Characterising Model-Based Reasoning

Mark Lee

Characterising Model-Based Reasoning

Department of Computer Science

Research output: Contribution to conference › Paper › peer-review

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.

Original language	English
Pages	140-146
Number of pages	7
Publication status	Published - 1999
Event	10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland - Loch Awe, United Kingdom of Great Britain and Northern Ireland Duration: 08 Jun 1999 → 11 Jun 1999

Conference

Conference	10th International Workshop on Principles of Diagnosis, Loch Awe Hotel, Scotland
Country/Territory	United Kingdom of Great Britain and Northern Ireland
City	Loch Awe
Period	08 Jun 1999 → 11 Jun 1999

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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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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

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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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