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The Virtual Mind - Designing the Logic to Approximate Human Thinking (Hardcover)
Loot Price: R4,422
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The Virtual Mind - Designing the Logic to Approximate Human Thinking (Hardcover)
Series: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Expected to ship within 12 - 17 working days
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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.
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