2009
DOI: 10.1007/s10472-009-9147-4
|View full text |Cite
|
Sign up to set email alerts
|

A Groebner bases-based approach to backward reasoning in rule based expert systems

Abstract: The aim of this paper is to present theoretically a new algebraic method for detecting potentially dangerous states in a Rule Based Expert System whose knowledge is represented by propositional Boolean logic. Given a dangerous state which does not happen at present, our method is able to detect a possible input fact such that, if it also occurred, the dangerous situation really would happen. This method, inspired by automatic discovery of geometric theorems, is based on calculating just one reduced Groebner ba… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
10
0

Year Published

2010
2010
2018
2018

Publication Types

Select...
5

Relationship

3
2

Authors

Journals

citations
Cited by 10 publications
(10 citation statements)
references
References 18 publications
0
10
0
Order By: Relevance
“…In [6] authors show an algebraic method for detecting potentially dangerous states in a Rule Based Expert System (RBES) whose knowledge is represented by Propositional Logic. Given K made up of rules, the idea is to consider the potential facts that make K to infer an unwanted value (which leads a danger or undesirable state).…”
Section: Detecting Potentially Dangerous Statesmentioning
confidence: 99%
“…In [6] authors show an algebraic method for detecting potentially dangerous states in a Rule Based Expert System (RBES) whose knowledge is represented by Propositional Logic. Given K made up of rules, the idea is to consider the potential facts that make K to infer an unwanted value (which leads a danger or undesirable state).…”
Section: Detecting Potentially Dangerous Statesmentioning
confidence: 99%
“…The model described in [24] has been widely used to implement different expert systems using mathematical software like CoCoA or Maple. These computational algebra-based expert systems can be very easily implemented and present the advantage of enabling very quick deductions once the reduced Groebner basis is calculated [25].…”
Section: Possible Applicationsmentioning
confidence: 99%
“…Details on the topic of this section, our most recent result, can be found in [25]. Based on the classical works of automatic discovery of geometric theorems [14,23] (a topic already advanced in [8]), we have now adapted this idea to a specific task in RBES whose underlying logic is classic Boolean logic: given a set of facts and a goal, finding a new fact such that if it also held, this goal would be inferred.…”
Section: Backward Reasoning In Rule Based Expert Systems Whose Underlmentioning
confidence: 99%
“…Based on the classical works of automatic discovery of geometric theorems [14,23] (a topic already advanced in [8]), we have now adapted this idea to a specific task in RBES whose underlying logic is classic Boolean logic: given a set of facts and a goal, finding a new fact such that if it also held, this goal would be inferred. The main result proven in [25] (Theorem 5 below) shows how it is enough to compute one single reduced GB in order to detect them:…”
Section: Backward Reasoning In Rule Based Expert Systems Whose Underlmentioning
confidence: 99%