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If you ever wondered how and why British industry and its empire collapsed, then this is the book to read!.
Economic history. --- Business failures. --- Great Britain --- Economic conditions
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Progress in plant biology relies on the quantification, analysis and mathematical modeling of data over different time and length scales. This book describes common mathematical and computational approaches as well as some carefully chosen case studies that demonstrate the use of these techniques to solve problems at the forefront of plant biology. Each chapter is written by an expert in field with the goal of conveying concepts whilst at the same time providing sufficient background and links to available software for readers to rapidly build their own models and run their own simulations. This book is aimed at postgraduate students and researchers working the field of plant systems biology and synthetic biology, but will also be a useful reference for anyone wanting to get into quantitative plant biology.
Plants --- Botany. --- Bioinformatics. --- Plant Sciences. --- Systems Biology. --- Computational Biology/Bioinformatics. --- Mathematical Modeling and Industrial Mathematics. --- Bio-informatics --- Biological informatics --- Biology --- Information science --- Computational biology --- Systems biology --- Botanical science --- Phytobiology --- Phytography --- Phytology --- Plant biology --- Plant science --- Natural history --- Data processing --- Plant science. --- Systems biology. --- Biological systems. --- Mathematical models. --- Models, Mathematical --- Simulation methods --- Biosystems --- Systems, Biological --- System theory --- Bioinformatics --- Biological systems --- Molecular biology --- Philosophy --- Floristic botany
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Goal-Directed Decision Making: Computations and Neural Circuits examines the role of goal-directed choice. It begins with an examination of the computations performed by associated circuits, but then moves on to in-depth examinations on how goal-directed learning interacts with other forms of choice and response selection. This is the only book that embraces the multidisciplinary nature of this area of decision-making, integrating our knowledge of goal-directed decision-making from basic, computational, clinical, and ethology research into a single resource that is invaluable for neuroscientists, psychologists and computer scientists alike. The book presents discussions on the broader field of decision-making and how it has expanded to incorporate ideas related to flexible behaviors, such as cognitive control, economic choice, and Bayesian inference, as well as the influences that motivation, context and cues have on behavior and decision-making.
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