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This book shows that the plasmodium of Physarum polycephalum can be
considered a natural labelled transition system, and based on this,
it proposes high-level programming models for controlling the
plasmodium behaviour. The presented programming is a form of pure
behaviourism: the authors consider the possibility of simulating
all basic stimulus-reaction relations. As plasmodium is a good
experimental medium for behaviouristic models, the book applies the
programming tools for modelling plasmodia as unconventional
computers in different behavioural sciences based on studying the
stimulus-reaction relations. The authors examine these relations
within the framework of a bio-inspired game theory on plasmodia
they have developed i.e. within an experimental game theory, where,
on the one hand, all basic definitions are verified in experiments
with Physarum polycephalum and Badhamia utricularis and, on the
other hand, all basic algorithms are implemented in the
object-oriented language for simulations of plasmodia. The results
allow the authors to propose that the plasmodium can be a model for
concurrent games and context-based games.
This book presents latest results and selected applications of
Computational Intelligence in Biomedical Technologies. Most of
contributions deal with problems of Biomedical and Medical
Informatics, ranging from theoretical considerations to practical
applications. Various aspects of development methods and algorithms
in Biomedical and Medical Informatics as well as Algorithms for
medical image processing, modeling methods are discussed.
Individual contributions also cover medical decision making
support, estimation of risks of treatments, reliability of medical
systems, problems of practical clinical applications and many other
topics. This book is intended for scientists interested in
problems of Biomedical Technologies, for researchers and academic
staff, for all dealing with Biomedical and Medical Informatics, as
well as PhD students. Useful information is offered also to IT
companies, developers of equipment and/or software for medicine and
medical professionals.
This book contains an interesting and state-of the art collection
of chapters presenting several examples of attempts to
developing modern tools utilizing computational intelligence in
different real life problems encountered by humans. Reasoning,
prediction, modeling, optimization, decision making, etc. need
modern, soft and intelligent algorithms, methods and methodologies
to solve, in the efficient ways, problems appearing in human
activity. The contents of the book is divided into two parts. Part
I, consisting of four chapters, is devoted to selected links of
computational intelligence, medicine, health care and biomechanics.
Several problems are considered: estimation of healthcare system
reliability, classification of ultrasound thyroid images,
application of fuzzy logic to measure weight status and central
fatness, and deriving kinematics directly from video records. Part
II, also consisting of four chapters, is devoted to selected links
of computational intelligence and biology. The common denominator
of three chapters is Physarum polycephalum, one-cell organisms able
to build complex networks for solving different computational
tasks. One chapter focuses on a novel device, the memristor, that
has possible uses both in the creation of hardware neural nets for
artificial intelligence and as the connection between a hardware
neural net and a living neuronal cell network in the treatment and
monitoring of neurological disease. This book is intended for
a wide audience of readers who are interested in various aspects of
computational intelligence.
This book presents latest results and selected applications of
Computational Intelligence in Biomedical Technologies. Most of
contributions deal with problems of Biomedical and Medical
Informatics, ranging from theoretical considerations to practical
applications. Various aspects of development methods and algorithms
in Biomedical and Medical Informatics as well as Algorithms for
medical image processing, modeling methods are discussed.
Individual contributions also cover medical decision making
support, estimation of risks of treatments, reliability of medical
systems, problems of practical clinical applications and many other
topics. This book is intended for scientists interested in problems
of Biomedical Technologies, for researchers and academic staff, for
all dealing with Biomedical and Medical Informatics, as well as PhD
students. Useful information is offered also to IT companies,
developers of equipment and/or software for medicine and medical
professionals.
This book contains an interesting and state-of the art collection
of chapters presenting several examples of attempts to developing
modern tools utilizing computational intelligence in different real
life problems encountered by humans. Reasoning, prediction,
modeling, optimization, decision making, etc. need modern, soft and
intelligent algorithms, methods and methodologies to solve, in the
efficient ways, problems appearing in human activity. The contents
of the book is divided into two parts. Part I, consisting of four
chapters, is devoted to selected links of computational
intelligence, medicine, health care and biomechanics. Several
problems are considered: estimation of healthcare system
reliability, classification of ultrasound thyroid images,
application of fuzzy logic to measure weight status and central
fatness, and deriving kinematics directly from video records. Part
II, also consisting of four chapters, is devoted to selected links
of computational intelligence and biology. The common denominator
of three chapters is Physarum polycephalum, one-cell organisms able
to build complex networks for solving different computational
tasks. One chapter focuses on a novel device, the memristor, that
has possible uses both in the creation of hardware neural nets for
artificial intelligence and as the connection between a hardware
neural net and a living neuronal cell network in the treatment and
monitoring of neurological disease. This book is intended for a
wide audience of readers who are interested in various aspects of
computational intelligence.
This book shows that the plasmodium of Physarum polycephalum can be
considered a natural labelled transition system, and based on this,
it proposes high-level programming models for controlling the
plasmodium behaviour. The presented programming is a form of pure
behaviourism: the authors consider the possibility of simulating
all basic stimulus-reaction relations. As plasmodium is a good
experimental medium for behaviouristic models, the book applies the
programming tools for modelling plasmodia as unconventional
computers in different behavioural sciences based on studying the
stimulus-reaction relations. The authors examine these relations
within the framework of a bio-inspired game theory on plasmodia
they have developed i.e. within an experimental game theory, where,
on the one hand, all basic definitions are verified in experiments
with Physarum polycephalum and Badhamia utricularis and, on the
other hand, all basic algorithms are implemented in the
object-oriented language for simulations of plasmodia. The results
allow the authors to propose that the plasmodium can be a model for
concurrent games and context-based games.
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