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A Comparison of Uncertainty Calculi in an Expert System for Information Retrieval

Richard M. Tong, Daniel G. Shapiro, Jeffrey S. Dean, Brian P. McCune
1983 International Joint Conference on Artificial Intelligence  
This paper describes the first stages of an experimental investigation into the effects of using various calculi to propagate uncertainty in an interactive expert system for information retrieval.  ...  We conclude that specification of an uncertainty calculus is a subtle problem that interacts in several ways with the scheme used to represent the expert knowledge.  ...  In an attempt to clarify some of these issues, we have used RUBRIC (RUle Based Retrieval of Information by Computer), a research prototype system for rule-based information retrieval (see McCune et al  ... 
dblp:conf/ijcai/TongSDM83 fatcat:t5nqns333rgmdepufyx2o5dchu

Page 2850 of Psychological Abstracts Vol. 81, Issue 6 [page]

1994 Psychological Abstracts  
It is noted that an important issue in the design of knowledge-based systems is how to equip them with the capability to transmit uncertainty from imprecise premises to a conclusion and associate the conclusion  ...  (George Mason U, Dept of Systems Engineering, Fairfax, VA) A note on the ap- plication of classicai statistics to evaluating the knowledge base of an expert system.  ... 

Integrating Case-Based and Rule-Based Reasoning: the Possibilistic Connection [article]

Soumitra Dutta, Piero P. Bonissone
2013 arXiv   pre-print
These ideas have been implemented in a prototype system called MARS.  ...  This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules.  ...  An intelligent information retrieval system should be able to analyze such natural language data and extract the reasons (interpretations) for events and actions.  ... 
arXiv:1304.1116v1 fatcat:ju7sud4x3fejrpldc2sewdoht4

Urref Reliability Versus Credibility In Information Fusion (Stanag 2511)

Erik Blasch, Kathryn B. Laskey, Anne-Laure Jousselme, Valentina Dragos, Paulo C. G. Costa, Jean Dezert
2015 Zenodo  
In this paper, we seek to develop a mathematical relation of weight of evidence using credibility and reliability as criteria for characterizing uncertainty in information fusion systems.  ...  For many operational information fusion systems, both reliability and credibility are evaluation criteria for collected information.  ...  For example, in Information Retrieval, the process is used to assess the relevance of retrieved items (documents) based on a given query.  ... 
doi:10.5281/zenodo.22660 fatcat:q3h3fiuxane2lefhcw43ehdgvq

Integrating case- and rule-based reasoning

Soumitra Dutta, Piero P. Bonissone
1993 International Journal of Approximate Reasoning  
This integration is illustrated in the financial domain of mergers and acquisitions. These ideas have been implemented in a prototype system, called a Mergers and Acquisitions Reasoning System (MARS).  ...  This paper presents an approach to achieve a compact and seamless integration of RBR and CBR within the base architecture of rules.  ...  ACKNOWLEDGMENT The support and help given by General Electric and various members of the AI program at GE Corporate R & D is gratefully acknowledged.  ... 
doi:10.1016/0888-613x(93)90001-t fatcat:i7qv3d4pord5tiv5culs2lshmm

High Performance ATP Systems by Combining Several AI Methods

Jörg Denzinger, Marc Fuchs, Matthias Fuchs
1997 International Joint Conference on Artificial Intelligence  
We present a design for an automated theorem prover that controls its search based on ideas from several areas of artificial intelligence (AI).  ...  The combination of case-based reasoning, several similarity concepts, a cooperation concept of distributed AI and reactive planning enables a system to learn from previous successful proof attempts.  ...  Acknowledgments This work was supported by the Schwerpunktprogramm Deduktion of the Deutsche Forschungsgemeinschaft (DFG).  ... 
dblp:conf/ijcai/DenzingerFF97 fatcat:nkuorq2wb5h6lem4m5zl3trlui

Problems and Prospects in Fuzzy Data Analysis [chapter]

Rudolf Kruse, Christian Borgelt, Detlef Nauck
2000 Lecture Notes in Computer Science  
Since the aim of fuzzy technology has always been to model linguistic information and to achieve understandable solutions, we expect it to play an important role in information mining.  ...  In meeting the challenges that resulted from the explosion of collected, stored, and transferred data, Knowledge Discovery in Databases or Data Mining has emerged as a new research area.  ...  For a conceptual and comparative study of fusion strategies in various calculi of uncertainty see Gebhardt and Kruse [14] and Dubois et al [15] .  ... 
doi:10.1007/10720181_4 fatcat:4b4he3jsorgaxmsmdavojhctiy

Fuzzy Relational Modeling of Cost and Affordability for Advanced Technology Manufacturing Environment [article]

Ladislav J. Kohout, Eunjin Kim, Gary Zenz
2003 arXiv   pre-print
A brief overview of mathematical aspects of BK-relational products is given in Appendix 1 together with further references in the literature.  ...  Relational representation of knowledge makes it possible to perform all the computations and decision making in a uniform relational way by means of special relational compositions called triangle and  ...  C.3.4 below) • The method of summarization of preorders to provide an interval ranking of objects or attributes. • Generalized morphisms based comparison of structures: for relating information concerning  ... 
arXiv:cs/0310021v1 fatcat:xt6tccjcgzdutn5ky2g7ytdnfe

Learning and programming in classifier systems

Richard K. Belew, Stephanie Forrest
1988 Machine Learning  
We discuss several dimensions for examining the tradeoffs between programmed and learned representations, and we propose an optimization model for constructing hybrid systems that combine positive aspects  ...  Classifier systems are low-level learning systems that are also capable of supporting representations at the symbolic level, in this paper, we explore in detail the issues surrounding the integration of  ...  Acknowledgements We thank David Goldberg and especially Pat Langley for editorial assistance above and beyond the call of duty.  ... 
doi:10.1007/bf00113897 fatcat:5e6gj7edynf37m727apu3xvkcq

MARS: A mergers and acquisitions reasoning system

Piero P. Bonissone, Soumitra Dutta
1990 Computer Science in Economics and Management  
Consequently, it is an area of intense activity and interest within the financial community.  ...  Mergers and acquisitions (M&A) are currently revolutionizing the structure of corporate USA and annually involve deals totalling billions of dollars.  ...  We would also like to thank an anonymous referee for some very useful comments and suggestions.  ... 
doi:10.1007/bf00437066 fatcat:vugrzirjjzcgtniyl4buajjy6u

Data Mining with Graphical Models [chapter]

Rudolf Kruse, Christian Borgelt
2002 Lecture Notes in Computer Science  
The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all available information.  ...  Therefore a new line of research has recently been established, which became known under the names "Data Mining" and "Knowledge Discovery in Databases".  ...  The axiomatic framework of a valuationbased system [32] can represent various uncertainty calculi such as probability theory, Dempster-Shafer theory, and possibility theory.  ... 
doi:10.1007/3-540-36169-3_3 fatcat:xuvjjmaddrbzzhbl37a3h3rc7a

Data mining with graphical models [chapter]

Rudolf Kruse, Christian Borgelt
1998 Lecture Notes in Computer Science  
The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all available information.  ...  Therefore a new line of research has recently been established, which became known under the names "Data Mining" and "Knowledge Discovery in Databases".  ...  The axiomatic framework of a valuationbased system [32] can represent various uncertainty calculi such as probability theory, Dempster-Shafer theory, and possibility theory.  ... 
doi:10.1007/bfb0095424 fatcat:umpdpvtkkncljfr3e3fewzqs3m

Data Mining with Graphical Models [chapter]

Rudolf Kruse, Christian Borgelt
2002 Lecture Notes in Computer Science  
The explosion of data stored in commercial or administrational databases calls for intelligent techniques to discover the patterns hidden in them and thus to exploit all available information.  ...  Therefore a new line of research has recently been established, which became known under the names "Data Mining" and "Knowledge Discovery in Databases".  ...  The axiomatic framework of a valuationbased system [32] can represent various uncertainty calculi such as probability theory, Dempster-Shafer theory, and possibility theory.  ... 
doi:10.1007/3-540-36182-0_2 fatcat:6eaidf2ok5a4hi5nj4ldne4gby

Implementing fuzziness in dialogue systems, bericht Nr. 14

Wolfgang Wahlster
1980 Information Systems  
Surveys of AI approaches to the problems of vagueness can be found in WAHLSTER (1977) and PRADE (1979) .  ...  A problem which must be dealt with by any reasonably general computer simulation of the cognitive processes underlying natural language dialogue behaviour is the inherent fuzziness of natural language  ...  ACKNOWLEDGEMENTS I wish to thank Anthony Jameson for suggesting a number of improvements to an earlier draft of this paper.  ... 
doi:10.1016/0306-4379(80)90021-6 fatcat:voo2c6sc7zajfldmo43cjzcqcu

Relational Model of Data over Domains with Similarities: An Extension for Similarity Queries and Knowledge Extraction

Radim Belohlavek, Vilem Vychodil
2006 2006 IEEE International Conference on Information Reuse & Integration  
We present a relational algebra, and tuple and domain calculi for our model and prove their equivalence.  ...  It consists in equipping each domain of attribute values with a similarity relation and in modifying the classical relational model in order to account for issues generated by adding similarities.  ...  Here, we put operations interesting from the point of information retrieval which cannot be accounted for in classical model.  ... 
doi:10.1109/iri.2006.252414 dblp:conf/iri/BelohlavekV06b fatcat:tf2bi3hx7jcxplip7l2x7oiwd4
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