Research any topic before you write.

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

Planner (programming language)

Planner (often seen in publications as "PLANNER" although it is not an acronym) is a programming language designed by Carl Hewitt at MIT, and first published in 1969. First, subsets such as Micro-Planner and Pico-Planner were implemented, and then essentially the whole language was implemented as Popler by Julian Davies at the University of Edinburgh in…

The genesis of Prolog, Micro-planner implementation & Procedural embedding of knowledge

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 Planner (programming language). 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.

The genesis of Prolog

Gerry SussmanSeymour PapertEdinburghPat HayesResulting report
13 related topics

Micro-planner implementation

Gerry SussmanEugene CharniakTerry WinogradSHRDLUSRI International
12 related topics

Procedural embedding of knowledge

Clausal formForward chainingBackward chainingNatural deductiveLogical systems
6 related topics

Procedural approach versus logical approach

ProceduralLogicalLispResolution-based derivation (proof) finders
4 related topics

Key facts & relationships

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

Designed by
Carl Hewitt
First appeared
1969; 57 years ago (1969)
Paradigm
Multi-paradigm: logic, procedural

Topics to explore

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

Overview

Procedural approach versus logical approach

Procedural embedding of knowledge

Micro-planner implementation

The genesis of Prolog

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

Planner (programming language)

Nodes50
Edges49
Triples10
Avg. degree1.96
Density0.04
Components1

How this topic connects Entity context

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

Planner (programming language)

Top relations

Designed by · 1
Planner (programming language) → Carl Hewitt
First appeared · 1
Planner (programming language) → 1969; 57 years ago (1969)
Paradigm · 1
Planner (programming language) → Multi-paradigm: logic, procedural

Important terminology Word statistics

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

Important terminology

planner procedural prolog micro-planner language logical resolution programming edinburgh knowledge paradigm negation following qa4 proof implemented carl hewitt qlisp first

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Planner (programming language)Designed byCarl Hewitt1.00infobox
Planner (programming language)First appeared1969; 57 years ago (1969)1.00infobox
Planner (programming language)ParadigmMulti-paradigm: logic, procedural1.00infobox
Micro-Plannerinstance ofsubsets0.80text
Pico-Planner were implementedinstance ofsubsets0.80text
and then essentially the whole language was implemented as Popler by Julian Davies at the University of Edinburgh in the POP-2 programming languageinstance ofsubsets0.80text
QA4instance ofDerivations0.80text
Conniverinstance ofDerivations0.80text
QLISPinstance ofDerivations0.80text
Etherinstance ofDerivations0.80text

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.