11. On Existential Graphs, F4

2019 ◽  
pp. 331-347
Keyword(s):  
Existential Graphs

Logical Principles of a Topological Explanation

2020 ◽  
Vol 16 (3) ◽  
pp. 493-514
Author(s):  
Ľudmila Lacková ◽  
Lukáš Zámečník
Keyword(s):  
Protein Folding ◽  
Philosophy Of Science ◽  
Scientific Representation ◽  
Logical System ◽  
Valid Method ◽  
Topological Explanation ◽  
Existential Graphs

AbstractWe aim to demonstrate the applicability of Peirce’s iconic logic in the context of current topological explanations in the philosophy of science. We hold that the logical system of Existential Graphs is similar to contemporary topological approaches, thereby recognizing Peirce’s iconic logic (Beta Graphs) as a valid method of scientific representation. We base our thesis on the nexus between iconic logic and the so-called NonReduction Theorem. We illustrate our assumptions with examples derived from biology (protein folding).

scholarly journals The existential graphs

1992 ◽  
Vol 23 (6-9) ◽  
pp. 639-663 ◽  
Author(s):  
Don D. Roberts
Keyword(s):  
Existential Graphs

scholarly journals From Existential Graphs to Conceptual Graphs

2014 ◽  
pp. 439-472
Author(s):  
John F. Sowa
Keyword(s):  
Natural Language ◽  
Computational Linguistics ◽  
Formal Semantics ◽  
Semantic Networks ◽  
Conceptual Graphs ◽  
Computationally Efficient ◽  
Graphic Notation ◽  
Neural Processes ◽  
Existential Graphs ◽  
The Mind

Existential graphs (EGs) are a simple, readable, and expressive graphic notation for logic. Conceptual graphs (CGs) combine a logical foundation based on EGs with features of the semantic networks used in artificial intelligence and computational linguistics. CG design principles address logical, linguistic, and cognitive requirements: a formal semantics defined by the ISO standard for Common Logic; the flexibility to support the expressiveness, context dependencies, and metalevel commentary of natural language; and cognitively realistic operations for reasoning by induction, deduction, abduction, and analogy. To accommodate the vagueness and ambiguities of natural language, informal heuristics can supplement the formal semantics. With sufficient background knowledge and a clarifying dialog, informal graphs can be refined to any degree of precision. Peirce claimed that the rules for reasoning with EGs generate “a moving picture of the action of the mind in thought.” Some philosophers and psychologists agree: Peirce's diagrams and rules are a good candidate for a natural logic that reflects the neural processes that support thought and language. They are psychologically realistic and computationally efficient.

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