NDLI: Design Guidance Using Simulation-Based Bayesian Belief Networks

Content Provider	IEEE Xplore Digital Library
Author	Parakhine, A. Leaney, J. O'Neill, T.
Copyright Year	2008
Description	Author affiliation: Univ. of Technol., Sydney (Parakhine, A.)
Abstract	In our work, the task of complex computer-based system design optimization involves exploration of a number of possible candidate designs matching the optimisation criteria. However, the process by which the possible candidate designs are generated and rated is fundamental to an optimal outcome. It is dependent upon the set of system characteristics deemed relevant by the designer given the systems requirements. We propose a method which is aimed at providing the designer with guidance based upon description of the possible causal relationships between various system characteristics and qualities. This guidance information is obtained by employing principles of multiparadigm simulation to generate a set of data which is then processed by an algorithm to generate a Bayesian Belief Network representation of causalities present in the source system. Furthermore, we address the issues and tools associated with application of the proposed method by presenting a detailed simulation and network generation effort undertaken as part of a significant industrial case study.
Starting Page	76
Ending Page	84
File Size	416075
Page Count	9
File Format	PDF
ISBN	0769531415
DOI	10.1109/ECBS.2008.28
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-31
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bayesian methods Design optimization Scalability Space exploration Conferences Design engineering Computer networks Computational modeling Computer simulation Information technology non-functional qualities design optimisation bayesian belief network agent-based modeling hybrid modeling
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Design Guidance Using Simulation-Based Bayesian Belief Networks

Application of Bayesian Networks to Architectural Optimisation

Multi-radio network optimisation using Bayesian belief propagation

Threat analysis model of an agent-based vulnerability mitigation mechanism using Bayesian Belief Networks

Agent-based simulation analysis for networks formation using PSO

Space-parallel network simulations using ghosts

Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model

Agent-based discrete-event hybrid space modeling approach for transportation evacuation simulation

Comparison of global search methods for design optimization using simulation

Design Guidance Using Simulation-Based Bayesian Belief Networks

Similar Documents

Design Guidance Using Simulation-Based Bayesian Belief Networks

Application of Bayesian Networks to Architectural Optimisation

Multi-radio network optimisation using Bayesian belief propagation

Threat analysis model of an agent-based vulnerability mitigation mechanism using Bayesian Belief Networks

Agent-based simulation analysis for networks formation using PSO

Space-parallel network simulations using ghosts

Distributed Modeling Architecture of a Multi-Agent-Based Behavioral Economic Landscape (MABEL) Model

Agent-based discrete-event hybrid space modeling approach for transportation evacuation simulation

Comparison of global search methods for design optimization using simulation

Design Guidance Using Simulation-Based Bayesian Belief Networks