Edinburgh Research Explorer

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Related Edinburgh Organisations

Open Access permissions

Open

Documents

Original languageEnglish
Title of host publicationProceedings of the 17th International Conference on Principles of Knowledge Representation and Reasoning
Number of pages2
Publication statusAccepted/In press - 23 Jul 2020
Event17th International Conference on Principles of Knowledge Representation and Reasoning - Rhodes, Greece
Duration: 12 Sep 202018 Sep 2020
https://kr2020.inf.unibz.it/

Conference

Conference17th International Conference on Principles of Knowledge Representation and Reasoning
Abbreviated titleKR 2020
CountryGreece
CityRhodes
Period12/09/2018/09/20
Internet address

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.

Event

ID: 158924920