Artificial Mind System - Kernel Memory Approach

• Main Author: Hoya, Tetsuya (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2005.
• Series: Studies in Computational Intelligence, 1
• Subjects: Computer science.; Computers.; Artificial intelligence.; Bioinformatics.; Statistical physics.; Dynamical systems.; Applied mathematics.; Engineering mathematics.; Vibration.; Dynamics.; Computer Science.; Theory of Computation.; Appl.Mathematics/Computational Methods of Engineering.; Artificial Intelligence (incl. Robotics).; Statistical Physics, Dynamical Systems and Complexity.; Vibration, Dynamical Systems, Control.

This book is written from an engineer's perspective of the mind. "Artificial Mind System" exposes the reader to a broad spectrum of interesting areas in general brain science and mind-oriented studies. In this research monograph a picture of the holistic model of an artificial mind sy...

Table of Contents:

• Part I: The Neural Foundations
• From Classical Connectionist Models to Probabilistic / Generalised Regression Neural Networks (PNNs / GRNNs)
• The Kernel Memory Concept – A Paradigm Shift from Conventional Connectionism
• The Self-Organising Kernel Memory (SOKM)
• Part II: Artificial Mind Systems
• The Artificial Mind System (AMS), Modules, and their Interactions
• Sensation and Perception Modules
• Learning in the AMS Context
• Memory Modules and the Innate Structure
• Language and Thinking Modules
• Modelling Abstract Notions Relevant to the Mind and Associated Modules
• Epilogue – Towards Developing a Realistic Sense of Artificial Intelligence.