Characterising Model-Based Reasoning

Mark Lee

Characterising Model-Based Reasoning

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Allbwn ymchwil: Cyfraniad at gynhadledd › Papur › adolygiad gan gymheiriaid

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This paper explores the fundamental nature of the technology known as Model-Based Reasoning. The central concept of representation is examined and the roles of prediction and explanation are emphasised. We argue that these three properties are essential elements of models that support Model-Based Reasoning and give examples to illustrate the distinctions. We show the importance of principled model design, guaranteed completeness of solutions and explicit, executable model structure. The modelling trade-off of Puccia and Levins is examined in order to characterise qualitative models and the benefits of MBR are presented. Finally, a series of challenges for the future are outlined.

Iaith wreiddiol	Saesneg
Tudalennau	140-146
Nifer y tudalennau	7
Statws	Cyhoeddwyd - 1999
Digwyddiad	10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland - Loch Awe, Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon Hyd: 08 Meh 1999 → 11 Meh 1999

Cynhadledd

Cynhadledd	10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland
Gwlad/Tiriogaeth	Teyrnas Unedig Prydain Fawr a Gogledd Iwerddon
Dinas	Loch Awe
Cyfnod	08 Meh 1999 → 11 Meh 1999

Mynediad at Ddogfen

http://hdl.handle.net/2160/98

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title = "Characterising Model-Based Reasoning",

abstract = "This paper explores the fundamental nature of the technology known as Model-Based Reasoning. The central concept of representation is examined and the roles of prediction and explanation are emphasised. We argue that these three properties are essential elements of models that support Model-Based Reasoning and give examples to illustrate the distinctions. We show the importance of principled model design, guaranteed completeness of solutions and explicit, executable model structure. The modelling trade-off of Puccia and Levins is examined in order to characterise qualitative models and the benefits of MBR are presented. Finally, a series of challenges for the future are outlined.",

author = "Mark Lee",

note = "Lee M.H., Characterising Model-Based Reasoning, Proc. 10th Int. Workshop on Principles of Diagnosis, (DX'99), Loch Awe, Scotland, 1999, pp140-146.; 10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland ; Conference date: 08-06-1999 Through 11-06-1999",

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PY - 1999

Y1 - 1999

N2 - This paper explores the fundamental nature of the technology known as Model-Based Reasoning. The central concept of representation is examined and the roles of prediction and explanation are emphasised. We argue that these three properties are essential elements of models that support Model-Based Reasoning and give examples to illustrate the distinctions. We show the importance of principled model design, guaranteed completeness of solutions and explicit, executable model structure. The modelling trade-off of Puccia and Levins is examined in order to characterise qualitative models and the benefits of MBR are presented. Finally, a series of challenges for the future are outlined.

AB - This paper explores the fundamental nature of the technology known as Model-Based Reasoning. The central concept of representation is examined and the roles of prediction and explanation are emphasised. We argue that these three properties are essential elements of models that support Model-Based Reasoning and give examples to illustrate the distinctions. We show the importance of principled model design, guaranteed completeness of solutions and explicit, executable model structure. The modelling trade-off of Puccia and Levins is examined in order to characterise qualitative models and the benefits of MBR are presented. Finally, a series of challenges for the future are outlined.

M3 - Paper

SP - 140

EP - 146

T2 - 10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland

Y2 - 8 June 1999 through 11 June 1999

ER -

Characterising Model-Based Reasoning

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