Entropy

Scope

Entropy deals with the development and/or application of entropy or information-theoretic concepts in a wide variety of applications. Relevant submissions ought to focus on one of the following: develop the theory behind entropy or information theory provide new insights into entropy or information-theoretic concepts demonstrate a novel use of entropy or information-theoretic concepts in an application obtain new results using concepts of entropy or information theory Some Common Subject or Application Areas include: Physics and Engineering: thermodynamics, statistical mechanics, the second law of thermodynamics, reversibility, quantum mechanics, black hole physics, maximum entropy methods, maximum entropy production, evolution of the universe Information Theory: Shannon entropy, Kullback-Leibler divergence, channel capacity, Renyi and other entropies, and applications Complex Systems: self-organization, chaos and nonlinear dynamics, simplicity and complexity, networks, symmetry breaking, similarity Inquiry: experimental design, database querying, sensor placement, intelligent sampling Computing: big data, database design and querying, networks, cloud computing, pattern recognition, coding and compression, information transfer, reversibility, information loss, social networking Chemistry and Biology: chemical networks, energy, enthalpy, maximum entropy methods, biological networks, evolution, DNA and RNA, diversity Machine Learning and Systems Theory: artificial intelligence, neural networks, cybernetics, robotics, man-machine interfaces Economics: thermoeconomics, info-metrics, maximum entropy methods, game theory.