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Applications of Nonlinear Dynamics
The ?eld of applied nonlinear dynamics has attracted scientists and engineers across many different disciplines to develop innovative ideas and methods to study c- plex behavior exhibited by relatively simple systems. Examples include: population dynamics, ?uidization processes, applied optics, stochastic resonance, ?ocking and ?ightformations,lasers,andmechanicalandelectricaloscillators. Acommontheme among these and many other examples is the underlying universal laws of nonl- ear science that govern the behavior, in space and time, of a given system. These laws are universal in the sense that they transcend the model-speci?c features of a system and so they can be readily applied to explai...
Digital Culture & Society (DCS)
What happened to the 1960s ideas of machine art, cybernetic art, »algorithmic revolution«, and the hopes for a democratization of the art market? How do contemporary art practitioners cope with the political situation and with the attempts of the Silicon Valley giants to appropriate algorithmic generation of art-like artefacts? This issue aims to discuss how the early concept of computer art is now being reframed as digital, post-digital or algorithmic art under the prevailing conditions of big data, smart AI, an almost all-encompassing surveillance technology and the political state of neo-liberalism.
Science
The concept is fundamental in statistics and tailors to the emergence of collective behaviours. Communication then asks for uncertainty considerations - noise, indeterminacy or approximation - and its wider impact on the couple perception-action. Clustering being all about uncertainty handling, data set representation appears not to be the only solution: Introducing hierarchies with adapted metrics, a priori pre-improving the data resolution are other methods in need of evaluation. The technology together with increasing semantics enables to involve synthetic data as simulation results for the multiplication of sources. Part B plays with another couple important for complex systems: state vs. transition. State-first descriptions would characterize physics, while transition-first would fit biology. That could stem from life producing dynamical systems in essence.
International Conference on Theory and Application in Nonlinear Dynamics (ICAND 2012)
A collection of different lectures presented by experts in the field of nonlinear science provides the reader with contemporary, cutting-edge, research works that bridge the gap between theory and device realizations of nonlinear phenomena. Representative examples of topics covered include: chaos gates, social networks, communication, sensors, lasers, molecular motors, biomedical anomalies, stochastic resonance, nano-oscillators for generating microwave signals and related complex systems. A common theme among these and many other related lectures is to model, study, understand, and exploit the rich behavior exhibited by nonlinear systems to design and fabricate novel technologies with super...
The Information Manifold
An argument that information exists at different levels of analysis—syntactic, semantic, and pragmatic—and an exploration of the implications. Although this is the Information Age, there is no universal agreement about what information really is. Different disciplines view information differently; engineers, computer scientists, economists, linguists, and philosophers all take varying and apparently disconnected approaches. In this book, Antonio Badia distinguishes four levels of analysis brought to bear on information: syntactic, semantic, pragmatic, and network-based. Badia explains each of these theoretical approaches in turn, discussing, among other topics, theories of Claude Shannon...
The Doctor and the Algorithm
The Doctor and the Algorithm weighs the imaginative promises of health AI against the real and unintended consequences that deep medicine can bring for patients, providers, and public health alike.
Smart Intelligent Computing and Communication Technology
Recent developments in the fields of intelligent computing and communication have paved the way for the handling of current and upcoming problems and brought about significant technological advancements. This book presents the proceedings of IConIC 2021, the 4th International Conference on Intelligent Computing, held on 26 and 27 March 2021 in Chennai, India. The principle objective of the annual IConIC conference is to provide an international scientific forum where participants can exchange innovative ideas in relevant fields and interact in depth through discussion with their peer group. The theme of the 2021 conference and this book is ‘Smart Intelligent Computing and Communication Tec...
Collaborative Agents - Research and Development
This book constitutes the thoroughly refereed post-conference proceedings of the first two international workshops on computational models of collaboration in distributed systems: CARE 2009, held as satellite event of the 22nd Australasian Joint Conference on Artificial Intelligence AI09 in Melbourne, Australia, in December 2009 and CARE 2010, held in conjunction with the International Conference on Intelligent Agent Technology (IAT) in Toronto, Canada, in August 2010. The 12 revised full papers presented together with 2 invited lectures were carefully selected from a total of 45 submissions to both events. The workshops' thematic focus is on collaborative and autonomous agents that plan, negotiate, coordinate, and act under conditions of incomplete information, uncertainty, and bounded rationality.
Quantitative analysis of neuroanatomy
The true revolution in the age of digital neuroanatomy is the ability to extensively quantify anatomical structures and thus investigate structure-function relationships in great detail. Large-scale projects were recently launched with the aim of providing infrastructure for brain simulations. These projects will increase the need for a precise understanding of brain structure, e.g., through statistical analysis and models. From articles in this Research Topic, we identify three main themes that clearly illustrate how new quantitative approaches are helping advance our understanding of neural structure and function. First, new approaches to reconstruct neurons and circuits from empirical dat...
