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  1. Joint Proceedings of the Workshop on AI Problems and Approaches for Intelligent Environments and Workshop on Semantic Cities (AIIP '13)
  2. A computational model for corruption assessment
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Real-life activity recognition: recognizing reading activities
Demand-driven power saving by multiagent negotiation for HVAC control
A semantic approach to retrieving, linking, and integrating heterogeneous geospatial data
Intention-aware routing to minimise delays at electric vehicle charging stations: the research related to this demonstration has been published at IJCAI 2013 [1]
Open data for inclusive governance
Interdependent multi-issue negotiation for energy exchange in remote communities
Democratizing mobile app development for disaster management
A motion detection system for video surveillance
On the challenges of balancing privacy and utility of open health data
A framework for short-term activity-aware load forecasting
A computational model for corruption assessment

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A computational model for corruption assessment

Content Provider ACM Digital Library
Author Rajshree, Nidhi Desai, Nirmit Srivastava, Biplav
Abstract Corruption afflicts public services world-wide and is universally considered undesirable. However, there is little prior work to formalize it so that it can be attacked effectively using computational (ICT) techniques. It is believed that trends like process (service) automation and open data help tackle corruption but little is known about why and when. In this work, we address this gap by (a) presenting a meta-model for agent-delivered services motivated by real case studies in corruption, (b) describing common patterns of corruption in such service process designs, (c) formalizing the patterns via a language that instantiates the meta-model, and (d) evaluating the formal patterns on new cases of corruption. We then discuss how the formal patterns help evaluate effectiveness of the various mechanisms for addressing corruption.
Starting Page 49
Ending Page 54
Page Count 6
File Format PDF
ISBN 9781450323468
DOI 10.1145/2516911.2516917
Language English
Publisher Association for Computing Machinery (ACM)
Publisher Date 2013-08-04
Publisher Place New York
Access Restriction Subscribed
Content Type Text
Resource Type Article
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