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Model-based reasoning in financial domains
The Knowledge Engineering Review, 1992AbstractFinance is a challenging yet appropriate domain for model-based reasoning, an area of research otherwise grounded in classical physics. Among the many features that suggest a model-based approach are that firms have formal internal structures, business entities have idealizable behaviours, and there is a history of formal analysis of business ...
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Using Goals in Model-Based Reasoning
2015This part of Data Science for Software Engineering: Sharing Data and Models explores ensemble learners and multiobjective optimizers as applied to software engineering. Novel incremental ensemble learners are explained along with one of the largest ensemble learning (in effort estimation) experiments yet attempted.
Tim Menzies +4 more
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VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
Computer Vision and Pattern RecognitionLong-form video understanding is complicated by the high redundancy of video data and the abundance of query-irrelevant information. To tackle these challenges, we propose VideoTree, a training-free framework which builds a query-adaptive and ...
Ziyang Wang +6 more
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Deduction, Diagrams and Model-Based Reasoning
2017A key piece of data in understanding mathematics from the perspective of model-based reasoning is the use of diagrams to discover and to convey mathematical concepts and proofs. A paradigmatic example of such use is found in the classical demonstrations of elementary Euclidean geometry.
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Diagnostic tree design with model-based reasoning
IEEE Automatic Testing Conference.The Systems Readiness Technology Conference. Automatic Testing in the Next Decade and the 21st Century. Conference Record., 2003A reasoning procedure using quantitative models of connectivity and function has been developed to generate automatically multibranched diagnostic trees which can isolate faults within feedback loops and in the presence of multiple faults. The authors describe how the model-based reasoning system is used to generate automatically diagnostic trees that ...
D.W. Tong, C.H. Jolly, K.C. Zalondek
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Dealmaker: A Model-Based Reasoning System
1990Our initial systems were developed with rule-based knowledge system shells such as IBM’ s Expert System Environment, Micro Data Base System’ s GURU, and M.1 from Teknowledge. More powerful hybrid knowledge system development tools have recently become available for use in the business computing mainstream, and DEALMAKER has been implemented in this ...
John M. McCann, John P. Gallagher
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An integrated dynamic ship risk model based on Bayesian Networks and Evidential Reasoning
Reliability Engineering & System Safety, 2021Q. Yu +4 more
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Thought Experiments in Model-Based Reasoning
2017Thought experimentation is at least as old as Western philosophy. Scholars have made much use of it in many disciplines. For instance, philosophical discussions on ethics, morality, knowledge, and language abound with thought experiments. Likewise, great scientific developments, such as in physics and mathematics, have been achieved via thought ...
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Industrial applications of model based reasoning
IEE Colloquium on Applications of Model-Based Reasoning, 1997Two of the most important developments in the field of expert systems are model-based reasoning and qualitative reasoning. These two areas together provide a very powerful and versatile technology that has huge potential in a wide range of domains. Model based systems and qualitative reasoning are aimed at providing explicit, systematic and accessible,
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Model-based reasoning in biomedicine.
Critical reviews in biomedical engineering, 1992Significant advances have been achieved in model-based reasoning in the past decade, rendering it one of the most active branches of artificial intelligence. Research on model-based reasoning focuses on two major goals: being able to predict and explain device behavior, mostly using qualitative representations.
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