Abstracting Probabilistic Models: Relations, Constraints and Beyond (Extended Abstract)

Vaishak Belle

Abstract / Description of output

Abstraction is a powerful idea widely used in science to explain phenomena at the required granularity. Think of explaining a heart disease in terms of its anatomical components versus its molecular composition. Think of understanding the political dynamics of elections by studying micro level phenomena (say, voter grievances in counties) versus macro level events (e.g., television advertisements, gerrymandering). In particular, in computer science, it is often understood as the process of mapping one representation onto a simpler representation by suppressing irrelevant information.

Original language	English
Number of pages	2
Publication status	Published - 12 Sept 2020
Event	17th International Conference on Principles of Knowledge Representation and Reasoning - Rhodes, Greece Duration: 12 Sept 2020 → 18 Sept 2020 https://kr2020.inf.unibz.it/

Conference

Conference	17th International Conference on Principles of Knowledge Representation and Reasoning
Abbreviated title	KR 2020
Country/Territory	Greece
City	Rhodes
Period	12/09/20 → 18/09/20
Internet address	https://kr2020.inf.unibz.it/

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Abstracting Probabilistic Models_BELLE_DOA23072020_AFVAccepted author manuscript, 79.8 KBLicence: All Rights Reserved

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title = "Abstracting Probabilistic Models: Relations, Constraints and Beyond (Extended Abstract)",

abstract = "Abstraction is a powerful idea widely used in science to explain phenomena at the required granularity. Think of explaining a heart disease in terms of its anatomical components versus its molecular composition. Think of understanding the political dynamics of elections by studying micro level phenomena (say, voter grievances in counties) versus macro level events (e.g., television advertisements, gerrymandering). In particular, in computer science, it is often understood as the process of mapping one representation onto a simpler representation by suppressing irrelevant information.",

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AB - Abstraction is a powerful idea widely used in science to explain phenomena at the required granularity. Think of explaining a heart disease in terms of its anatomical components versus its molecular composition. Think of understanding the political dynamics of elections by studying micro level phenomena (say, voter grievances in counties) versus macro level events (e.g., television advertisements, gerrymandering). In particular, in computer science, it is often understood as the process of mapping one representation onto a simpler representation by suppressing irrelevant information.

M3 - Abstract

T2 - 17th International Conference on Principles of Knowledge Representation and Reasoning

Y2 - 12 September 2020 through 18 September 2020

ER -

Abstracting Probabilistic Models: Relations, Constraints and Beyond (Extended Abstract)

Abstract / Description of output

Conference

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Cite this