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General Problem Solver: Companies & Overview

General Problem Solver (GPS) is a computer program created in 1957 by Herbert A. Simon, J. C. Shaw, and Allen Newell (RAND Corporation) intended to work as a universal problem solver machine. In contrast to the former Logic Theorist project, the GPS works with means–ends analysis.

Language: English [EN]
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General Problem Solver topic overview

The analysis highlights Companies and Overview as prominent areas in the source structure around General Problem Solver.

Related topics
26
Source areas
1
Connected nodes
27
Extracted relationships
4
Concept neighborhoods
15
Bridge connections
27

What this topic covers Research coverage

Source areas are shown by the number of related topics found in each part of the analysis. Use smaller areas too: they can reveal specialized angles and content gaps.

Overview · 26 topics

Smaller areas are not necessarily less important. They contain fewer connections in this analysis and can be useful for finding specialized angles or coverage gaps.

Explore all related topics Closing gaps

Browse the complete topic structure, not only the most central items. Less prominent entities and concepts can reveal missing angles, specialized context and useful research gaps. Each item opens a new analysis centered on that subject.

Overview

Advanced semantic analysis

Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.

How General Problem Solver connects Entity context

See recurring relationship patterns around General Problem Solver before inspecting the individual extracted relationships.

Important terminology

Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.

Important terminology

gps problem logic newell solver program simon general problems solve artificial intelligence computer created shaw rand corporation work theorist means

General Problem Solver relationships Subject–Predicate–Object triples

TTTA extracted 4 structured relationships around General Problem Solver. Examples in this analysis include the Towers of Hanoi that could be sufficiently formalized → instance of → IPL.While GPS solved simple problems and the Towers of Hanoi can become computationally infeasible → instance of → even a straightforward state space search. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
the Towers of Hanoi that could be sufficiently formalizedinstance ofIPL.While GPS solved simple problems0.80text
it could not solve any real-world problems because the search was easily lost in the combinatorial explosioninstance ofIPL.While GPS solved simple problems0.80text
the Towers of Hanoi can become computationally infeasibleinstance ofeven a straightforward state space search0.80text
albeit judicious prunings of the state space can be achieved by such elementary AI techniques as Ainstance ofeven a straightforward state space search0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around General Problem Solver bring nearby vocabulary together. In this analysis, examples include Program, Herbert and Solving. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • General Problem Solver
    • Program
    • Herbert
    • Solving
    • Computer
    • Created
    • Report
    • Problems
    • Solve
    • Solver
    • Allen
    • Intended
    • Machine
  • general problem solver
    • Program
    • Gps
    • Herbert
    • Solving
    • Universal
    • Solver
    • Computer
    • Created
    • Report
    • Work
    • Problems
    • Solve
  • allen newell
    • Intended
    • Machine
    • Universal
    • Corporation
    • Rand
    • Shaw
    • Work
    • Solver
    • Simon
    • Newell
    • Problem
    • Theorist
  • logic theorist
    • Contrast
    • Logic
    • Theorist
    • Analysis
    • Ends
    • Means
    • Shaw
    • Simon
    • Artificial
    • Intelligence
    • Work
    • Newell
  • means–ends analysis
    • Ends
    • Means
    • Contrast
    • Could
    • Generated
    • Operations
    • Theorist
    • Problems
    • Solve
    • Gps
    • Logic
  • computer program
    • Solver
    • Herbert
    • Program
    • Created
    • General
    • Problems
    • Solve
    • Gps
    • Report
    • Problem
  • rand corporation
    • Corporation
    • Rand
    • Intended
    • Machine
    • Universal
    • Shaw
    • Work
    • Solver
    • Newell
    • Problem
  • predicate logic
    • Theorist
    • Simon
    • Ends
    • Means
    • Shaw
    • Work
    • Artificial
    • Intelligence
    • Newell
    • Problem

Connections between topic areas Semantic bridges

Bridges highlight paths between different parts of the General Problem Solver map and can reveal research angles that are easy to miss in a flat list.

Min side: 3

Map overview Semantic statistics

General Problem Solver

Nodes28
Edges27
Triples4
Avg. degree1.93
Density0.071429
Components1

Source & methodology

TTTA analyzes the structure around General Problem Solver to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.

Source: Wikipedia — General Problem Solver · EN edition · Analysis: TopicsToTalkAbout

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