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Information Processing Language: History, Technology & Companies

Information Processing Language (IPL) is a programming language created by Allen Newell, Cliff Shaw, and Herbert A. Simon at RAND Corporation and the Carnegie Institute of Technology about 1956. Newell had the job of language specifier-application programmer, Shaw was the system programmer, and Simon had the job of application programmer-user.

Language: English [EN]
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Information Processing Language topic overview

The analysis highlights History, Technology and Companies as prominent areas in the source structure around Information Processing Language.

Related topics
30
Source areas
2
Connected nodes
35
Extracted relationships
39
Concept neighborhoods
13
Bridge connections
35

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.

History · 16 topics
Overview · 14 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.

Key facts & relationships

High-confidence facts extracted from structured source data. Use them as anchors for further research.

Designed by
Allen Newell, Cliff Shaw, Herbert A. Simon
Developer
Allen Newell, Cliff Shaw, Herbert A. Simon
First appeared
1956; 70 Years Ago
OS
Cross-platform: JOHNNIAC, IBM 650, IBM 704, IBM 7090
Paradigm
Assembly
Stable release
IPL-V

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

History

Sources

  • Doi Doi (identifier)
  • ISBN ISBN (identifier)

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 Information Processing Language connects Entity context

The extracted context around Information Processing Language shows recurring relationship patterns in the source. For example, Information Processing Language → ACM, Allen, An Introduction, Association, Communications, Computing Machinery, Date, February, Fred, IRE-AIEE-ACM, ISBN, ISSN, Logic Theory Machine, New York, Newell, NY, Papers Presented, Programming, Reliability, S2CID Another extracted example is Information Processing Language → Allen Newell, Cliff Shaw, Herbert A. Simon. Use these groups to spot repeated connection types before inspecting the individual relationships.

Information Processing Language

Top relations

related to Further reading · 26
Information Processing Language → ACM, Allen, An Introduction, Association, Communications, Computing Machinery, Date, February, Fred, IRE-AIEE-ACM, ISBN, ISSN, Logic Theory Machine, New York, Newell, NY, Papers Presented, Programming, Reliability, S2CID
Designed by · 1
Information Processing Language → Allen Newell, Cliff Shaw, Herbert A. Simon
Developer · 1
Information Processing Language → Allen Newell, Cliff Shaw, Herbert A. Simon
First appeared · 1
Information Processing Language → 1956; 70 Years Ago
OS · 1
Information Processing Language → Cross-platform: JOHNNIAC, IBM 650, IBM 704, IBM 7090
Paradigm · 1
Information Processing Language → Assembly
Stable release · 1
Information Processing Language → IPL-V

Important terminology

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

Important terminology

ipl list newell programming allen shaw symbols cell simon cells used lists processing language computer ipl-v names symbol cliff herbert

Information Processing Language relationships Subject–Predicate–Object triples

TTTA extracted 39 structured relationships around Information Processing Language. Examples in this analysis include Information Processing Language → Designed by → Allen Newell, Cliff Shaw, Herbert A. Simon and Information Processing Language → First appeared → 1956; 70 Years Ago. The table shows each extracted connection, where it came from and its confidence.

SubjectPredicateObjectConfidenceSrc
Information Processing LanguageDesigned byAllen Newell, Cliff Shaw, Herbert A. Simon1.00infobox
Information Processing LanguageDeveloperAllen Newell, Cliff Shaw, Herbert A. Simon1.00infobox
Information Processing LanguageFirst appeared1956; 70 Years Ago1.00infobox
Information Processing LanguageOSCross-platform: JOHNNIAC, IBM 650, IBM 704, IBM 70901.00infobox
Information Processing LanguageParadigmAssembly1.00infobox
Information Processing LanguageStable releaseIPL-V1.00infobox
listsinstance ofspecifically problem solving.0.80text
dynamic memory allocationinstance ofspecifically problem solving.0.80text
data typesinstance ofspecifically problem solving.0.80text
recursioninstance ofspecifically problem solving.0.80text
functions as argumentsinstance ofspecifically problem solving.0.80text
generatorsinstance ofspecifically problem solving.0.80text

Related concept clusters Concept neighborhoods

The concept neighborhoods around Information Processing Language bring nearby vocabulary together. In this analysis, examples include Processing, Language and Allen. Use the clusters to find adjacent concepts and terminology that may deserve separate research.

  • programming language
    • Newell
    • Functions
    • Processing
    • Languages
    • Lists
    • Shaw
    • Programming
    • Ipl
    • Symbols
    • Isbn
    • Lisp
    • Addresses
  • Information Processing Language
    • Processing
    • Language
    • Allen
    • Lists
    • Newell
    • Cliff
    • Herbert
    • Isbn
    • Functions
    • Lisp
    • List
    • Addresses
  • information processing language
    • Processing
    • Language
    • Newell
    • Allen
    • Lists
    • Shaw
    • Programming
    • Ipl
    • Cliff
    • Herbert
    • Isbn
    • Functions
  • data types
    • Field
    • Instruction
    • Used
    • Cell
    • Lists
    • Functions
    • Languages
    • Many
    • Several
    • Symb
    • Ipl
    • Symbol
  • allen newell
    • Newell
    • Shaw
    • Cliff
    • Herbert
    • Isbn
    • Simon
    • Information
    • Language
    • Processing
    • Programming
    • Ipl
    • Lisp
  • computer chess
    • Program
    • Set
    • Ipl-v
    • Ipl
    • Computers
    • Herbert
    • Lisp
    • Several
    • Instruction
    • Simon
    • Shaw
    • Programming
  • lisp
    • Symbols
    • Isbn
    • Addresses
    • Computing
    • Languages
    • Many
    • National
    • Set
    • Several
    • Simon
    • Lists
    • Programming
  • functions
    • Addresses
    • Languages
    • Lists
    • Programming
    • Lisp
    • Computing
    • Many
    • Set
    • Several
    • Language
    • Ipl
    • Symbols

Connections between topic areas Semantic bridges

For Information Processing Language, one of the stronger structural bridges in this analysis connects Information Processing Language with History. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.

Min side: 3
Information Processing Language — History · splits 19 ⟂ 17
Information Processing Language — Overview · splits 21 ⟂ 15
Information Processing Language — Sources · splits 33 ⟂ 3

Map overview Semantic statistics

Information Processing Language

Nodes36
Edges35
Triples39
Avg. degree1.94
Density0.055556
Components1

Source & methodology

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

Source: Wikipedia — Information Processing Language · EN edition · Analysis: TopicsToTalkAbout

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