Multiple perspective dynamic decision making

Decision making often involves deliberations in different perspectives. Distinct perspectives or views support knowledge acquisition and representation suitable for different types or stages of inference in the same discourse. This work presents a general paradigm for multiple perspective decision m...

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Main Author: Tze-Yun LEONG
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Language:English
Published: Institutional Knowledge at Singapore Management University 1998
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Online Access:https://ink.library.smu.edu.sg/sis_research/3027
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spelling sg-smu-ink.sis_research-40272016-02-05T06:30:05Z Multiple perspective dynamic decision making Tze-Yun LEONG, Decision making often involves deliberations in different perspectives. Distinct perspectives or views support knowledge acquisition and representation suitable for different types or stages of inference in the same discourse. This work presents a general paradigm for multiple perspective decision making over time and under uncertainty. Based on a unifying task definition and a common vocabulary for the relevant decision problems, this new paradigm balances the trade-off between model transparency and solution efficiency in current decision frameworks. The new paradigm motivates the design of DynaMoL (Dynamic decision Modeling Language), a general language for modeling and solving dynamic decision problems. The DynaMoL framework differentiates inferential and representational support for the modeling task from the solution or computation task. The dynamic decision grammar defines an extensible decision ontology and supports complex problem specification with multiple interfaces. The graphical presentation convention governs parameter visualization in multiple perspectives. The mathematical representation as semi-Markov decision process facilitates formal model analysis and admits multiple solution methods. A set of general translation techniques is devised to manage the different perspectives and representations of the decision parameters and constraints. DynaMoL has been evaluated on a prototype implementation, via some comprehensive case studies in medicine. The results demonstrate practical promise of the framework. © 1998 Elsevier Science B.V. All rights reserved. 1998-10-01T07:00:00Z text https://ink.library.smu.edu.sg/sis_research/3027 info:doi/10.1016/S0004-3702(98)00082-4 Research Collection School Of Computing and Information Systems eng Institutional Knowledge at Singapore Management University Decision making Knowledge representation Multiple perspective reasoning Probabilistic reasoning Semi-Markov decision processes Temporal reasoning Artificial Intelligence and Robotics
institution Singapore Management University
building SMU Libraries
continent Asia
country Singapore
Singapore
content_provider SMU Libraries
collection InK@SMU
language English
topic Decision making
Knowledge representation
Multiple perspective reasoning
Probabilistic reasoning
Semi-Markov decision processes
Temporal reasoning
Artificial Intelligence and Robotics
spellingShingle Decision making
Knowledge representation
Multiple perspective reasoning
Probabilistic reasoning
Semi-Markov decision processes
Temporal reasoning
Artificial Intelligence and Robotics
Tze-Yun LEONG,
Multiple perspective dynamic decision making
description Decision making often involves deliberations in different perspectives. Distinct perspectives or views support knowledge acquisition and representation suitable for different types or stages of inference in the same discourse. This work presents a general paradigm for multiple perspective decision making over time and under uncertainty. Based on a unifying task definition and a common vocabulary for the relevant decision problems, this new paradigm balances the trade-off between model transparency and solution efficiency in current decision frameworks. The new paradigm motivates the design of DynaMoL (Dynamic decision Modeling Language), a general language for modeling and solving dynamic decision problems. The DynaMoL framework differentiates inferential and representational support for the modeling task from the solution or computation task. The dynamic decision grammar defines an extensible decision ontology and supports complex problem specification with multiple interfaces. The graphical presentation convention governs parameter visualization in multiple perspectives. The mathematical representation as semi-Markov decision process facilitates formal model analysis and admits multiple solution methods. A set of general translation techniques is devised to manage the different perspectives and representations of the decision parameters and constraints. DynaMoL has been evaluated on a prototype implementation, via some comprehensive case studies in medicine. The results demonstrate practical promise of the framework. © 1998 Elsevier Science B.V. All rights reserved.
format text
author Tze-Yun LEONG,
author_facet Tze-Yun LEONG,
author_sort Tze-Yun LEONG,
title Multiple perspective dynamic decision making
title_short Multiple perspective dynamic decision making
title_full Multiple perspective dynamic decision making
title_fullStr Multiple perspective dynamic decision making
title_full_unstemmed Multiple perspective dynamic decision making
title_sort multiple perspective dynamic decision making
publisher Institutional Knowledge at Singapore Management University
publishDate 1998
url https://ink.library.smu.edu.sg/sis_research/3027
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