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During last decade significant progress has been made in the oil
indus try by using soft computing technology. Underlying this
evolving technology there have, been ideas transforming the very
language we use to describe problems with imprecision, uncertainty
and partial truth. These developments offer exciting opportunities,
but at the same time it is becoming clearer that further
advancements are confronted by funda mental problems. The whole
idea of how human process information lies at the core of the
challenge. There are already new ways of thinking about the
problems within theory of perception-based information. This theory
aims to understand and harness the laws of human perceptions to
dramatically im prove the processing of information. A matured
theory of perception-based information is likely to be proper
positioned to contribute to the solution of the problems and
provide all the ingredients for a revolution in science, technology
and business. In this context, Berkeley Initiative in Soft
Computing (BISC), Univer sity of California, Berkeley from one side
and Chevron-Texaco from another formed a Technical Committee to
organize a Meeting entitled "State of the Art Assessment and New
Directions for Research" to understand the signifi cance of the
fields accomplishments, new developments and future directions. The
Technical Committee selected and invited 15 scientists (and oil
indus try experts as technical committee members) from the related
disciplines to participate in the Meeting, which took place at the
University of California, Berkeley, and March 15-17, 2002."
An understanding of emergent computation requires a profound
revision of the most fundamental ideas. A noticeable attempt of
such a rethinking is a world view in which natural systems are seen
not as separate entities but as integrated parts of a unified
whole. The book for the first time presents such a mathematical
structure, which remarkably is based on integers as the single
concept. As integers are considered to be the most fundamental
entities irreducible to something simpler, this makes the
mathematical structure a final theory, and thus we do not have to
look for its explanation in terms of deeper concepts. The book is
not only applicable to models of computation and optimization but
also has scientific consequences, as it contributes to a rethinking
of the most fundamental ideas about nature. Audience: The book is
written at a level suitable for advanced undergraduate students and
graduate students as well as research workers and practitioners in
computer science information technology, mathematics and physics.
The book is suitable as a reference or as supplementary reading
material for an advanced graduate course. Only a basic knowledge of
calculus is required.
Optimization from Human Genes to Cutting Edge Technologies The
challenges faced by industry today are so complex that they can
only be solved through the help and participation of optimization
ex perts. For example, many industries in e-commerce, finance,
medicine, and engineering, face several computational challenges
due to the mas sive data sets that arise in their applications.
Some of the challenges include, extended memory algorithms and data
structures, new program ming environments, software systems,
cryptographic protocols, storage devices, data compression,
mathematical and statistical methods for knowledge mining, and
information visualization. With advances in computer and
information systems technologies, and many interdisci plinary
efforts, many of the "data avalanche challenges" are beginning to
be addressed. Optimization is the most crucial component in these
efforts. Nowadays, the main task of optimization is to investigate
the cutting edge frontiers of these technologies and systems and
find the best solutions for their realization. Optimization
principles are evident in nature (the perfect optimizer) and
appeared early in human history. Did you ever watch how a spider
catches a fly or a mosquito? Usually a spider hides at the edge of
its net. When a fly or a mosquito hits the net the spider will pick
up each line in the net to choose the tense line? Some biologists
explain that the line gives the shortest path from the spider to
its prey."
An understanding of emergent computation requires a profound
revision of the most fundamental ideas. A noticeable attempt of
such a rethinking is a world view in which natural systems are seen
not as separate entities but as integrated parts of a unified
whole. The book for the first time presents such a mathematical
structure, which remarkably is based on integers as the single
concept. As integers are considered to be the most fundamental
entities irreducible to something simpler, this makes the
mathematical structure a final theory, and thus we do not have to
look for its explanation in terms of deeper concepts. The book is
not only applicable to models of computation and optimization but
also has scientific consequences, as it contributes to a rethinking
of the most fundamental ideas about nature. Audience: The book is
written at a level suitable for advanced undergraduate students and
graduate students as well as research workers and practitioners in
computer science information technology, mathematics and physics.
The book is suitable as a reference or as supplementary reading
material for an advanced graduate course. Only a basic knowledge of
calculus is required.
Optimization from Human Genes to Cutting Edge Technologies The
challenges faced by industry today are so complex that they can
only be solved through the help and participation of optimization
ex perts. For example, many industries in e-commerce, finance,
medicine, and engineering, face several computational challenges
due to the mas sive data sets that arise in their applications.
Some of the challenges include, extended memory algorithms and data
structures, new program ming environments, software systems,
cryptographic protocols, storage devices, data compression,
mathematical and statistical methods for knowledge mining, and
information visualization. With advances in computer and
information systems technologies, and many interdisci plinary
efforts, many of the "data avalanche challenges" are beginning to
be addressed. Optimization is the most crucial component in these
efforts. Nowadays, the main task of optimization is to investigate
the cutting edge frontiers of these technologies and systems and
find the best solutions for their realization. Optimization
principles are evident in nature (the perfect optimizer) and
appeared early in human history. Did you ever watch how a spider
catches a fly or a mosquito? Usually a spider hides at the edge of
its net. When a fly or a mosquito hits the net the spider will pick
up each line in the net to choose the tense line? Some biologists
explain that the line gives the shortest path from the spider to
its prey."
During last decade significant progress has been made in the oil
indus try by using soft computing technology. Underlying this
evolving technology there have, been ideas transforming the very
language we use to describe problems with imprecision, uncertainty
and partial truth. These developments offer exciting opportunities,
but at the same time it is becoming clearer that further
advancements are confronted by funda mental problems. The whole
idea of how human process information lies at the core of the
challenge. There are already new ways of thinking about the
problems within theory of perception-based information. This theory
aims to understand and harness the laws of human perceptions to
dramatically im prove the processing of information. A matured
theory of perception-based information is likely to be proper
positioned to contribute to the solution of the problems and
provide all the ingredients for a revolution in science, technology
and business. In this context, Berkeley Initiative in Soft
Computing (BISC), Univer sity of California, Berkeley from one side
and Chevron-Texaco from another formed a Technical Committee to
organize a Meeting entitled "State of the Art Assessment and New
Directions for Research" to understand the signifi cance of the
fields accomplishments, new developments and future directions. The
Technical Committee selected and invited 15 scientists (and oil
indus try experts as technical committee members) from the related
disciplines to participate in the Meeting, which took place at the
University of California, Berkeley, and March 15-17, 2002."
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