On Reasoning within Different Domains in the Past, Present and Future

The foundations and technologies of Case-Based Reasoning (CBR) has emerged from academic projects to commercial used applications which are supporting everyday life. Everything changes in the long term which includes planning, modeling and developing reasoning software due to new aspects such as big data and various new services provided by cloud computing. Maintaining a balance between achieving the requirements and maximizing the return on investment of a software application can be seen as a difficult task. In this paper we will present the evolution of CBR software over the past years in order to gain an understanding concerning some crucial points when creating a CBR system.

[1]  Phyllis Koton,et al.  Using experience in learning and problem solving , 1988 .

[2]  Carole D. Hafner,et al.  The role of context in case-based legal reasoning: teleological, temporal, and procedural , 2002, Artificial Intelligence and Law.

[3]  Mario Lenz.  Knowledge Sources for Textual CBR Applications , 1998 .

[4]  Liu Hong,et al.  Research on Case-Based Reasoning Combined with Rule-Based Reasoning for Emergency , 2007, 2007 IEEE International Conference on Service Operations and Logistics, and Informatics.

[5]  J.M. Zollner,et al.  Situation classification for cognitive automobiles using case-based reasoning , 2007, 2007 IEEE Intelligent Vehicles Symposium.

[6]  Dekang Lin,et al.  An Information-Theoretic Definition of Similarity , 1998, ICML.

[7]  Koton Phyllis,et al.  Using experience in learning and problem solving , 1988 .

[8]  Azam Bastanfard,et al.  An Efficient Method for Logging Strategy Using Case Based Reasoning in Soccer Simulation , 2009, 2009 Third Asia International Conference on Modelling & Simulation.

[9]  Li Li,et al.  Research on Emergency Intelligent Decision Based on GIS and Case-Based Reasoning , 2010, 2010 International Conference on System Science, Engineering Design and Manufacturing Informatization.

[10]  Manuela M. Veloso,et al.  Retrieving and Reusing Game Plays for Robot Soccer , 2006, ECCBR.

[11]  R. Nosofsky.  Attention, similarity, and the identification-categorization relationship. , 1986 .

[12]  Janet L. Kolodner,et al.  Reconstructive Memory: A Computer Model , 1983, Cogn. Sci..

[13]  Sean Breen,et al.  Developing Industrial Case-Based Reasoning Applications: The INRECA Methodology , 1999 .

[14]  Monty Newborn.  Deep Blue Establishes Historic Landmark , 2011 .

[15]  Bernhard Freudenthaler,et al.  On Similarity in Case-Based Reasoning for Structural Health Monitoring , 2009, EUROCAST.

[16]  Sanja Petrovic,et al.  Dealing with missing values in a clinical case-based reasoning system , 2009, 2009 2nd IEEE International Conference on Computer Science and Information Technology.

[17]  Agnar Aamodt,et al.  Case-Based Reasoning: Foundational Issues, Methodological Variations, and System Approaches , 1994, AI Commun..

[18]  Ralph Bergmann.  Highlights of the European INRECA Projects , 2001, ICCBR.

[19]  John Nunn.  Secrets of Rook Endings , 1992 .

[20]  C SchankRoger,et al.  Dynamic Memory: A Theory of Reminding and Learning in Computers and People , 1983 .

[21]  David A. Ferrucci.  IBM's Watson/DeepQA , 2011, SIGARCH Comput. Archit. News.

[22]  Enric Plaza,et al.  A case-based apprentice that learns from fuzzy examples , 1991 .

[23]  Rajeev Saggar,et al.  Il Buono, Il Brutto, Il Cattivo , 2014, Thorax.

[24]  Josef Küng,et al.  Using R, WEKA and RapidMiner in Time Series Analysis of Sensor Data for Structural Health Monitoring , 2011, 2011 22nd International Workshop on Database and Expert Systems Applications.

[25]  Stefan Wess,et al.  INRECA - A Seamless Integration of Induction and Case-Based Reasoning for Decision Support Tasks , 1995 .

[26]  R. Nosofsky.  Attention, similarity, and the identification-categorization relationship. , 1986, Journal of experimental psychology. General.

[27]  Dennis DeCoste,et al.  The Future of Chess-Playing Technologies and the Significance of Kasparov Versus deep Blue , 1997, Deep Blue Versus Kasparov: The Significance for Artificial Intelligence.

[28]  Agnar Aamodt,et al.  Dialog Learning in Conversational CBR , 2006, FLAIRS.

[29]  Sandra Kübler.  Memory-Based Parsing , 2005, Computational Linguistics.

[30]  Ralph Bergmann,et al.  Adaptation with the INRECA - System , 1999 .