René Reboh’s research while affiliated with HP Inc. and other places

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Publications (8)


A Functional Approach to Integrating Database and Expert Systems.
  • Article

December 1988

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18 Reads

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37 Citations

Communications of the ACM

Tore Risch

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René Reboh

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Peter E. Hart

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Richard O. Duda

A new system architecture is described that shares certain characteristics with database systems, expert systems, functional programming languages, and spreadsheet systems, but is very different from any of these. It is based on a uniform use of side-effect-free functions that represent facts and knowledge in a nonprocedural programming system. Database objects are represented by arbitrary extensional functions, i.e., tables, while domain knowledge is represented by side-effect-free intensional functions composed from a suitable library. Both default and inexact information are accommodated by treating values of database objects as random variables with associated probability distributions. The uniformity that results from functional representations leads to a corresponding uniformity in database and knowledge-base operations.






Industrial Strength Knowledge Bases: Issues and Experiences - Knowledge Base Stability, Memory: Unitorm or Structured, Integrity, Knowledge Acquisition and the User Interface, Joint Knowledge Base Development, Intertaces to Databases (Panel).

January 1983

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18 Reads

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1 Citation

Recently we have entered an era of intense government and industrial interest in AI systems. In the development of robust AI systems, the role of the knowledge base Is extremely important. A significant investment in knowledge base development will be made over the next few years. Consequently the adequacy of current techniques for the development and maintenance of large knowledge bases must be given critical review. Like database development in the early sixties, knowledge base development issues are likely to dominate AI system development. These issues are likely to drive the development of practical techniques as well as the refinement theoretical approaches.


Extracting Useful Advice From Conflicting Expertise.

January 1983

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3 Reads

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24 Citations

A method for automatically identifying areas of disagreement and their sources is presented for multiexpert knowledge-based systems in the context of the Prospector consultation system. It employs performance evaluation techniques in combination with the explanatory facilities present in many expert systems to assist the user of an expert system in deciding which among several possibly conflicting expert opinions he should choose.


Citations (5)


... Unfortunately, this particular statement, which is similar to others we have encountered elsewhere, has no factual basis. [19] Dendral's team even suggested that the lack of feedback they got from users was an indication of successful use (rather than -as most producers of programs would realise -a lack of use of the program) by writing: ...

Reference:

The rise and fall of the legal expert system†† Previously published in Leith P., ‘The rise and fall of the legal expert system’, in European Journal of Law and Technology, Vol 1, Issue 1, 2010.View all notes
Letter to the editor
  • Citing Article
  • July 1985

Artificial Intelligence

... Most researchers working on knowledge-based simulation attempt either to couple a numerical simulation tool with an AI knowledge representation language (Holsapple and Whinston 1988), (Klein and Methlie 1995) or to integrate numerical simulation facilities in an AI knowledge representation language (Reboh and Risch 1986), (Gelman et al. 1988). However, the result is in both cases affected by a well-known bottleneck of Copyright © 1998, American Association for Artificial Intelligence (www.aaai.org). ...

SYNTELTM: Knowledge Programming Using Functional Representations
  • Citing Article
  • January 1986

... If we take apart pioneering works like MYCIN and TEIRESIAS (Shortliffe, 1976;Davis and Lenat, 1982 ;Buchanan and Shortliffe, 1984) or PROSPECTOR (see Reboh, 1983), most of the works for developing the explanation capabilities of expert systems do not take into account uncertainty. What is proposed in MYCIN is limited to the treatment of two typeS of questions : "how has this conclusion been established ?", and "why has the system tried to establish this fact?". ...

Extracting Useful Advice From Conflicting Expertise.
  • Citing Conference Paper
  • January 1983

... Typically, database management systems involve a relatively small number of relations or files holding a large number of records, whereas rule-based systems consist of a large number of relationships with a small number of records [63]. Additionally, relational databases essentially represent knowledge in a first-order logic formalism and query languages mostly exploit first-order logic features. ...

A Functional Approach to Integrating Database and Expert Systems.
  • Citing Article
  • December 1988

Communications of the ACM

... The loans manager enters data gathered from an interview with the customer and their historic management records into 'Lending Advisor' (LA). The LA DSS then calculates the probability of the loan defaulting, drawing upon data profiles of companies who defaulted on loans in the past (Duda et al 1987). Lending Advisor presented an opportunity to augment managers' local lay knowledge with rational-calculative technique; however, its potential to be used in this way was increasingly compromised as it became drawn into burgeoning rationalization driven through by executive management. ...

Syntel Using a Functional Language for Financial Risk Assessment
  • Citing Article
  • October 1987

IEEE Expert