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Artykuły w czasopismach na temat "SAPPhIRE Model of Causality"

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Bhatt, Apoorv Naresh, Anubhab Majumder, and Amaresh Chakrabarti. "Analyzing the modes of reasoning in design using the SAPPhIRE model of causality and the Extended Integrated Model of Designing." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 35, no. 4 (2021): 384–403. http://dx.doi.org/10.1017/s0890060421000214.

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AbstractLiterature suggests that people typically understand knowledge by induction and produce knowledge by synthesis. This paper revisits the various modes of reasoning – explanatory abduction, innovative abduction, deduction, and induction – that have been proposed by earlier researchers as crucial modes of reasoning underlying the design process. First, our paper expands earlier work on abductive reasoning – an essential mode of reasoning involved in the process of synthesis – by understanding its role with the help of the “SAPPhIRE” model of causality. The explanations of abductive reasoning in design using the SAPPhIRE model have been compared with those using existing models. Second, the paper captures and analyzes various modes of reasoning during design synthesis with the help of the “Extended Integrated Model of Designing”. The analysis of participants' verbal speech and outcomes shows the model's ability to explain the various modes of reasoning that occur in design. The results indicate the above models to provide a more extensive account of reasoning in design synthesis. Earlier empirical validation of both the models lends further support to the claim of their explanatory capacity.
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Sartori, Julian, Ujjwal Pal, and Amaresh Chakrabarti. "A methodology for supporting “transfer” in biomimetic design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 4 (2010): 483–506. http://dx.doi.org/10.1017/s0890060410000351.

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AbstractBiomimetics involves transfer from one or more biological examples to a technical system. This study addresses four questions. What are the essential steps in a biomimetic process? What is transferred? How can the transferred knowledge be structured in a way useful for biologists and engineers? Which guidelines can be given to support transfer in biomimetic design processes? In order to identify the essential steps involved in carrying out biomimetics, several procedures found in the literature were summarized, and four essential steps that are common across these procedures were identified. For identification of mechanisms for transfer, 20 biomimetic examples were collected and modeled according to a model of causality called the SAPPhIRE model. These examples were then analyzed for identifying the underlying similarity between each biological and corresponding analogue technical system. Based on the SAPPhIRE model, four levels of abstraction at which transfer takes place were identified. Taking into account similarity, the biomimetic examples were assigned to the appropriate levels of abstraction of transfer. Based on the essential steps and the levels of transfer, guidelines for supporting transfer in biomimetic design were proposed and evaluated using design experiments. The 20 biological and analogue technical systems that were analyzed were similar in the physical effects used and at the most abstract levels of description of their functionality, but they were the least similar at the lowest levels of abstraction: the parts involved. Transfer most often was carried out at the physical effect level of abstraction. Compared to a generic set of guidelines based on the literature, the proposed guidelines improved design performance by about 60%. Further, the SAPPhIRE model turned out to be a useful representation for modeling complex biological systems and their functionality. Databases of biological systems, which are structured using the SAPPhIRE model, have the potential to aid biomimetic concept generation.
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Bhattacharya, Kausik, and Amaresh Chakrabarti. "A KNOWLEDGE GRAPH AND RULE BASED REASONING METHOD FOR EXTRACTING SAPPHIRE INFORMATION FROM TEXT." Proceedings of the Design Society 3 (June 19, 2023): 221–30. http://dx.doi.org/10.1017/pds.2023.23.

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AbstractRepresentation of design information using causal ontologies is very effective for creative ideation in product design. Hence researchers created databases with models of engineering and biological systems using causal ontologies. Manually building many models using technical documents requires significant effort by specialists. Researchers worked on the automatic extraction of design information leveraging the computational techniques of Machine Learning. But these methods are data intensive, have manual touch points and have not yet reported the end-to-end performance of the process. In this paper, we present the results of a new method inspired by the cognitive process followed by specialists. This method uses the Knowledge Graph with Rule based reasoning for information extraction for the SAPPhIRE causality model from natural language texts. Unlike the supervised learning methods, this new method does not require data intensive modelling. We report the performance of the end-to-end information extraction process, which is found to be a promising alternative.
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Srinivasan, V., and Amaresh Chakrabarti. "Investigating novelty–outcome relationships in engineering design." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 24, no. 2 (2010): 161–78. http://dx.doi.org/10.1017/s089006041000003x.

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AbstractDesign creativity involves developing novel and useful solutions to design problems. The research in this article is an attempt to understand how novelty of a design resulting from a design process is related to the kind of outcomes, described here as constructs, involved in the design process. A model of causality, the SAPPhIRE model, is used as the basis of the analysis. The analysis is based on previous research that shows that designing involves development and exploration of the seven basic constructs of the SAPPhIRE model that constitute the causal connection between the various levels of abstraction at which a design can be described. The constructs are state change, action, parts, phenomenon, input, organs, and effect. The following two questions are asked. Is there a relationship between novelty and the constructs? If there is a relationship, what is the degree of this relationship? A hypothesis is developed to answer the questions: an increase in the number and variety of ideas explored while designing should enhance the variety of concept space, leading to an increase in the novelty of the concept space. Eight existing observational studies of designing sessions are used to empirically validate the hypothesis. Each designing session involves an individual designer, experienced or novice, solving a design problem by producing concepts and following a think-aloud protocol. The results indicate dependence of novelty of concept space on variety of concept space and dependence of variety of concept space on variety of idea space, thereby validating the hypothesis. The results also reveal a strong correlation between novelty and the constructs; correlation value decreases as the abstraction level of the constructs reduces, signifying the importance of using constructs at higher abstraction levels for enhancing novelty.
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Chakrabarti, Amaresh, V. Srinivasan, B. S. C. Ranjan, and Udo Lindemann. "A case for multiple views of function in design based on a common definition." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 27, no. 3 (2013): 271–79. http://dx.doi.org/10.1017/s0890060413000279.

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AbstractFunctions are important in designing. However, several issues hinder progress with the understanding and usage of functions: lack of a clear and overarching definition of function, lack of overall justifications for the inevitability of the multiple views of function, and scarcity of systematic attempts to relate these views with one another. To help resolve these, the objectives of this research are to propose a common definition of function that underlies the multiple views in literature and to identify and validate the views of function that are logically justified to be present in designing. Function is defined as a change intended by designers between two scenarios: before and after the introduction of the design. A framework is proposed that comprises the above definition of function and an empirically validated model of designing, extended generate, evaluate, modify, and select of state-change, and an action, part, phenomenon, input, organ, and effect model of causality (Known as GEMS of SAPPhIRE), comprising the views of activity, outcome, requirement–solution–information, and system–environment. The framework is used to identify the logically possible views of function in the context of designing and is validated by comparing these with the views of function in the literature. Describing the different views of function using the proposed framework should enable comparisons and determine relationships among the various views, leading to better understanding and usage of functions in designing.
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Finkbeiner, Bernd, and Andrey Kupriyanov. "Causality-based Model Checking." Electronic Proceedings in Theoretical Computer Science 259 (October 10, 2017): 31–38. http://dx.doi.org/10.4204/eptcs.259.3.

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Iwasaki, Yumi, and Herbert A. Simon. "Causality and model abstraction." Artificial Intelligence 67, no. 1 (1994): 143–94. http://dx.doi.org/10.1016/0004-3702(94)90014-0.

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Gibbons, G. W. "Causality and the Skyrme model." Physics Letters B 566, no. 1-2 (2003): 171–74. http://dx.doi.org/10.1016/s0370-2693(03)00384-8.

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Lee, Hyun Seop, and Taek Yung Lee. "Material Removal Model of Lap Grinding for Sapphire Substrate Based on Roughness Parameters." Materials Science Forum 890 (March 2017): 384–87. http://dx.doi.org/10.4028/www.scientific.net/msf.890.384.

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Sapphire is one of difficult-to-machine materials because of its high hardness and brittleness. It can be used for an optical window or cover named as sapphire glass and a substrate for semiconductor circuits. Before preparing the required surface roughness of sapphire substrate, the geometrical shape should be retained through mechanical machining processes. The lapping and diamond mechanical polishing (DMP) are essentially used for achieving the required thickness and surface roughness of sapphire substrate prior to chemical mechanical polishing (CMP). In this study, we introduce a lap grinding process using fixed abrasives to substitute lapping and DMP. The material removal rates (MRRs) were measured under various machining conditions. The semi-empirical model on MRR was introduced based on the information of grinding pallet. This paper may provide a preliminary experimental study on the lap grinding of sapphire substrate.
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Martinussen, Torben. "Causality and the Cox Regression Model." Annual Review of Statistics and Its Application 9, no. 1 (2022): 249–59. http://dx.doi.org/10.1146/annurev-statistics-040320-114441.

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This article surveys results concerning the interpretation of the Cox hazard ratio in connection to causality in a randomized study with a time-to-event response. The Cox model is assumed to be correctly specified, and we investigate whether the typical end product of such an analysis, the estimated hazard ratio, has a causal interpretation as a hazard ratio. It has been pointed out that this is not possible due to selection. We provide more insight into the interpretation of hazard ratios and differences, investigating what can be learned about a treatment effect from the hazard ratio approaching unity after a certain period of time. The conclusion is that the Cox hazard ratio is not causally interpretable as a hazard ratio unless there is no treatment effect or an untestable and unrealistic assumption holds. We give a hazard ratio that has a causal interpretation and study its relationship to the Cox hazard ratio.
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