NDLI: Human-Assisted Rule Satisfaction in Partially Observable Environments

Content Provider	IEEE Xplore Digital Library
Author	Degeler, V. Curry, E.
Copyright Year	2014
Description	Author affiliation: Insight Centre for Data Analytics, Nat. Univ. of Ireland, Galway, Ireland (Degeler, V.; Curry, E.)
Abstract	Many lightweight installations of smart environment systems do not have complex and expensive sensing and actuating capabilities, leaving parts of the environment unobservable to the system. This limits reasoning and decision making complexity of such systems. A decision support system that can collaborate with human users alleviates this problem by asking users to provide missing pieces of information or to perform actuations of which the system itself is incapable. In this paper we present a smart system that uses declarative rules to describe the expected behavior of the environment. In any situation the system aims to satisfy the rules by finding the actions to transform the environment state to conform to existing restrictions. The system asks users to provide missing information that is relevant to the final decision or to perform required actions. A decision tree is constructed, which defines the actions depending on user's answers. The system constructs it in such a way to minimize the expected efforts of users. We present two ways of constructing such a decision tree. One uses backtracking for optimal results, and the other uses a heuristic approach for faster decision tree creation. We show that the relatively small drop in efficiency allows most smart environments to use the fast heuristic algorithm for decision tree construction.
Starting Page	171
Ending Page	178
File Size	496683
Page Count	8
File Format	PDF
e-ISBN	9781479976461
DOI	10.1109/UIC-ATC-ScalCom.2014.134
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-09
Publisher Place	Indonesia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Actuators Conferences Constraint satisfaction Smart environments Cognition Human-assisted reasoning Decision trees Decision tree Cost accounting Intelligent sensors
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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