The Virtual Mind

Designing the Logic to Approximate Human Thinking

Nonfiction, Computers, Advanced Computing, Theory, Programming, Systems Analysis, Entertainment & Games, Game Programming - Graphics
Cover of the book The Virtual Mind by Niklas Hageback, CRC Press
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: Niklas Hageback ISBN: 9781351681889
Publisher: CRC Press Publication: August 7, 2017
Imprint: Chapman and Hall/CRC Language: English
Author: Niklas Hageback
ISBN: 9781351681889
Publisher: CRC Press
Publication: August 7, 2017
Imprint: Chapman and Hall/CRC
Language: English

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.

View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

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.

More books from CRC Press

Cover of the book DOE Simplified by Niklas Hageback
Cover of the book Chromatin by Niklas Hageback
Cover of the book Large Covariance and Autocovariance Matrices by Niklas Hageback
Cover of the book Estimating for Builders and Surveyors by Niklas Hageback
Cover of the book Antioxidant Nutraceuticals by Niklas Hageback
Cover of the book Planning and Design of Engineering Systems by Niklas Hageback
Cover of the book CRC Standard Mathematical Tables and Formulas by Niklas Hageback
Cover of the book Meaning and Measurement in Comparative Housing Research by Niklas Hageback
Cover of the book Geomedicine (1990) by Niklas Hageback
Cover of the book DNA Nanoscience by Niklas Hageback
Cover of the book Background and Recent Developments of Metric Fixed Point Theory by Niklas Hageback
Cover of the book A Practical Guide to Managing Paediatric Problems on the Postnatal Wards by Niklas Hageback
Cover of the book Human Factors and Ergonomics of Prehospital Emergency Care by Niklas Hageback
Cover of the book Non-Invasive Instrumentation and Measurement in Medical Diagnosis by Niklas Hageback
Cover of the book Clinical Trial Optimization Using R by Niklas Hageback
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy