The Virtual Mind: Designing the Logic to Approximate Human Thinking

Niklas Hageback

July 28, 2017 by Chapman and Hall/CRC
Reference - 162 Pages - 12 B/W Illustrations
ISBN 9781138054028 - CAT# K33194
Series: Chapman & Hall/CRC Artificial Intelligence and Robotics Series

USD$49.95

Add to Wish List
FREE Standard Shipping!

Features

• Provides the historical background to the various theories of the mind, from the ancient Greeks to Freudian and Jungian theories up till the most recent findings in modern psychology, including neuropsychoanalysis
• Presents and details the distinct components of the mind; the conscious and the unconscious parts with its distinct logic systems, its separate absorptions of perceptions, and the mechanism that incorporates and governs these thought systems into a holistic mind
• Reviews how a big data approach of public media can be used to test and formulate the rules and dynamic constants that defines the interaction between the conscious and unconscious parts of the mind
• Summarizes in a digested manner the meta model for a virtual mind which gives the reader a computer architecture blueprint to develop machine generated human thinking

Summary

The Virtual Mind: Designing the Logic to Approximate Human Thinking, through an in-depth and multidisciplinary review, outlines and defines the underpinnings for modelling human thinking through
approximating the mind. Whilst there are plenty of efforts underway trying to mimic the brain, its complexities have so far proven insurmountable. But replicating the abstract notion of the mind provides a viable and quicker route. Broadly, the mind consists of a conscious and an unconscious part with separate logic schemes and these absorbs reality in diverging chunks, with the former truncated through narratives and norms and the latter able to amass broader perceptions of reality. These are held together and controlled through a governing mechanism. With the replication and establishment of the mind’s mechanistic rules and dynamic constants, tested through a big data approach from public media, it allows for standardization and machine generated human thinking, a Virtual Mind.

A virtual mind is able to cover a wide array of applications, in particular forecasting of human behavior and decision-making. In essence, the whole socioeconomic spectra can be captured, including politics, financial markets and consumer patterns. Another area of potential application would be to augment various game software and of course, it would be applicable for the man-machine connect.

The book guides the reader on how to develop and produce a machine generated virtual mind in a step-by-step manner. It is a must for anyone with an interest in artificial intelligence, the design and construction of the next generation of computer logic and it provides an enhanced understanding of mankind’s greatest mystery, the workings of the mind.

 

Niklas Hageback has extensive experience of risk modelling and financial analytics working at tier-one financial institutions and consulting firms, such as Deutsche Bank, KPMG, and Goldman Sachs, where he held regional executive risk management and oversight roles in both Europe and Asia.