Search (22 results, page 1 of 2)

  • × theme_ss:"Case Based Reasoning"
  • × year_i:[1990 TO 2000}
  1. 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 (1996) 0.08 
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    Abstract
    Enthält die Beiträge: CZAP, H.: Einführung in die Wissensorganisation und Case-Based Reasoning (CBR); ALTHOFF, K.-D., R. TRAPHÖNER u. S. WESS: Efficient integration on induction and Case-Base Reasoning: the INRECA System; SCHIEMANN, I. u. A. WOLTERING: Fallspeicherorganisation in der CBR-Shell Janus; COULON, C.-H.: Die Rolle des Anpassungswissens im CBR (Am Beispiel der Ausnutzung von Struktur im CBR); SCHAAF, J.W.: Fischen und Versenken: ein anytime-Algorithmus zur Suche nach situationsgerechten Fällen; JAENECKE, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern; LÖCKENHOFF, H.: Cabse-Based Teaching/Learning for issue orientation and control; BIES, W.: 'Denken in Bildern': zu den Metaphern der Wissensorganisation; PRIBBENOW, S.: Räumliches Wissen: zur Interaktion von Logik und Bildern; STOLLE, M. u. V. KIRCHBERG: Mental maps in der Stadtforschung: Grundlage und Perspektiven; BAYER, H. u. R. BAUEREISS: Der Familienatlas als sozialräumliche Information; HARDT, F., G. TASSOUKIS u. H.P. OHLY: Räumliche Hintergrundinformation in bibliographischen Datenbanken; SALENTIN, K.: Geodemographische Ansätze beim Sampling im Direktmarketingverfahren; PIERAU, K., G. NARWELEIT u. H. THÜMMLER: Entwicklung eines Geographisch-Historischen Informationssystems; LENSKI, W. u. E. WETTE-ROCH: Terminologie und Wissensrepräsentation in pragmatischer Sichtweise; FUGMANN, R.: Die Entlineaririserung und Strukturierung von Texten zur Inhaltserschließung und Wissensrepräsentation; LORENZ, B.: Überlegungen zur Verbundklassifikation; NACKE, O.: Ein einfaches Verfahren zur Analyse großer Wissensmengen; BOL, G., E. HOTZ u. T. STÜTZLE: Neuronale Netze zur Klassifikation von Fehlrern in der statistischen Prozeßregulierung
    Editor
    Czap, H., P. Jaenecke u. H.P. Ohly
    Pages
    VII,216 S
    Type
    s
  2. 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) 0.03 
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    Pages
    S.3-16
    Source
    Information systems and data analysis: prospects - foundations - applications. Proc. of the 17th Annual Conference of the Gesellschaft für Klassifikation, Kaiserslautern, March 3-5, 1993. Ed.: H.-H. Bock et al
    Type
    a
  3. Veleso, M.; Munoz-Avila, H.; Bergmann, R.: Case-based planning : selected methods and systems (1996) 0.02 
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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
    Source
    AI communications. 9(1996) no.3, S.128-137
    Type
    a
  4. Mahapatra, R.; Sen, A.: Case base management systems : providing database support to case-based reasoners (1994) 0.01 
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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
    Source
    Journal of database management. 5(1994) no.2, S.19-29
    Type
    a
  5. Issues and applications of case-based reasoning in design (1997) 0.01 
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    Editor
    Maher, M.L. u. P. Pu
    Footnote
    Rez. in: JASIS 49(1998) no.8, S.762-764 (P.G. Underwood)
    Pages
    342 S
    Type
    s
  6. Ram, A.; Santamaria, J.C.: Continuous case-based reasoning (1997) 0.01 
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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
    Source
    Artificial intelligence. 90(1997) nos.1/2, S.25-77
    Type
    a
  7. Kohno, T.: Error repair and knowledge acquisition via case-based reasoning (1997) 0.01 
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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
    Source
    Artificial intelligence. 91(1997) no.1, S.85-101
    Type
    a
  8. Golding, A.R.; Rosenbloom, P.S.: Improving accuracy by combining rule-based and case-based reasoning (1996) 0.01 
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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
    Source
    Artificial intelligence. 87(1996) nos.1/2, S.215-254
    Type
    a
  9. Araj, H.: Integration of an analogical reasoning model in a model of case resolution (1996) 0.00 
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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
    Source
    Knowledge organization. 23(1996) no.3, S.130-134
    Type
    a
  10. Czap, H.: Einführung in Wissensorganisation und Case-Based Reasoning (1996) 0.00 
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    Pages
    S.2-12
    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
    Type
    a
  11. Coulon, C.-H.: ¬Die Rolle des Anpassungswissens im CBR : am Beispiel der Ausnutzung von Struktur im CBR (1996) 0.00 
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    Pages
    S.34-41
    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
    Type
    a
  12. Tsatsaoulis, C.; Cheng, Q.; Wei, H.-Y.: Integrating case-based reasoning and decision theory (1997) 0.00 
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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
    Source
    IEEE expert. 12(1997) no.4, S.46-55
    Type
    a
  13. Löckenhoff, H.: Case-Based Teaching/Learning for issue orientation and control (1996) 0.00 
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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
    Pages
    S.65-73
    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
    Type
    a
  14. Jaenecke, P.: Erkenntnistheoretische Untersuchungen über fallbezogenes Schlußfolgern (1996) 0.00 
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    Pages
    S.50-64
    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
    Type
    a
  15. Chen, Z.: ¬A conceptual model for storage and retrieval of short scientific texts (1993) 0.00 
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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
    Source
    Information processing and management. 29(1993) no.2, S.209-214
    Type
    a
  16. Dearden, A.M.; Harrison, M.D.: Abstract models for HCI (1997) 0.00 
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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
    Type
    a
  17. Ozturk, P.; Aamodt, A.: ¬A context model for knowledge-intensive case-based reasoning (1998) 0.00 
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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
    Footnote
    Contribution to a special issue on using context in computer applications
    Source
    International journal of human-computer studies. 48(1998) no.3, S.331-355
    Type
    a
  18. Ress, D.A.; Young, R.E.: ¬A distributed fuzzy constraint satisfaction system with context-based reasoning (1998) 0.00 
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    Abstract
    Presents a fuzzy constraint satisfaction system which can be used in a distributive environment where large problems can be broken down into smaller constraint networks for easier processing. Identifies contexts which exist within the constraint satisfaction system. Context based reasoning is identified both within and among constraint networks. Outlines the motviation behind the research and describes the fuzzy constraint satisfaction system FuzCon. Points out 3 mappings of the context-based reasoning 'ist' operator to fuzzy constraints and presents an example of designing a printed wiring board
    Footnote
    Contribution to a special issue on using context in computer applications
    Source
    International journal of human-computer studies. 48(1998) no.3, S.393-407
    Type
    a
  19. Rissland, E.L.; Daniels, J.J.: ¬The synergistic application of CBR to IR (1996) 0.00 
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    Abstract
    Discusses a hybrid approach combining case-based reasoning and information retrieval for the retrieval of full text documents. It takes as input a standard symbolic representation of a problem case and retrieves text of relevant cases from a document collection dramatically larger than the case base available to the CBR system. It works by performing a standard HYPO style analysis and uses the texts associated with important classes of cases found in this analysis to seed a modified version of INQUERY's relevance feedback mechanism in order to generate a query composed of individual terms or pairs of terms. It exteds the reach of CBR to much larger corpora, and it anbales the injection of knowledge based techniques into traditional IR. Describes the CBR-IR approach and reports on-going experiments
    Footnote
    Contribution to a special issue on the application of artificial intelligence to information retrieval
    Source
    Artificial intelligence review. 10(1996) nos.5/6, S.441-475
    Type
    a
  20. Aamodt, A.; Plaza, E.: Case-based reasoning : foundation issues, methodological variations, and systems approaches (1994) 0.00 
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    Source
    AI communications. 7(1994) no.1, S.39-59
    Type
    a

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