Abductive causal reasoning for internet of things

Adrienne Raglin, Anshuman Venkateswaran, Huan Liu

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

Abstract

The Internet of Things (IoT) is defined as a 'global infrastructure for the information society, enabling advanced services by interconnecting (physical and virtual) things based on existing and evolving interoperable information and communication technologies [1].' This network of heterogeneous devices that are connected can interact and share data as well as aid in decision making. Abductive causal reasoning (ACR) offers a new perspective to learn from data with the capability to support decisions by explaining the context or environment in which the choices are made. In this paper, we propose to use ACR in an IoT environment to infer sensible hypotheses from IoT data and explain how decisions can be made or improved. Examples are given to illustrate how ACR can support decisions from the available data.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1866-1869
Number of pages4
ISBN (Electronic)9781728140346
DOIs
StatePublished - Aug 2019
Event2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 - Leicester, United Kingdom
Duration: Aug 19 2019Aug 23 2019

Publication series

NameProceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019

Conference

Conference2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019
CountryUnited Kingdom
CityLeicester
Period8/19/198/23/19

Keywords

  • Abductive Causal Reasoning
  • Decision Making
  • IoT

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Computer Science Applications
  • Information Systems
  • Information Systems and Management
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Urban Studies

Fingerprint Dive into the research topics of 'Abductive causal reasoning for internet of things'. Together they form a unique fingerprint.

  • Cite this

    Raglin, A., Venkateswaran, A., & Liu, H. (2019). Abductive causal reasoning for internet of things. In Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019 (pp. 1866-1869). [9060242] (Proceedings - 2019 IEEE SmartWorld, Ubiquitous Intelligence and Computing, Advanced and Trusted Computing, Scalable Computing and Communications, Internet of People and Smart City Innovation, SmartWorld/UIC/ATC/SCALCOM/IOP/SCI 2019). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SmartWorld-UIC-ATC-SCALCOM-IOP-SCI.2019.00328