Landscapes and the ecological processes they support are inherently complex systems, in
that they have large numbers of heterogeneous components that interact in multiple ways …

Life depends as much on the flow of information as on the flow of energy. Here we review
the many efforts to make this intuition precise. Starting with the building blocks of information …

Complex systems are increasingly being viewed as distributed information processing
systems, particularly in the domains of computational neuroscience, bioinformatics, and …

Abstract Complex Systems Science aims to understand concepts like complexity, self‐
organization, emergence and adaptation, among others. The inherent fuzziness in complex …

Selecting a “best” model among several competing candidate models poses an often
encountered problem in water resources modeling (and other disciplines which employ …

Information storage is a key component of intrinsic distributed computation. Despite the
existence of appropriate measures for it (eg excess entropy), its role in interacting with …

Intrinsic computation refers to how dynamical systems store, structure, and transform
historical and spatial information. By graphing a measure of structural complexity against a …

The nature of distributed computation in complex systems has often been described in terms
of memory, communication and processing. This thesis presents a complete information …

This paper presents the first comprehensive tutorial on a promising research field located at
the frontier of two well-established domains, neurosciences and wireless communications …

Decisions often benefit from learned expectations about the sequential structure of the
evidence. Here we show that individual differences in this learning process can reflect …