Abstract. We quantify the local information dynamics at each spatiotemporal point in a complex system in terms of each element of computation: information storage, transfer and modification. Our formulation demonstrates that information modification (or non-trivial information processing) events can be locally identified where “the whole is greater than the sum of the parts”. We apply these measures to cellular automata, providing the first quantitative evidence that collisions between particles therein are the dominant information modification events.
Decision making in natural systems, such as the body\u27s immune response to a potential pathogen or...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...
Abstract Studies of how information is processed in natural systems, in particular in nervous system...
Cellular automata (CA) have been widely used as idealized models of spatially-extended dynamical sys...
Recently, the permutation-information theoretic approach has been used in a broad range of research ...
We present a measure of local information transfer, derived from an existing averaged informationthe...
Abstract—We survey state-of-the-art methods of information dynamics and briefly discuss some of the ...
The concepts of information transfer and causal effect have received much recent attention, yet ofte...
Part of the Computer Sciences Commons This Report is brought to you for free and open access by the ...
In dynamical systems, local interactions between dynamical units generate correlations which are sto...
Novel parallel computing models sometime represent a valid alternative to standard differential equa...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
. We present new tools allowing a formal classification of cellular automata, i.e. transfinite attr...
Decision making in natural systems, such as the body\u27s immune response to a potential pathogen or...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...
Abstract Studies of how information is processed in natural systems, in particular in nervous system...
Cellular automata (CA) have been widely used as idealized models of spatially-extended dynamical sys...
Recently, the permutation-information theoretic approach has been used in a broad range of research ...
We present a measure of local information transfer, derived from an existing averaged informationthe...
Abstract—We survey state-of-the-art methods of information dynamics and briefly discuss some of the ...
The concepts of information transfer and causal effect have received much recent attention, yet ofte...
Part of the Computer Sciences Commons This Report is brought to you for free and open access by the ...
In dynamical systems, local interactions between dynamical units generate correlations which are sto...
Novel parallel computing models sometime represent a valid alternative to standard differential equa...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
Inspiration for artificial biologically inspired computing is often drawn from neural systems. This ...
. We present new tools allowing a formal classification of cellular automata, i.e. transfinite attr...
Decision making in natural systems, such as the body\u27s immune response to a potential pathogen or...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...
Many natural processes occur over characteristic spatial and temporal scales. This paper presents to...