Create of a Neural Network Model with Alterable Density

[Cyber-Dani]

Context

Dr. W. Stegemann is an emerging figure in the Neo-Cybernetics movement, known for his theories around the nature of life, intelligence and consciousness.

With a deep-rooted passion for Systems Science, Biology, Artificial Intelligence, and the intersection of philosophy and technology, Dr. Stegemann has recently joined the Neo-Cybernetic movement to pursue the quest for holistic understanding in the 21st century.

In one of his recent articles, Dr. Stegemann mentions that life can only be understood as a structure or system, which implies complexity beyond mere individual components. He also introduces the idea of the "attractor" that represents the subject status of a system, noting that this attractor can change not just in relation to external variables but by itself. He further describes the state of such a system as a value in the form of structure (or information) density.

The concept of structure or system complexity and the mutable nature of the attractor indicates the potential dynamics and adaptability required in any model representing life or consciousness.

When Dr. Stegemann speaks of structure density or information density, it correlates to the neural network model's density.

The ability to change the density might emulate the biological systems' adaptability, representing the fluctuating structure or information density he refers to.

Hypotheses

Dr. Stegemann emphasizes the need for a distinct biological model that captures the essence of life beyond just the physical constructs. He asserts that life isn't just complex but agentive, dynamic, and ever-evolving, necessitating its own distinct paradigm, paradigm that can be found in Neo-Cybernetics.

Objectives

One of his objectives is to prove his hypotheses around the need for a new model that can create an artificial neural network with changeable density.

Requirements

• Molecular Biology Researchers
• Machine Learning Engineers specialized in neural architectures and Deep Learning.
• Machine Learning Researchers

If interested in this research, please feel free to add a comment below or to reach out at hello@neo-cybernetics.org by using the subject Neural Network Model with Alterable Density.