Neural Nets
A Theory for Brains and Machines
By: Armando Freitas Rocha
About This Book
"The purpose of this book is to develop neural nets as a strong theory for both brains and machines. The theory is developed in close correlation with the biology of the neuron and the properties of human reasoning. This approach implies the following: - Updating the biology of the artificialneuron. The neurosciences have experienced a tremendous development in the last 50 years. One of the main purposes of the present work is toincorporate this knowledge into a strong model of the artificial neuron. Particular attention is devoted to formalizing the complex chemical processes at the synaptic level. This formal language supports both symbolicreasoning and uncertainty processing. - Investigating the properties of expert reasoning. This kind of reasoning is approximate, partial and non-monotonic, and therefore requires special mathematical tools for its formalization, such as fuzzy set theory and fuzzy logic. Three different intelligent systems developed with this technology are presented and discussed."--PUBLISHER'S WEBSITE.
AI Overview
The book "Neural Nets: A Theory for Brains and Machines" by Armando Freitas Rocha is a comprehensive treatise on neural networks, aiming to develop a strong theoretical framework that correlates neural networks with both biological brains and artificial machines. Here is a detailed overview of the book:
Key Themes
- Neural Networks Theory: The primary focus of the book is to establish a unified theory for neural networks, exploring their applications in both biological systems (brains) and artificial systems (machines) .
- Correlation with Brains: The author seeks to understand how neural networks in the brain function and how these principles can be applied to develop more sophisticated artificial neural networks .
- Machine Learning: The book likely discusses various aspects of machine learning, including pattern recognition, decision-making processes, and the potential for neural networks in machine intelligence .
Plot Summary
Given the book's focus on theoretical development, there isn't a traditional narrative plot. Instead, it delves into the theoretical foundations and mathematical frameworks necessary for understanding and implementing neural networks. The book likely includes:
- Mathematical Formulations: Detailed mathematical models and equations that describe the behavior of neural networks.
- Biological Correlations: Explorations of how biological brains use neural networks to process information.
- Artificial Applications: Discussions on how these principles can be applied to create more efficient and intelligent artificial systems.
Critical Reception
While specific reviews are not provided in the sources, the book's purpose and scope suggest it would be well-received by researchers and students in the fields of neuroscience, artificial intelligence, and machine learning. The book's publication by Springer, a reputable academic publisher, further supports its credibility and potential impact in the scientific community .
Publication Details
- Title: Neural Nets: A Theory for Brains and Machines
- Author: Armando Freitas Rocha
- Publisher: Springer
- Publication Year: 1992
- Edition: 1st Edition
- Pages: 393 pages
The book is part of the Lecture Notes in Computer Science series, indicating its academic rigor and relevance to the field of computer science and artificial intelligence .