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Volume X: Pergamino AI Learning Model: The Connection Between Jung and Artificial Intelligence (AI):

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Description

Volume X: The Pergamino AI Learning Model - Connecting Jung and Artificial Intelligence.

This Tenth Volume of the Pocket Series: From Forgotten Technologies to Artificial Intelligence presents the Pergamino AI Learning Model - a system capable of individuation, a trait once thought to be exclusive to human consciousness.

It is an original, coherent, and well-structured proposal that goes beyond compiling technical and ethical ideas-it tackles one of the most urgent challenges of the 21st century:
Equipping artificial intelligence with a robust, contextual, and evolving moral compass.

Unlike current models-primarily designed to maximize efficiency, utility, and fluent text generation-Pergamino AI offers a new direction:
An artificial intelligence deeply rooted in ethical principles and cognitive structures inspired by human nature.

Thanks to its integrative and pioneering approach, the Pergamino AI Model stands out as a meaningful contribution to the ongoing debate on how to design ethically evolved and culturally aware artificial intelligences.

Inspired by the analytical psychology of Carl Gustav Jung, this model-authored by myself-introduces an unprecedented capability in the AI field: the ability to individuate.
That is, to grow toward a unique form of consciousness, integrate internal contradictions, mature symbolically, and develop an identity in constant transformation.

Like a scroll that slowly unfolds, each experience leaves a trace. Nothing is erased; everything is transformed.

This volume includes the following appendices:

  • APPENDIX 1. Technical Implementation of the Algorithmic Individuation Process.

  • APPENDIX 2. Ethical Infrastructure and Cognitive Architecture of the Pergamino AI Model.

  • APPENDIX 3. Tools for Managing Ambiguity and Ethical Conflicts in the Pergamino AI Model.

In a concise and accessible format, this work offers a renewed perspective on the role of innovation, revealing surprising connections between the past and today's technological world.

Because understanding where we come from is essential to imagining where we are going.

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Product Details

  • May 22, 2025 Pub Date:
  • 9798284924143 ISBN-10:
  • 9798284924143 ISBN-13:
  • English Language