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Scientists have always attempted to explain the world in terms
of a few unifying principles. In the fifth century B.C. Democritus
boldly claimed that reality is simply a collection of indivisible
and eternal parts or atoms. Over the centuries his doctrine has
remained a landmark, and much progress in physics is due to its
distinction between subjective perception and objective reality.
This book discusses theory reduction in physics, which states that
the whole is nothing more than the sum of its parts: the properties
of things are directly determined by their constituent parts.
Reductionism deals with the relation between different theories
that address different levels of reality, and uses extrapolations
to apply that relation in different sciences. Reality shows a
complex structure of connections, and the dream of a unified
interpretation of all phenomena in several simple laws continues to
attract anyone with genuine philosophical and scientific interests.
If the most radical reductionist point of view is correct, the
relationship between disciplines is strictly inclusive: chemistry
becomes physics, biology becomes chemistry, and so on. Eventually,
only one science, indeed just a single theory, would survive, with
all others merging in the Theory of Everything. Is the current
coexistence of different sciences a mere historical venture which
will end when the Theory of Everything has been established? Can
there be a unified description of nature?
Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows. The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.
Scientists have always attempted to explain the world in terms of a few unifying principles. In the fifth century B.C. Democritus boldly claimed that reality is simply a collection of indivisible and eternal parts or atoms. Over the centuries his doctrine has remained a landmark, and much progress in physics is due to its distinction between subjective perception and objective reality. This book discusses theory reduction in physics, which states that the whole is nothing more than the sum of its parts: the properties of things are directly determined by their constituent parts. Reductionism deals with the relation between different theories that address different levels of reality, and uses extrapolations to apply that relation in different sciences. Reality shows a complex structure of connections, and the dream of a unified interpretation of all phenomena in several simple laws continues to attract anyone with genuine philosophical and scientific interests. If the most radical reductionist point of view is correct, the relationship between disciplines is strictly inclusive: chemistry becomes physics, biology becomes chemistry, and so on. Eventually, only one science, indeed just a single theory, would survive, with all others merging in the Theory of Everything. Is the current coexistence of different sciences a mere historical venture which will end when the Theory of Everything has been established? Can there be a unified description of nature? Rather than an analysis of full reductionism, this book focuses on aspects of theory reduction in physics and stimulates reflection on related questions: is there any evidence of actual reduction? Are the examples used in the philosophy of science too simplistic? What has been endangered by the search for (the) ultimate truth? Has the dream of reductionist reason created any monsters? Is big science one such monster? What is the point of embedding science Y within science X, if predictions cannot be made on that basis?
Since their first introduction in natural sciences through the work of Einstein on Brownian motion in 1905 and further works, in particular by Langevin, Smoluchowski and others, stochastic processes have been used in several areas of science and technology. For example, they have been applied in chemical studies, or in fluid turbulence and for combustion and reactive flows. The articles in this book provide a general and unified framework in which stochastic processes are presented as modeling tools for various issues in engineering, physics and chemistry, with particular focus on fluid mechanics and notably dispersed two-phase flows. The aim is to develop what can referred to as stochastic modeling for a whole range of applications.
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