... as estimated by Shannon information theory. We propose this framework to inform breeding strategies for drought stress across geographies and crops. Harnessing managed environments, genomic selection, and crop models enabled utilization of genetic variation for physiological traits available within elite...

... that an experimenter expects to learn from a non-linear model is given. An expected utility for an experiment, ~, motivated by the asymptotic form of Shannon information gain between prior and posterior, is defined. This leads to a characterization of the experimenter who expects to learn the most from a non-linear...

... not particularly value additional older living siblings, who provide more biologic and phenotypic data. Thus, we add a living siblings’ bonus score that satisfies the following principles: aged, 80 and over family data longevity Shannon information Exceptional longevity strongly aggregates in families...

... length heterogeneity PCR Shannon information index Bray–Curtis similarity multidimensional scaling microbial community 16S rRNA gene hypervariable domains Once a community pattern is obtained, microbial ecologists have often analysed the data using traditional ecological indices ( Watve...

...Figure 14.1 Shannon’s depiction of a communication system (Shannon 1948 ). This chapter distinguishes different notions of information and assesses the assimilation of computation to information processing. It explicates the notions of Shannon information, natural semantic...

... and it is shown that a concept of both bits (how much) and pieces (what) of Shannon information is available. It is emphasised that the Shannon information, as a measure of information, should not be understood as an uncertainty; neither is the notion of correlation key to the Shannon concept. Corollaries...

... other proposed "measures of complexity," EC is most useful when comparing two entities, at least one of which has a large value of the quantity in question. Maxwell-Boltzmann distribution Shannon information United States tax code algorithmic complexity bit string coarse graining data compression...

...The main impetus to the formalization of information came from the natural sciences, with the premier example being Shannon information theory. We briefly describe it, and link it to the sciences of war. Fritz Machlup became one of the earliest skeptics of the spread of information concepts...

... processes. This chapter highlights the lack of functional definition of information in Norbert Wiener's cybernetic paradigm and the inability of Shannon information to measure directly the role of information in cybernetic processes. cybernetic processes Deutsch Karl Easton David Miller James Grier...

.... information Shannon information Bateson G MacKay D quorum sensing signalling antipodal information Heisenberg uncertainty principle observer participant effect self referential information adjacents anticipation prediction third state information cells wisdom of cells effective information EI...

... simple to count as information, while the complexity of the latter places it far beyond many other forms of genuine communication found in the living world, from bacteria to mammals. Those other forms of communication involve ‘Shannon-information’ but aren't wholly captured by that notion. This chapter...

...This book is a conceptual analysis of quantum information theory and the questions it raises for our understanding of the quantum world. Beginning from a detailed analysis of the concepts of information in the everyday and classical (Shannon) information-theory settings, an ontologically...

... of the stimulus, and also how relay cells are able to capture the fine timing in retinal spike trains to relay information about spatial context. retina lateral geniculate nucleus thalamic relay cell Shannon information synergistic spike code point process spike editing thinning gamma oscillation...

... of parameters have to be inferred. In this regime, there exists a deep connection between inference and information theory, whose description will require us to introduce the notions of entropy, cross entropy, Fisher information, Shannon information. Last of all, we will see how the maximum entropy principle...