Results 21 to 30 of about 505,151 (313)
What Is Consciousness? Integrated Information vs. Inference
Entropy, 2021 Any successful naturalistic account of consciousness must state what consciousness is, in terms that are compatible with the rest of our naturalistic descriptions of the world. Integrated Information Theory represents a pioneering attempt to do just this.
James E. Cooke
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Similarity-based reasoning in conceptual spaces
Frontiers in Psychology, 2023 Whereas the validity of deductive inferences can be characterized in terms of their logical form, this is not true for all inferences that appear pre-theoretically valid.
Igor Douven +4 more
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Big issues for big data: challenges for critical spatial data analytics
Journal of Spatial Information Science, 2020 In this paper we consider some of the issues of working with big data and big spatial data and highlight the need for an open and critical framework. We focus on a set of challenges underlying the collection and analysis of big data.
Chris Brunsdon, Alexis Comber
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Royal Society Open Science, 2023 The basic reproduction number, [Formula: see text], is of paramount importance in the study of infectious disease dynamics. Primarily, [Formula: see text] serves as an indicator of the transmission potential of an emerging infectious disease and the ...
Jair Andrade, Jim Duggan
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Amplification, Inference, and the Manifestation of Objective Classical Information
Entropy, 2022 Our everyday reality is characterized by objective information—information that is selected and amplified by the environment that interacts with quantum systems.
Michael Zwolak
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Estimation and Inference in an Ecological Inference Model [PDF]
SSRN Electronic Journal, 2016 AbstractWe interpret an ecological inference model as a treatment effects model in which the outcomes of interest and the conditional covariates come from separate datasets. In this setting, the counterfactual distributions and policy parameters of interest are only partially identified under a selection on observables assumption.
Fan, Yanqin +2 more
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Generalisations of Fisher Matrices
Entropy, 2016 Fisher matrices play an important role in experimental design and in data analysis. Their primary role is to make predictions for the inference of model parameters—both their errors and covariances.
Alan Heavens
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Inferring a Property of a Large System from a Small Number of Samples
Entropy, 2022 Inferring the value of a property of a large stochastic system is a difficult task when the number of samples is insufficient to reliably estimate the probability distribution.
Damián G. Hernández, Inés Samengo
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SICE Journal of Control, Measurement, and System Integration, 2017 Design methods of asymptotically stable adaptive consensus control of multi-agent systems composed of the first-order and the second-order regression models are presented based on inverse optimal control criterion.
Yoshihiko Miyasato
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Frontiers in Psychology, 2021 The ability to make inferences about related experiences is an important function of memory that allows individuals to build generalizable knowledge.
Caitlin R. Bowman +5 more
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