Search (29 results, page 1 of 2)

  • × theme_ss:"Case Based Reasoning"
  1. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.08 
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    Abstract
    Introduces a new method for continuous case-based reasoning, and discusses its applications to the dynamic selection, modification and acquisition of robot bahaviours in an autonomous navigation system, SINS (self-improving navigation system): The computer program and the underlying method are systematically evaluated through statistical analysis of results from several empirical studies. Discusses case-based reasoning issues addressed by this research
    Date
    6. 3.1997 16:22:15
    Theme
    Case Based Reasoning
  2. Kolodner, J.: Case-based reasoning (1993) 0.06 
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    Content
    Pt.1: Background: waht is CBR? Case studies of several case-based reasoners. Reasoning using cases. The cognitive model. Pt.2: The case library: representing and indexing cases. Indexing vocabulary. Methods for index selection. Pt.3: Retrieving cases from the case library. Organizational structures and retrieval algorithms. Matching and ranking cases. Indexing and retrieval. Pt.4: Using cases. Adaptation methods and strategies. Controlling adaptation. Using cases for interpretation and evaluation. Pt.5: Pulling it all together. Building a case-based reasoner. Conclusions, opportunities, challenges. Appendix: A case library of case-based reasoning systems
    Theme
    Case Based Reasoning
  3. Akerele, O.; David, A.; Osofisan, A.: Using the concepts of Case Based Reasoning and Basic Categories for enhancing adaptation to the user's level of knowledge in Decision Support System (2014) 0.05 
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    Abstract
    In most search systems, mapping queries with documents employs techniques such as vector space model, naïve Bayes, Bayesian theorem etc. to classify resulting documents. In this research studies, we are proposing the use of the concept of basic categories to representing the user's level of knowledge based on the concepts he employed during his search activities, so that the system could propose adapted results based on the observed user's level of knowledge. Our hypothesis is that this approach will enhance the decision support system for solving decisional problems in which information retrieval constitutes the backbone technical problem.
    Source
    Knowledge organization in the 21st century: between historical patterns and future prospects. Proceedings of the Thirteenth International ISKO Conference 19-22 May 2014, Kraków, Poland. Ed.: Wieslaw Babik
    Theme
    Case Based Reasoning
  4. Ozturk, P.; Aamodt, A.: ¬A context model for knowledge-intensive case-based reasoning (1998) 0.04 
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    Abstract
    Reports on research which studied how the incorporation of case-specific, episodic, knowledge enables decision-support systems to become more robust and to adapt to a changing environment by continuously retaining new problem-solving cases as they occur during normal system operation
    Source
    International journal of human-computer studies. 48(1998) no.3, S.331-355
    Theme
    Case Based Reasoning
  5. Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.04 
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    Abstract
    Proposes a new architecture combining rule-based reasoning (RBR), case based reasoning (CBR) and knowledge acquisition technology in a system which solves pattern search problems. Details the pattern search problem, the system architecture and functions, error repair method via case-based reasoning, the knowledge acquisition method, system evaluation, and discusses related work
    Date
    6. 3.1997 16:22:15
    Theme
    Case Based Reasoning
  6. Althoff, K.-D.; Wess, S.; Manago, M.; Bergmann, R.; Maurer, F.; Auriol, E.; Conruyt, N.; Traphöner, R.; Bräuer, M.; Dittrich, S.: Induction and case-based reasoning for classification tasks (1994) 0.04 
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    Abstract
    We present 2 techniques for reasoning from cases to solve classification tasks: induction and case-based reasoning. We contrast the 2 technologies (that are often confused) and show how they complement each other. Based on this, we describe how they are integrated in one single platform for reasoning from cases: the INRECA system
    Series
    Studies in classification, data analysis, and knowledge organization
    Theme
    Case Based Reasoning
  7. Dearden, A.M.; Harrison, M.D.: Abstract models for HCI (1997) 0.04 
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    Abstract
    Investigates the use of formal mathematical models in the design of interactive systems and argues for the development of generic models that describe the behaviour of a class of interactive systems. It is possible to construct a generic model of a class of interactive systems at an intermediate level of abstraction. Such a model would offer wider reusability than detailed specifications of a single system, but greater expressiveness and support for software development than fully generate abstract models. Reviews a number of existing models in the literature and presents a generic model of interactive case memories, a class of systems used in case-based reasoning
    Source
    International journal of human-computer studies. 46(1997) no.1, S.151-177
    Theme
    Case Based Reasoning
  8. Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.03 
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    Abstract
    Presents an architeture for combining rule-based and case-based reasoning. It is applied to the problem of name pronunciation. Presents the system independent of the domain of name pronunciation. Describes the Anapron system, which instantiates the architecture for name pronunciation. Presents a set of experiments on Anapron, the key result being an empirical demonstration of the improvement obtained by combining rules and cases. Discusses related work
    Date
    6. 3.1997 16:22:15
    Theme
    Case Based Reasoning
  9. Mazzucchelli, A.; Sartori , F.: String similarity in CBR platforms : a preliminary study (2014) 0.03 
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    Abstract
    Case Based Reasoning is a very important research trend in Artificial Intelligence and can be a powerful approach in the solution of complex problems characterized by heterogeneous knowledge. In this paper we present an ongoing research project where CBR is exploited to support the identification of enterprises potentially going to bankruptcy, through a comparison of their balance indexes with the ones of similar and already closed firms. In particular, the paper focuses on how developing similarity measures for strings can be profitably supported by metadata models of case structures and semantic methods like Query Expansion.
    Pages
    S.22-29
    Theme
    Case Based Reasoning
  10. He, W.; Tian, X.: ¬A longitudinal study of user queries and browsing requests in a case-based reasoning retrieval system (2017) 0.03 
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    Abstract
    This article reports on a longitudinal analysis of query logs of a web-based case library system during an 8-year period (from 2005 to 2012). The analysis studies 3 different information-seeking approaches: keyword searching, browsing, and case-based reasoning (CBR) searching provided by the system by examining the query logs that stretch over 8 years. The longitudinal dimension of this study offers unique possibilities to see how users used the 3 different approaches over time. Various user information-seeking patterns and trends are identified through the query usage pattern analysis and session analysis. The study identified different user groups and found that a majority of the users tend to stick to their favorite information-seeking approach to meet their immediate information needs and do not seem to care whether alternative search options will offer greater benefits. The study also found that return users used CBR searching much more frequently than 1-time users and tend to use more query terms to look for information than 1-time users.
    Theme
    Case Based Reasoning
  11. Ress, D.A.; Young, R.E.: ¬A distributed fuzzy constraint satisfaction system with context-based reasoning (1998) 0.03 
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    Source
    International journal of human-computer studies. 48(1998) no.3, S.393-407
    Theme
    Case Based Reasoning
  12. Veleso, M.; Munoz-Avila, H.; Bergmann, R.: Case-based planning : selected methods and systems (1996) 0.03 
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    Abstract
    Describes a framework for case based planning based on the case based reasoning process model. It covers work based on the integration of a generative problem solver with a case based component. Describes case based reasoning planning systems developed at the Carnegie Mellon University, Pittsburgh
    Theme
    Case Based Reasoning
  13. Mahapatra, R.; Sen, A.: Case base management systems : providing database support to case-based reasoners (1994) 0.02 
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    Abstract
    Case based reasoning offers a new approach for developing knowledge based systems. Most systems are currently prototypes. A number of research issues need to be resolved to facilitate the transition of these prototypes to large application systems, the primary issue being to develop data management support for these prototypes. Analyzes this data management support and proposes a new concept called a casease management system to perfom data management functions for case based systems
    Theme
    Case Based Reasoning
  14. Aamodt, A.; Plaza, E.: Case-based reasoning : foundation issues, methodological variations, and systems approaches (1994) 0.02 
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    Abstract
    Gives an overview of the foundational issues related to case-based reasoning, describes some of the leading methodological approaches within the field, and exemplifies the current state through pointers to some systems
    Theme
    Case Based Reasoning
  15. Issues and applications of case-based reasoning in design (1997) 0.02 
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    Theme
    Case Based Reasoning
  16. Tsatsaoulis, C.; Cheng, Q.; Wei, H.-Y.: Integrating case-based reasoning and decision theory (1997) 0.02 
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    Abstract
    Reports on a methodology that lets case-based reasoning use decision-theoretic approaches to deal with unknown proble features and how to make decisions in the presence of these unknowns. Implements the methodology in a case-based design assistant that helps chemists design pharmaceuticals
    Theme
    Case Based Reasoning
  17. Pfeffer, M.: Automatische Vergabe von RVK-Notationen mittels fallbasiertem Schließen (2009) 0.02 
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    Date
    22. 8.2009 19:51:28
    Theme
    Case Based Reasoning
  18. Löckenhoff, H.: Case-Based Teaching/Learning for issue orientation and control (1996) 0.02 
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    Abstract
    Case Based Reasoning (CBR) is discussed in connection with a wide variety of knowledge aspects. Obviously knowledge acquisition under conditions of rapid and increasingly disruptive change will necessarily rely on the proper use of case experience. The following remarks emerged from practice oriented teaching/learning in the domians of social sciences, practical philosophy, didactics and epistemology. The main interest will be directed to methodical concepts of knowledge transfer, in particular to didactics and learning within the teaching/learning system
    Source
    Analogie in der Wissensrepräsentation: Case-Based Reasoning und räumliche Modelle. 4. Tagung der deutschen Sektion der Internationalen Gesellschaft für Wissensorganisation, Trier, 17.-20. Oktober 1995. Hrsg.: H. Czap u.a
    Theme
    Case Based Reasoning
  19. Araj, H.: Integration of an analogical reasoning model in a model of case resolution (1996) 0.02 
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    Abstract
    The resolution of cases in law depends on the generation of metaphors by analogy. It progresses by association, affinity and juxtaposition of two divergent ideas in an integrative approach. To argue a case, a legal expert cannot limit himself to the perception of isolated facts, but instead must find affinities between fields expressing more cohesion in law. In this paper, it is argued that the legal specialist relies on abstract categorization to discover a precedent and thereby create a metaphorical link that serves in the argumentation stage, and also later on in the resolution of the case. On this basis, a model of case reasoning is charted that integrates a model of analogical reasoning
    Theme
    Case Based Reasoning
  20. Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993) 0.01 
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    Abstract
    A conceptual model for integrating short scientific texts is described, which extends classical text storage and retrieval. A brief comparison with related approaches (such as case-based reasoning and classification-based reasoning) is also provided
    Theme
    Case Based Reasoning

Authors

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