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Interlisp: Companies, Adaptations & Overview
Interlisp (also seen with a variety of capitalizations) is a programming environment built around a version of the programming language Lisp. Interlisp development began in 1966 at Bolt, Beranek and Newman (renamed BBN Technologies) in Cambridge, Massachusetts with Lisp implemented for the Digital Equipment Corporation (DEC) PDP-1 computer by Danny…
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Interlisp topic overview
The analysis highlights Companies, Adaptations and Overview as prominent areas in the source structure around Interlisp.
Related topics
59
Source areas
3
Connected nodes
62
Extracted relationships
69
Concept neighborhoods
29
Bridge connections
62
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.
Adaptations · 36 topics
Overview · 22 topics
Publications · 1 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.
Family
Lisp
Final release
Medley 2.0 / February 1992; 34 years ago (1992-02)
First appeared
1968; 58 years ago (1968)
Implementation language
C
License
Proprietary
OS
TENEX, TOPS-20
Explore all related topics Closing gaps
A structured outline of related entities, concepts and subtopics. Open any item to build a new map centered on it.
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.
Deeper signals for content research, entity SEO and topical coverage. The plain-language headings explain what each technical view is useful for.
How Interlisp connects Entity context
Entity context groups extracted connections by relationship type. Counts show recurrence in the analyzed source; the examples are research signals, not claims about importance.
The extracted context around Interlisp shows recurring relationship patterns in the source. For example, Interlisp → American National Standards Institute, ANSI, At Xerox PARC, CLOS, Commercially, Common Lisp, Common Lisp Object System, Dandelion, Dandetiger, Daybreak, Dolphin, Dorado, However, Interlisp-D, Koto, Larry Masinter, Later, Lisp, LOOPS, Lyric Another extracted example is Interlisp → Artificial Intelligence, Interlisp Reference Manual, Kaisler, Language, LISP Machine, Peter Deutsch, Specification, Strother Moore, The Interlisp Virtual Machine, Third Joint Conference, Usage, Very Compact Programs, Warren Teitelman, Wiley-Interscience, Xerox. Use these groups to spot repeated connection types before inspecting the individual relationships.
Interlisp
Top relations
related to Adaptations· 31
Interlisp → American National Standards Institute, ANSI, At Xerox PARC, CLOS, Commercially, Common Lisp, Common Lisp Object System, Dandelion, Dandetiger, Daybreak, Dolphin, Dorado, However, Interlisp-D, Koto, Larry Masinter, Later, Lisp, LOOPS, Lyric
related to Publications· 15
Interlisp → Artificial Intelligence, Interlisp Reference Manual, Kaisler, Language, LISP Machine, Peter Deutsch, Specification, Strother Moore, The Interlisp Virtual Machine, Third Joint Conference, Usage, Very Compact Programs, Warren Teitelman, Wiley-Interscience, Xerox
related to External links· 12
Interlisp → Archived Interlisp, AtariAge, Blake McBride, Computer History Museum, Fortran, INTER-LISP/65 Archived, INTER-LISP/65AtariWiki, Linux, Mac OS, Mats Nordstrom, Wayback MachineMedley Interlisp ProjectMedley, Windows
related to Revitalization· 3
Interlisp → Medley Interlisp Project, The, The Medley Interlisp
Family· 1
Interlisp → Lisp
Final release· 1
Interlisp → Medley 2.0 / February 1992; 34 years ago (1992-02)
First appeared· 1
Interlisp → 1968; 58 years ago (1968)
Implementation language· 1
Interlisp → C
License· 1
Interlisp → Proprietary
OS· 1
Interlisp → TENEX, TOPS-20
Important terminology
Frequent words and multi-word phrases across the lead, headings, infobox and body. Useful for terminology coverage.
Use these terms to understand the vocabulary surrounding the topic, not as a checklist for keyword stuffing.
Relationships are represented as Subject → Predicate → Object triples. Confidence describes extraction strength, not the real-world importance of a relationship; lower-confidence rows may be contextual rather than explicit.
TTTA extracted 69 structured relationships around Interlisp. Examples in this analysis include Interlisp → Family → Lisp and Interlisp → Final release → Medley 2.0 / February 1992; 34 years ago (1992-02). The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Interlisp
Family
Lisp
1.00
infobox
Interlisp
Final release
Medley 2.0 / February 1992; 34 years ago (1992-02)
1.00
infobox
Interlisp
First appeared
1968; 58 years ago (1968)
1.00
infobox
Interlisp
Implementation language
C
1.00
infobox
Interlisp
License
Proprietary
1.00
infobox
Interlisp
OS
TENEX, TOPS-20
1.00
infobox
Interlisp
Paradigms
Multiparadigm: functional, procedural, object-oriented, declarative, reflective, meta
Concept neighborhoods group terms that sit near one another in the extracted graph. They are useful for discovering adjacent language and context, but proximity does not by itself imply a factual relationship.
The concept neighborhoods around Interlisp bring nearby vocabulary together. In this analysis, examples include Lisp, Machine and Teitelman. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Interlisp
Lisp
Machine
Teitelman
Warren
Bbn
Xerox
Computer
Deutsch
Development
Parc
Peter
University
interlisp
Lisp
Machine
Teitelman
Warren
Bbn
Xerox
Computer
Deutsch
Development
Parc
Peter
University
lisp
Xerox
Machines
System
Tenex
Tops-20
Became
Implementation
Renamed
Ai
Interlisp-d
Machine
Pdp-10
bbn technologies
Parc
Renamed
Pdp-10
Danny
Tenex
Tops-20
Implemented
Bobrow
Lisp
Xerox
Interlisp
Became
bbn lisp
Parc
Renamed
Pdp-10
Danny
Tenex
Tops-20
Implemented
Xerox
Bobrow
Machines
Lisp
System
xerox alto
Lisp
Implementation
Parc
Bbn
Medley
Software
Interlisp
Deutsch
Emulator
Machines
Peter
Ai
xerox
Lisp
Implementation
Parc
Bbn
Medley
Software
Interlisp
Deutsch
Emulator
Machines
Peter
Ai
lisp machines
Xerox
System
Machines
Tenex
Tops-20
Larry
Masinter
Renamed
Ai
Became
Implementation
Interlisp-d
Connections between topic areas Semantic bridges
Semantic bridges connect parts of the graph that would otherwise be more separate. A bridge is a structural signal in this analysis, not a claim that the two topic areas are equivalent.
For Interlisp, one of the stronger structural bridges in this analysis connects Interlisp with Adaptations. Bridges highlight paths between different parts of the map and can reveal research angles that are easy to miss in a flat list.
Number of nodes, edges, triples, density and central hubs. Use it to gauge the size and connectivity of the map.
Interlisp
Nodes63
Edges62
Triples69
Avg. degree1.97
Density0.031746
Components1
Source & methodology
TTTA analyzes the structure around Interlisp to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Companies, Adaptations & Overview, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
