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a short and accessible introduction to AI and computational
creativity written by a leading expert
a short and accessible introduction on AI and Art written by
leading experts
AI for Digital Warfare explores how the weaponising of artificial
intelligence can and will change how warfare is being conducted,
and what impact it will have on the corporate world. With
artificial intelligence tools becoming increasingly advanced, and
in many cases more humanlike, their potential in psychological
warfare is being recognised, which means digital warfare can move
beyond just shutting down IT systems into more all-encompassing
hybrid war strategies.
a short and accessible introduction to AI and computational
creativity written by a leading expert
AI for Digital Warfare explores how the weaponising of artificial
intelligence can and will change how warfare is being conducted,
and what impact it will have on the corporate world. With
artificial intelligence tools becoming increasingly advanced, and
in many cases more humanlike, their potential in psychological
warfare is being recognised, which means digital warfare can move
beyond just shutting down IT systems into more all-encompassing
hybrid war strategies.
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.
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.
Sigmund Freud's death drive remains among the most controversial
concepts in psychoanalysis, something which post-Freudians never
could reach consensus on. Over time, it fell into oblivion. Recent
developments, however, have actualized the interest in the death
drive as political upheavals and turmoil lead to societal
breakdowns that, according to reigning academic theory, should not
exist. It has become a burning and contentious topic. Existing
conflict theories generally unmask structural factors considered as
explanatory root causes, whether social, economic, or political in
nature, but, typically, these factors may have been in place for
decades. These models consistently fail to identify the triggers
that ignite abrupt change and what heralds it. Anecdotally, a
certain self-destructive sentiment seems to suddenly hold sway,
where the established order, the status quo, simply must be
destroyed, and the psychological urges to do so are too great to
resist. But why would individuals or collectives elect a
self-destructive path, which on a superficial level seems to
conflict with the survival instinct and the assumption of perpetual
human progress? Thus, the question must be posed: are these
manifestations of the death drive? The Death Drive: Why Societies
Self-Destruct offers an explanatory framework and methodology to
predict periods of destruction that often have grim effects on
societies, taking as its starting point the controversial death
drive concept. The book provides a model to understand and forecast
the seemingly irrational destructive human forces that hold such
great and sinister influence on world affairs.
This is a book for anyone intrigued by the complexities of digital
leadership that require a capability to constantly balance the
routines of everyday business with the ability to innovate. Finding
the appropriate mix between the dichotomy stability-flexibility has
been a delicate task that few, if any, corporations have properly
managed to overcome. Why is that? This conundrum becomes acute as
businesses embark on digital transformations, an often-painful
venture highlighting the deficiencies of traditional management
styles but also agile methodologies. They deliver results that are
far below initial expectations, provide half-baked digital
solutions where potential commercial gains are poorly captured and
leveraged, and, far too often, not even identified. Mismatches
between technologies, the man-machine (dis)connect, or
organizational dysfunctionality are typically identified as root
causes, but beneath them lurks a more scathing problem: an
inadequate leadership. This inadequacy rests on a lack of holistic
insights backed by well-rounded skills and sets of knowledge that
are required to understand all aspects of a digital transformation,
as well as its participants from employees to customers. Thus, what
is needed is a modern take of the Renaissance Man.
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