United StatesUnited States

➕ Macsyma: Symbolic Reasoning for Integration

Joel Moses (PhD work at MIT) demonstrated the power of symbolic reasoning for integration problems in the Macsyma program. First successful knowledge-based program in Mathematics.⟶
Macsyma: Symbolic Reasoning for Integration (1968)
Symbolic ReasoningMathematicsKnowledge-Based SystemsMITMacsymaMoses
United StatesUnited States

🧱 Winston's ARCH Program Learns Concepts from Blocks

Patrick Winston's PhD program, ARCH, at MIT learned concepts from examples in the world of children's blocks.⟶
Winston's ARCH Program Learns Concepts from Blocks (1970)
Machine LearningConcept LearningBlocks WorldPatrick WinstonEarly AIMITKnowledge Representation
USAUSA