|
Showing 1 - 6 of
6 matches in All Departments
Marking the 30th anniversary of the European Conference on
Modelling and Simulation (ECMS), this inspirational text/reference
reviews significant advances in the field of modelling and
simulation, as well as key applications of simulation in other
disciplines. The broad-ranging volume presents contributions from a
varied selection of distinguished experts chosen from high-impact
keynote speakers and best paper winners from the conference,
including a Nobel Prize recipient, and the first president of the
European Council for Modelling and Simulation (also abbreviated to
ECMS). This authoritative book will be of great value to all
researchers working in the field of modelling and simulation, in
addition to scientists from other disciplines who make use of
modelling and simulation approaches in their work.
Marking the 30th anniversary of the European Conference on
Modelling and Simulation (ECMS), this inspirational text/reference
reviews significant advances in the field of modelling and
simulation, as well as key applications of simulation in other
disciplines. The broad-ranging volume presents contributions from a
varied selection of distinguished experts chosen from high-impact
keynote speakers and best paper winners from the conference,
including a Nobel Prize recipient, and the first president of the
European Council for Modelling and Simulation (also abbreviated to
ECMS). This authoritative book will be of great value to all
researchers working in the field of modelling and simulation, in
addition to scientists from other disciplines who make use of
modelling and simulation approaches in their work.
This book is about Granular Computing (GC) - an emerging conceptual
and of information processing. As the name suggests, GC concerns
computing paradigm processing of complex information entities -
information granules. In essence, information granules arise in the
process of abstraction of data and derivation of knowledge from
information. Information granules are everywhere. We commonly use
granules of time (seconds, months, years). We granulate images;
millions of pixels manipulated individually by computers appear to
us as granules representing physical objects. In natural language,
we operate on the basis of word-granules that become crucial
entities used to realize interaction and communication between
humans. Intuitively, we sense that information granules are at the
heart of all our perceptual activities. In the past, several formal
frameworks and tools, geared for processing specific information
granules, have been proposed. Interval analysis, rough sets, fuzzy
sets have all played important role in knowledge representation and
processing. Subsequently, information granulation and information
granules arose in numerous application domains. Well-known ideas of
rule-based systems dwell inherently on information granules.
Qualitative modeling, being one of the leading threads of AI,
operates on a level of information granules. Multi-tier
architectures and hierarchical systems (such as those encountered
in control engineering), planning and scheduling systems all
exploit information granularity. We also utilize information
granules when it comes to functionality granulation, reusability of
information and efficient ways of developing underlying information
infrastructures.
Information granules and their processing permeate a way in which
we perceive the world, carryout processing at the conceptual
(abstract) level, and communicate our findings to the surrounding
environment. The importance of information granulation becomes even
more apparent when we are faced with a rapidly growing flood of
data, become challenged to make decisions in complex data settings
and are required to appreciate the context from which the data is
derived. Human centricity of systems that claim to be "intelligent"
and the granular computing come hand in hand. It is not surprising
at all to witness that the paradigm of Granular Computing has
started to gain visibility and continues along this path by
gathering interest from the circles of academics and practitioners.
It is quite remarkable that the spectrum of application and
research areas that have adopted information granulation as a
successful strategy for dealing with information complexity covers
such diverse fields as bioinformatics, image understanding,
environmental monitoring, urban sustainability, to mention few most
visible in the literature. Undoubtedly, there are two important
aspects of Granular Computing that are worth stressing. First,
there are several formalisms in which information granules are
articulated so be intervals (sets), fuzzy sets, rough sets, soft
sets, approximate sets, near sets and alike. They are complementary
and each of them offers some interesting views at the complexity of
the world and cyberspace.
This book is about Granular Computing (GC) - an emerging conceptual
and of information processing. As the name suggests, GC concerns
computing paradigm processing of complex information entities -
information granules. In essence, information granules arise in the
process of abstraction of data and derivation of knowledge from
information. Information granules are everywhere. We commonly use
granules of time (seconds, months, years). We granulate images;
millions of pixels manipulated individually by computers appear to
us as granules representing physical objects. In natural language,
we operate on the basis of word-granules that become crucial
entities used to realize interaction and communication between
humans. Intuitively, we sense that information granules are at the
heart of all our perceptual activities. In the past, several formal
frameworks and tools, geared for processing specific information
granules, have been proposed. Interval analysis, rough sets, fuzzy
sets have all played important role in knowledge representation and
processing. Subsequently, information granulation and information
granules arose in numerous application domains. Well-known ideas of
rule-based systems dwell inherently on information granules.
Qualitative modeling, being one of the leading threads of AI,
operates on a level of information granules. Multi-tier
architectures and hierarchical systems (such as those encountered
in control engineering), planning and scheduling systems all
exploit information granularity. We also utilize information
granules when it comes to functionality granulation, reusability of
information and efficient ways of developing underlying information
infrastructures.
Information granules and their processing permeate a way in which
we perceive the world, carryout processing at the conceptual
(abstract) level, and communicate our findings to the surrounding
environment. The importance of information granulation becomes even
more apparent when we are faced with a rapidly growing flood of
data, become challenged to make decisions in complex data settings
and are required to appreciate the context from which the data is
derived. Human centricity of systems that claim to be "intelligent"
and the granular computing come hand in hand. It is not surprising
at all to witness that the paradigm of Granular Computing has
started to gain visibility and continues along this path by
gathering interest from the circles of academics and practitioners.
It is quite remarkable that the spectrum of application and
research areas that have adopted information granulation as a
successful strategy for dealing with information complexity covers
such diverse fields as bioinformatics, image understanding,
environmental monitoring, urban sustainability, to mention few most
visible in the literature. Undoubtedly, there are two important
aspects of Granular Computing that are worth stressing. First,
there are several formalisms in which information granules are
articulated so be intervals (sets), fuzzy sets, rough sets, soft
sets, approximate sets, near sets and alike. They are complementary
and each of them offers some interesting views at the complexity of
the world and cyberspace.
|
You may like...
Aladdin
Robin Williams, Scott Weinger, …
Blu-ray disc
R206
Discovery Miles 2 060
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
Loot
Nadine Gordimer
Paperback
(2)
R398
R330
Discovery Miles 3 300
|