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This monograph, co-authored by three longtime collaborators, aims to promote the interdisciplinary field of mathematical biology by providing accessible new approaches to study natural systems. As there is currently scarce literature on the applications of mathematical modelling for biology research, this book presents a new way of studying interactions at the level of populations, societies, ecosystems, and biomes through open-sourced modeling platforms. It offers an interdisciplinary approach to analyzing natural phenomena—for example, by showing how master equations developed to describe electrical circuits can also describe biological systems mathematically. Ultimately it promotes a method of study based on modelling and mathematical principles, facilitating collaboration between mathematicians, biologists, engineers, and other researchers to enrich knowledge of the world’s ecosystems.
Mathematics. --- Biomathematics. --- Mathematics of Planet Earth. --- Mathematical and Computational Biology. --- Biology --- Mathematics --- Math --- Science
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The two-volume set LNAI 5777 and LNAI 5778 constitutes the thoroughly refereed post-conference proceedings of the 10th European Conference, ECAl 2009, held in Budapest, Hungary, in September 2009. The 141 revised full papers presented were carefully reviewed and selected from161 submissions. The papers are organized in topical sections on evolutionary developmental biology and hardware, evolutionary robotics, protocells and prebiotic chemistry, systems biology, artificial chemistry and neuroscience, group selection, ecosystems and evolution, algorithms and evolutionary computation, philosophy and arts, optimization, action, and agent connectivity, and swarm intelligence.
Biological systems --- Robotics --- Artificial intelligence --- Engineering & Applied Sciences --- Biology --- Mechanical Engineering --- Health & Biological Sciences --- Biology - General --- Computer Science --- Mechanical Engineering - General --- Computer simulation --- Simulation methods --- Information Technology --- Artificial Intelligence --- Computer science. --- Neurosciences. --- Computers. --- Computer science --- Artificial intelligence. --- Application software. --- Developmental biology. --- Computer Science. --- Artificial Intelligence (incl. Robotics). --- Computer Appl. in Social and Behavioral Sciences. --- Computation by Abstract Devices. --- Discrete Mathematics in Computer Science. --- Developmental Biology. --- Mathematics. --- Development (Biology) --- Growth --- Ontogeny --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Fifth generation computers --- Neural computers --- Computer mathematics --- Discrete mathematics --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Calculators --- Cyberspace --- Neural sciences --- Neurological sciences --- Neuroscience --- Medical sciences --- Nervous system --- Informatics --- Science --- Mathematics --- Social sciences --- Computational complexity. --- Artificial Intelligence. --- Data processing. --- Complexity, Computational --- Computer science—Mathematics.
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