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The book discusses the main issues of coordination in complex
sociotechnical systems, covering distributed, self-organising, and
pervasive systems. A chemistry-inspired model of coordination, a
situated architecture and coordination language, and a cognitive
model of interaction are the ingredients of the Molecules of
Knowledge (MoK) model for self-organisation of knowledge presented
in this book. The MoK technology is discussed, along with some case
studies in the fields of collaborative systems, academic research,
and citizen journalism. The target audience includes researchers
and practitioners in the field of complex software systems
engineering. The book is also appropriate for graduate and late
undergraduate students in computer science and engineering.
The book discusses the main issues of coordination in complex
sociotechnical systems, covering distributed, self-organising, and
pervasive systems. A chemistry-inspired model of coordination, a
situated architecture and coordination language, and a cognitive
model of interaction are the ingredients of the Molecules of
Knowledge (MoK) model for self-organisation of knowledge presented
in this book. The MoK technology is discussed, along with some case
studies in the fields of collaborative systems, academic research,
and citizen journalism. The target audience includes researchers
and practitioners in the field of complex software systems
engineering. The book is also appropriate for graduate and late
undergraduate students in computer science and engineering.
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Multi-Agent Systems (Paperback)
Vicent Botti, Andrea Omicini, Stefano Mariani
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R2,290
R1,860
Discovery Miles 18 600
Save R430 (19%)
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Ships in 10 - 15 working days
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"Stock Identification Methods, 2e, " continues to provide a
comprehensive review of the various disciplines used to study the
population structure of fishery resources. It represents the
worldwide experience and perspectives of experts on each method,
assembled through a working group of the International Council for
the Exploration of the Sea. The book is organized to foster
interdisciplinary analyses and conclusions about stock structure, a
crucial topic for fishery science and management.
Technological advances have promoted the development of stock
identification methods in many directions, resulting in a confusing
variety of approaches. Based on central tenets of population
biology and management needs, this valuable resource offers a
unified framework for understanding stock structure by promoting an
understanding of the relative merits and sensitivities of each
approach.
* Describes 18 distinct approaches to stock identification grouped
into sections on life history traits, environmental signals,
genetic analyses, and applied marks
* Features experts' reviews of benchmark case studies, general
protocols, and the strengths and weaknesses of each identification
method
* Reviews statistical techniques for exploring stock patterns,
testing for differences among putative stocks, stock
discrimination, and stock composition analysis
* Focuses on the challenges of interpreting data and managing
mixed-stock fisheries
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