Special Issue "Information Processing in Complex Systems"
A special issue of Entropy (ISSN 1099-4300).
Deadline for manuscript submissions: closed (15 March 2015)
Dr. Rick Quax
Computational Science, Faculty of Science, The University of Amsterdam, The Netherlands
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Interests: information theory; statistical mechanics; complex systems; complex networks; dynamics on networks; theory of computation; theoretical computer science; formal languages; information geometry
All systems in nature have one thing in common: they process information. Information is registered in the state of a system and its elements, implicitly and invisibly. As elements interact, information is transferred and modified. Indeed, bits of information about the state of one element will travel—imperfectly—to the state of the other element, forming its new state. This storage, transfer, and modification of information, possibly between levels of a multi level system, is imperfect due to randomness or noise. From this viewpoint, a system can be formalized as a collection of bits that is organized according to its rules of dynamics and its topology of interactions. Mapping out exactly how these bits of information percolate through the system could reveal new fundamental insights in how the parts orchestrate to produce the properties of the system. A theory of information processing would be capable of defining a set of universal properties of dynamical multi level complex systems, which describe and compare the dynamics of diverse complex systems ranging from social interaction to brain networks, from financial markets to biomedicine. Each possible combination of rules of dynamics and topology of interactions, with disparate semantics, would reduce to a single language of information processing.
Dr. Rick Quax
Manuscript Submission Information
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- information theory
- statistical mechanics
- complex systems
- complex networks
- dynamics on networks
- theory of computation
- theoretical computer science
- formal languages
- information geometry