Artificial Mind System

Kernel Memory Approach

By: Tetsuya Hoya

Write A Review

Hardcover | 25 August 2005

At a Glance

Hardcover
296 Pages

Dimensions(cm)
23.5 x 16.51 x 2.54

Hardcover

$169.00

or 4 interest-free payments of $42.25 with

Ships in 5 to 7 business days

This book was written from an engineer's perspective of the mind. So far, although quite a large amount of literature on the topic of the mind has appeared from various disciplines; in this research monograph, the author tried to draw a picture of the holistic model of an artificial mind system and its behaviour, as concretely as possible, within a unified context, which could eventually lead to practical realisation in terms of hardware or software. With a view that "the mind is a system always evolving", ideas inspired / motivated from many branches of studies related to brain science are integrated within the text, i.e. artificial intelligence, cognitive science / psychology, connectionism, consciousness studies, general neuroscience, linguistics, pattern recognition / data clustering, robotics, and signal processing. The intention is then to expose the reader to a broad spectrum of interesting areas in general brain science / mind-oriented studies.

Shipping

	Standard Shipping	Express Shipping
Metro postcodes:	$9.99	$14.95
Regional postcodes:	$9.99	$14.95
Rural postcodes:	$9.99	$14.95

Orders over $79.00 qualify for free shipping.

How to return your order

At Booktopia, we offer hassle-free returns in accordance with our returns policy. If you wish to return an item, please get in touch with Booktopia Customer Care.

Additional postage charges may be applicable.

Defective items

If there is a problem with any of the items received for your order then the Booktopia Customer Care team is ready to assist you.

For more info please visit our Help Centre.

Other Editions and Formats

Paperback

Published: 8th November 2014

View Product

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)
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
Table of Contents provided by Publisher. All Rights Reserved.

Artificial Mind System

Kernel Memory Approach

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

Other Editions and Formats

Paperback

More in Data Mining

Microsoft Power BI For Dummies

For Dummies (Computer/Tech)

Tools and Applications of Data Mining

Big Data Analytics

A Practical Guide

Data Mining

Concepts, Techniques and Applications

Microsoft Excel 365 Bible

Bible

Data Visualization with Microsoft Power Bi

How to Design Savvy Dashboards

Modern Data Analytics in Excel

Using Power Query, Power Pivot and More for Enhanced Data Analytics

The Data Hero Playbook

Developing Your Data Leadership Superpowers

Data Science from Scratch

First Principles with Python

Learning Data Science

Data Wrangling, Exploration, Visualization, and Modeling with Python

High Performance Python

Practical Performant Programming for Humans

Data Strategy

How to Use Data and Artificial Intelligence to Transform Your Business

PostgreSQL : Up and Running

A Practical Guide to the Advanced Open Source Database : 3rd Edition

Web Scraping with Python

3rd Edition - Data Extraction from the Modern Web

Data Management at Scale

Modern Data Architecture with Data Mesh and Data Fabric

Vehicle Accident Analysis and Reconstruction Methods

Practical Statistics for Data Scientists

50+ Essential Concepts Using R and Python

Python for Data Analysis 3e

Data Wrangling with pandas, NumPy, and Jupyter

Feature Engineering for Machine Learning

Principles and Techniques for Data Scientists

Football Analytics with Python & R

Learning Data Science Through the Lens of Sports

SQL Tuning

O'Reilly Ser.

Data Mining and Predictive Analysis 2E

Intelligence Gathering and Crime Analysis

Be Data Analytical

How to Use Analytics to Turn Data into Value

Fundamentals of Data Observability

Implement Trustworthy End-To-End Data Solutions

This product is categorised by