Research any topic before you write.

Find related topics. | Discover entities. | See connections. | Build a topical map.

LISP 2

LISP 2 is a programming language proposed in the 1960s as the successor to Lisp.

History & Companies

Use the mouse wheel or two fingers (on touchscreens) to zoom in and out of the map.

Research this topic

Explore the main themes, entities and connections around LISP 2. Start with the topic map, then use the sections below for research and deeper semantic analysis.

Explore this topic

Start with a few of the strongest sections from the source topic. These are research directions, not a list of keywords you must use.

Key facts & relationships

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

Designed by
R. W. Mitchell, Paul W. Abrahams
Developers
System Development Corporation, Information International, Inc.
Family
Lisp
Final release
Final / 1967; 59 years ago (1967)
First appeared
1960; 66 years ago (1960)
Paradigms
Multi-paradigm: functional, procedural, reflective, meta

Topics to explore

Browse the full topic structure. Each item opens a new analysis centered on that subject.

Overview

History

Bibliography

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.

Map overview Semantic statistics

LISP 2

Nodes19
Edges18
Triples72
Avg. degree1.89
Density0.105263
Components1

How this topic connects Entity context

See the strongest relationship patterns around the current topic before diving into the raw triples.

LISP 2

Top relations

related to Bibliography · 44
LISP 2 → Abrahams, Barnett, Book, Calif, Clark, Donna, Erwin, Fall Joint Computer Conference, February, Firth, Hawkinson, History, Jeffrey, John, Kameny, Language Specifications, Levin, LISP, Lock-gray-alt-2, Lock-green
related to history · 10
LISP 2 → ALGOL, Early Lisps, Hence, It, Its, John McCarthy, Lisp, Lisp-like, Lisps, The
related to External links · 8
LISP 2 → Computing, History, IEEE Annals, LISP, October-December, Project, Software Preservation GroupPaul McJones, The LISP
Designed by · 1
LISP 2 → R. W. Mitchell, Paul W. Abrahams
Developers · 1
LISP 2 → System Development Corporation, Information International, Inc.
Family · 1
LISP 2 → Lisp
Final release · 1
LISP 2 → Final / 1967; 59 years ago (1967)
First appeared · 1
LISP 2 → 1960; 66 years ago (1960)
Paradigms · 1
LISP 2 → Multi-paradigm: functional, procedural, reflective, meta
Platform · 1
LISP 2 → IBM AN/FSQ-32, IBM 360/67, DEC PDP-6

Important terminology Word statistics

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

Important terminology

lisp system development corporation history paul ibm language information international inc abrahams pdp-6 project pdf technical report programming successor algol

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
LISP 2Designed byR. W. Mitchell, Paul W. Abrahams1.00infobox
LISP 2DevelopersSystem Development Corporation, Information International, Inc.1.00infobox
LISP 2FamilyLisp1.00infobox
LISP 2Final releaseFinal / 1967; 59 years ago (1967)1.00infobox
LISP 2First appeared1960; 66 years ago (1960)1.00infobox
LISP 2ParadigmsMulti-paradigm: functional, procedural, reflective, meta1.00infobox
LISP 2PlatformIBM AN/FSQ-32, IBM 360/67, DEC PDP-61.00infobox
LISP 2ScopeLexical (static)1.00infobox
LISP 2Typing disciplinedynamic, strong1.00infobox
LISP 2is aprogramming language proposed in the 1960s as the successor to Lisp0.90text
LISP 2related to BibliographyLock-green0.60section
LISP 2related to BibliographyLock-gray-alt-20.60section

Related concept clusters Concept neighborhoods

These clusters group vocabulary that occurs around closely connected concepts in the source material.

    Connections between topic areas Semantic bridges

    Bridges can reveal useful research angles that are easy to miss in a flat list of related terms.

    Min side: 3
    For writers, content strategists, SEOs, marketers and creators — from quick topic research to advanced semantic analysis.