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A detailed representation of KLEN construction within GNOT, including these associations, is illustrated below.
A detailed representation of KLEN construction within GNOT, including these associations, is illustrated below.


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[[File:Animation first render.mp4 | center|<gallery>
[[File:GNOT.png|thumb]]
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File:G-NOT with shadow.png
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[[File:G-NOT with shadow.png|thumb]]


==See also==
==See also==


*[[GTOM |'''Axiom #1''': The Human Brain and Multiple Networks]]  
*[[GTOM |'''Axiom #1''': The Human Brain and Multiple Networks]]
*[[OMAP|'''Hypothesis #3''': Gativus Hypothesis on the Cognitive Network and Objective Map (OMAP)]]
* [[OMAP|'''Hypothesis #3''': Gativus Hypothesis on the Cognitive Network and Objective Map (OMAP)]]
*[[OPNT|'''Hypothesis #4''': Gativus Operating Network (OPNT)]]
*[[OPNT|'''Hypothesis #4''': Gativus Operating Network (OPNT)]]

Revision as of 08:20, 16 December 2024

Hypothesis #2: Gativus Hypothesis on Consciousness, Mind, and Thought

Gativus hypothesizes that Consciousness, Mind, and Thought are grounded in a cognitive/knowledge network (GCON). This network is composed of:

  1. Knowledge Entities (KLEN), and
  2. Specific relations interconnecting these KLENs.

Definition and Inspiration for KLEN

The concept of KLEN is inspired by the Resource Description Framework (RDF) but extends it significantly to incorporate:

  • Behavioural activity capabilities, and
  • Support for multiple subjects and objects in its structure.

To describe the behavioral nature of KLENs effectively, UML activity diagrams and BPMN notation are considered the most mature and widely accepted tools. These notations align with the knowledge base of the majority of computer specialists and provide robust methodologies for modelling dynamic behaviours.

KLEN Construction and Representation

KLENs are constructed using the Gativus Network Notation (GNOT). Their design maintains associations with:

  • RDF principles, and
  • UML class and activity diagrams.

A detailed representation of KLEN construction within GNOT, including these associations, is illustrated below.

G-NOT with shadow.png

See also