Inside Case-Based Reasoning

Riesbeck, Christopher K.; Schank, Roger C.

doi:10.4324/9780203781821

Cited by 166 publications

(196 citation statements)

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“…According to Riesbeck and Schank (1998), CBR solves problems by capturing previous experiences and matching the important features of new problems with those of old cases that have been successfully solved. The main source of knowledge in CBR is the case that can be reused even if it only partially matches the problem in hand (Riesbeck and Schank, 1989). Especially, CBR can deal efficiently with both numeric and nominal data, and can handle effectively cases that have incomplete data or variable data structures (Morcous et al, 2002).…”

Section: Case-based Reasoningmentioning

confidence: 99%

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Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms

Kim

2012

Journal of Asian Architecture and Building Engineering

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During a construction project, the cost of progress is the most important factor affecting the profitability of the project. It would be beneficial to the contractor to have prior knowledge concerning the cost of progress of a project. This study uses case-based reasoning (CBR) to predict the cost of progress in order to develop appropriate strategies. This study also investigates genetic algorithms (GAs) for weight generation and applies them to a real project case. To achieve the objective, quantitative data have been collected from real completed construction projects. The proposed prediction system, namely EVAS-CBR-GAs, was then performed on the identified influential variables. The results show that the presented methodology can consistently reduce errors and potentially be useful for owners and contractors in the early financial planning stage. Recognizing this need, the author has developed a comprehensive system for planning and controlling the cost of contractor progress.

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Section: Case-based Reasoningmentioning

confidence: 99%

“…Especially, CBR can deal efficiently with both numeric and nominal data, and can handle effectively cases that have incomplete data or variable data structures (Morcous et al, 2002). Furthermore, CBR has powerful learning capabilities that do not require time-consuming training and testing operations (Riesbeck and Schank, 1989). …”

Section: Case-based Reasoningmentioning

confidence: 99%

Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms

Kim

2012

Journal of Asian Architecture and Building Engineering

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“…Acquiring knowledge as a result of researching the correctness of data, assimilating or formulating new concepts that are based on examples from the past, (CBR-Case Based Reasoning) in contrast to relying on individual experiences, can accelerate the process of estimating costs in construction. CBR can be defined as systems that solve new problems by adapting the results that were used to solve old issues [27]. In [28], the authors compare the system of inference from cases to the black box.…”

Section: Literature Reviewmentioning

confidence: 99%

Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method

Leśniak

Zima

2018

Sustainability

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Abstract:The idea of sustainable development and the resulting environmentally friendly attitudes are increasingly used in construction projects. Designing in accordance with the principles of sustainable development has an impact on the costs of construction works. The authors of this paper proposed an approach to estimate the costs of sports field construction using the Case Based Reasoning method. In their analysis, they distinguished 16 factors that affect the cost of a construction project and are possible to already be described at an early stage of its preparation. The original elements of the work include: consideration of such environmental factors as the environmental impact of the building, materials used, the impact of the facility on the surroundings affecting the amount of implementation costs and development of own database containing 143 construction projects that are related to sports fields. In order to calculate the similarity of cases, different calculation formulas were applied depending on the type of data (quantitative, qualitative, uncertain, no data). The obtained results confirmed that the CBR method based on historical data and using criteria related to sustainable development may be useful in cost estimation in the initial phase of a construction project. Its application to the calculation of the costs that are related to the implementation of sports fields generates an error of 14%, which is a very good result for initial calculations. In the short run, such factors as the impact of the object and the type of materials that are used from the perspective of their influence on the environment may be decisive as far as the costs determined in the life cycle of the building are concerned, as well as the lowest costs of the building construction ensuring the appropriate quality and respect for the environment.

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“…Case-based reasoning (CBR [1]) aims at solving a new problem thanks to a set of already solved problems. The new problem is called the target problem, denoted by tgt in this paper, and the already solved problems are the source problems, denoted by srce.…”

Section: Introductionmentioning

confidence: 99%

Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation

Lieber

Case-Based Reasoning Research and Development

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Abstract. Case-based reasoning aims at solving a problem by the adaptation of the solution of an already solved problem that has been retrieved in a case base. This paper defines an approach to adaptation called conservative adaptation; it consists in keeping as much as possible from the solution to be adapted, while being consistent with the domain knowledge. This idea can be related to the theory of revision: the revision of an old knowledge base by a new one consists in making a minimal change on the former, while being consistent with the latter. This leads to a formalization of conservative adaptation based on a revision operator in propositional logic. Then, this theory of conservative adaptation is confronted to an application of case-based decision support to oncology: a problem of this application is the description of a patient ill with breast cancer, and a solution, the therapeutic recommendation for this patient. Examples of adaptations that have actually been performed by experts and that can be captured by conservative adaptation are presented. These examples show a way of adapting contraindicated treatment recommendations and treatment recommendations that cannot be applied.

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Inside Case-Based Reasoning

Cited by 166 publications

References 0 publications

Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms

Interval Estimation of Construction Cost Using Case-Based Reasoning and Genetic Algorithms

Cost Calculation of Construction Projects Including Sustainability Factors Using the Case Based Reasoning (CBR) Method

Application of the Revision Theory to Adaptation in Case-Based Reasoning: The Conservative Adaptation

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