The Practical Peirce: An Introduction to the Triadic Continuum Implemented as a Computer Data Structure

John Zuchero

ISBN 10: 0595441122 / ISBN 13: 9780595441129

Editore: iUniverse 2007-06-12, 2007

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Codice articolo 6666-IUK-9780595441129

Dati bibliografici

• Titolo: The Practical Peirce: An Introduction to the Triadic Continuum Implemented as a Computer Data Structure
• Editore: iUniverse 2007-06-12
• Data di pubblicazione: 2007
• Lingua: Inglese
• ISBN 10: 0595441122
• ISBN 13: 9780595441129
• Rilegatura: Paperback
• Condizione: New

Descrizione articolo

Riassunto

The Triadic Continuum is the invention of Jane Mazzagatti, a mathematician and software engineer. Mazzagatti came upon the idea for this new computer data structure, which is based on the work of Charles Peirce, while working on a project for Unisys Corporation. This same structure has proven commercially valuable in the efficient way it stores and allows for the analysis of large datasets. However, while learning about the nature of the structure she discovered more far-reaching implications to areas other than computer science. Charles Peirce was fascinated with how the mind reasons and with all of the scientific and philosophical implications of the mechanisms of how the brain records experience, constructs memories, and accesses previously stored experience and knowledge. Mazzagatti believes that she has rediscovered the structure of the Triadic Continuum, which is the foundation of many of Peirce's key theories dealing with human reasoning and the logic of thought.In this book the author, who worked with Mazzagatti writing patents for the invention, explains how this structure is unlike any other computer data structure or type of Artificial Intelligence-but more importantly why this structure may very well be a model for human cognition.

L'autore

John Zuchero is a freelance writer and communications consultant. He has a background in Biology and instructional design and experience in computer software training and documentation. He has written on topics in biology, computer science, and technical communication and has developed training in Artificial Intelligence, expert systems, and computer software.