 Название: The Virtual Mind: Designing the Logic to Approximate Human Thinking
Автор: Niklas Hageback
Издательство: Chapman and Hall/CRC
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2017
Страниц: 173
Язык: английский
Формат: pdf (true), djvu
Размер: 10.1 MB
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.
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The Virtual Mind: Designing the Logic to Approximate Human Thinking 
