Granularity
Avner Friedman, David Ross · Mathematics in industry · 2003
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About 10,000 papers for “Granularity”
Avner Friedman, David Ross · Mathematics in industry · 2003
Cited by 0
Roberto Cippitani · 2023
Cited by 0
Davachi, Lila, Thorp, John, Gasser, Camille · Open Science Framework · 2020
An analysis of cross-sectional resting state data aimed at probing inter-voxel similarity within the hippocampus across the longitudinal axis, parcellation methods, and age
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National Cancer Institute · Definitions · 2020
A data unit, as part of the whole collection of data, that has a high level of detail in distinct parts.
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C. Maria Keet · 2013
Cited by 1
Jerry R. Hobbs · 1985
This paper presents a framework for a theory of granularity, which is seen as a means of constructing simple theories out of more complex ones. A transitive indistinguishability relation can be defined by means of a set of relevant predicates, allowing simplification of a theory of complex phenomena into computationally tractable local theories, or granularities. Nontransitive indistinguishability relations can be characterized in terms of relevant partial predicates, and idealization allows simplification into tractable local theories. Various local theories must be linked with each other by means of articulation axioms, to allow shifts of perspective. Such a treatment of granularity must be built into the very foundation of the reasoning processes of intelligent agents in a complex world. Abstraction from it only those things that serve our present interests. Thus, when we are planning a trip, it is sufficient to think of a road as a one-dimensional curve. When we are crossing a road, we must think of it as a surface, and when we are digging up the pavement, it becomes a volume for us. When we are driving down a road, we alternate among these granularities, sometimes conscious of our progress along the one-dimensional curve, sometimes making adjustments in our position on the surface, sometimes slowing down for bumps or potholes in the volume. Our ability to conceptualize the world at different granularities and to switch among these granularities is fundamental to our intelligence and flexibility. It enables us to map the complexities of the world around us into simple theories that are computationally tractable to reason in. If we are to have a machine of even moderate intelligence, it must have a theory of granularity woven into the very foundation of its reasoning processes. The purpose of this paper is to propose the outlines of such a theory.
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2014
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Lila Davachi, Camille Gasser, John Thorp · OSF Preprints (OSF Preprints) · 2020
An analysis of cross-sectional resting state data aimed at probing inter-voxel similarity within the hippocampus across the longitudinal axis, parcellation methods, and age
Cited by 0
Jérôme Euzenat, Angelo Montanari · Foundations of artificial intelligence · 2005
Cited by 27
Cláudio Bettini, X. Sean Wang, Sushil Jajodia · Encyclopedia of Database Systems · 2018
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Euzenat, Jérôme, Montanari, Angelo · HAL (Le Centre pour la Communication Scientifique Directe) · 2005
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Patricia Seybold · 2003
How do you address thorny business and technical issues? Break them into the right-size chunks. When you select the right granularity to address any business or technical issue, the way forward becomes clear.
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Lars Vogt (188800), Peter Grobe (377392), Björn Quast (188806) et al. · Figshare · 2015
<p>A <i>constitutive granularity</i> of, for example, molecules,\n cells and organs of a multicellular organism. In constitutive\n granularities, all objects belonging to one level of granularity are\n parts of objects of the next higher level of granularity: all molecules\n are part of cells, all cells part of organs, and all organs part of\n multicellular organisms. Moreover, summing all objects of one level\n together yields the maximal object – here, a multicellular\n organism.</p>
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Sree Harsha Ramanavarapu, To The, Dr. Amitabha Mukerjee · 2013
It is certified that the work contained in the thesis entitled “Interval-Only Orientation Calculus with Asymmetric Granularity ” by Sree Harsha Ramanavarapu has been carried out under my supervision and that this work has not been submitted elsewhere for a degree.
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Giuseppe DrAniello, Matteo Gaeta · 2018
Granular computing is emerging as a new theory of computation based on representing and processing basic chunks of data, namely the information granules. Granular computing shares many concept and principles with the situation awareness paradigm, as both are focused on supporting the human capabilities of processing information, solving problems and making decisions. Accordingly, this work proposes a model for representing situations based on granular structures that sustains a computational approach in which granular computing mechanisms are used to support situation awareness. The model defines the concept of situation granularity as a measure to compare different situations, sustaining both comprehension and projection phases in the situation awareness assessment process. An illustrative example in the air traffic control domain demonstrates the validity of the proposed model.
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Curtis Dyreson, Richard T. Snodgrass · 1995
Cited by 10
L. OGER, M. AMMI, A. VALANCE et al. · Florence Research (University of Florence) · 2008
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Lars Vogt (188800), Peter Grobe (377392), Björn Quast (188806) et al. · Figshare · 2015
<p>A <i>constitutive granularity</i> of molecules, cells and organs of a multicellular organism. It is characteristic of constitutive granularities that all objects belonging to one level of granularity are parts of objects of the next coarser level of granularity: all molecules are part of cells, all cells part of organs, and all organs part of multicellular organisms. Moreover, the sum of all objects of one level of a constitutive granularity yields the maximal object, which is in this case a multicellular organism.</p>
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Schienle, Anne, Potthoff, Jonas · OSF Preprints (OSF Preprints) · 2021
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松下 光範 · Journal of Japan Society for Fuzzy Theory and Systems · 1998
Cited by 1Open access