Research any topic before you write.

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

Commonsense knowledge (artificial intelligence)

In artificial intelligence research, commonsense knowledge consists of facts about the everyday world, such as "Lemons are sour" or "Cows say moo", that all humans are expected to know. It is currently an unsolved problem in artificial general intelligence. The first AI program to address common sense knowledge was Advice Taker in 1959 by John McCarthy.

Applications & Art

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 Commonsense knowledge (artificial intelligence). 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.

Data

11 related topics

Applications

5 related topics

Commonsense reasoning

3 related topics

Commonsense knowledge bases

3 related topics

Topics to explore

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

Overview

Commonsense reasoning

Commonsense knowledge base construction

Applications

Data

Commonsense knowledge bases

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

Commonsense knowledge (artificial intelligence)

Nodes43
Edges42
Triples3
Avg. degree1.95
Density0.046512
Components1

How this topic connects Entity context

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

Important terminology Word statistics

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

Important terminology

knowledge commonsense ai also common sense reasoning conceptnet truth maintenance world know language intelligence system natural information make artificial everyday

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
the Winograd Schema Challengeinstance ofbenchmark tests0.80text
natural language processinginstance ofCommon sense reasoning has been applied successfully in more limited domains0.80text
automated diagnosis or analysisinstance ofCommon sense reasoning has been applied successfully in more limited domains0.80text

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.