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Max Bense: Art & Science
Max Bense (7 February 1910 in Straßburg – 29 April 1990 in Stuttgart) was a German philosopher, writer, and publicist, known for his work in philosophy of science, logic, aesthetics, and semiotics. His thoughts combine natural sciences, art, and philosophy under a collective perspective and follow a definition of reality, which – under the term…
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Max Bense topic overview
The analysis highlights Art and Science as prominent areas in the source structure around Max Bense.
Related topics
79
Source areas
5
Connected nodes
84
Extracted relationships
344
Related term clusters
16
Bridge connections
84
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.
Philosophy · 36 topics
Life · 32 topics
Overview · 9 topics
Publications · 1 topics
Secondary literature · 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.
Alma mater
University of Bonn
Born
Max Otto Bense (1910-02-07) 7 February 1910 (age 116) Straßburg, Alsace-Lorraine, German Empire
Died
29 April 1990(1990-04-29) (aged 80) Stuttgart, Baden-Württemberg, West Germany
Discipline
Philosophy
Doctoral advisor
Oskar Becker
Thesis
Quantenmechanik und Daseinsrelativität (1937)
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Advanced semantic analysis
How Max Bense 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 Max Bense shows recurring relationship patterns in the source. For example, Max Bense → Abschließender Traktat, Abschnitte, Abstraktionen, Aesthetik, Aesthetische Information, Agis, Allgemeine Texttheorie, Allgemeine Theorie, Anna Niekisch, Anwendung, Aphorismen, Arithmetik, Atheos, Atomen, Auffassungen, Auge Epikurs, Autoren, Baden-Baden, Begriff, Bercker Another extracted example is Max Bense → Angewandte Wissenschaftsrevison, Ausgewählte Beiträge, Barbara, Becker, Beiträge, Bemerkungen, Benses Kierkegaard, Berlin, Bielefeld, Bildung, Brief, Büscher, Christoph, Cologne/Weimar/Vienna, Computer Art Faszination, Das Programm, Daten, Datenbank, Der Essay, Deutsches Literaturarchiv Marbach ISBN. Use these groups to spot repeated connection types before inspecting the individual relationships.
Max Bense relationships Subject–Predicate–Object triples
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 344 structured relationships around Max Bense. Examples in this analysis include Max Bense → Alma mater → University of Bonn and Max Bense → Born → Max Otto Bense (1910-02-07) 7 February 1910 (age 116) Straßburg, Alsace-Lorraine, German Empire. The table shows each extracted connection, where it came from and its confidence.
Subject
Predicate
Object
Confidence
Src
Max Bense
Alma mater
University of Bonn
1.00
infobox
Max Bense
Born
Max Otto Bense (1910-02-07) 7 February 1910 (age 116) Straßburg, Alsace-Lorraine, German Empire
1.00
infobox
Max Bense
Died
29 April 1990(1990-04-29) (aged 80) Stuttgart, Baden-Württemberg, West Germany
1.00
infobox
Max Bense
Discipline
Philosophy
1.00
infobox
Max Bense
Doctoral advisor
Oskar Becker
1.00
infobox
Max Bense
Thesis
Quantenmechanik und Daseinsrelativität (1937)
1.00
infobox
Max Bense
related to Publications
German
0.60
section
Max Bense
related to Publications
Raum
0.60
section
Max Bense
related to Publications
Ich
0.60
section
Max Bense
related to Publications
Eine Philosophie
0.60
section
Max Bense
related to Publications
Luken
0.60
section
Max Bense
related to Publications
Berlin
0.60
section
No triples extracted yet.
Related concept clusters Related term clusters
Related term clusters 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 Max Bense bring nearby vocabulary together. In this analysis, examples include Max, Eckardt and Michael. Use the clusters to find adjacent concepts and terminology that may deserve separate research.
Max Bense
Max
Eckardt
Michael
Isbn
Ed
Von
Und
Concept
Die
Art
Aus
Science
max bense
Max
Eckardt
Michael
Isbn
Ed
Von
Und
Philosophy
Concept
Die
Elisabeth
Art
max scheler
Eckardt
Michael
Isbn
Ed
Von
Und
Die
Art
Aus
Science
Walther
German
cologne
Kiepenheuer
Witsch
Staufen
Berlin
Der
Ästhetik
Und
Die
Des
Aus
Das
Walther
elisabeth walther
Walther
German
Isbn
Philosophy
Agis
Baden-baden
Die
Ästhetik
Ed
Max
Language
Science
berlin
Kiepenheuer
Witsch
Cologne
Der
Aus
Isbn
Die
Ästhetik
Eckardt
Mathematik
Michael
Philosophie
stuttgart
Verlags-anstalt
Und
Ed
Von
Agis
Baden-baden
Isbn
Das
Walther
Ästhetik
Eckardt
Michael
university of stuttgart
Verlags-anstalt
Und
Ed
Von
Agis
Baden-baden
Isbn
Das
Walther
Ästhetik
Eckardt
Michael
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 Max Bense, one of the stronger structural bridges in this analysis connects Max Bense with Philosophy. 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.
Max Bense
Nodes85
Edges84
Triples344
Avg. degree1.98
Density0.023529
Components1
Source & methodology
TTTA analyzes the structure around Max Bense to surface related topics, entities, relationships, concept neighborhoods and bridge connections. Use the map to explore areas such as Art & Science, including less central topics that may reveal useful research gaps. Automatically extracted connections are research leads rather than rewritten encyclopedia content.
