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G. Riley. Version 4.3 clips reference manual. Technical Report JSC-22948, Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1989.

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MRI Segmentation Using Fuzzy Clustering Techniques - Clark, Hall, Goldgof.. (1994)   (8 citations)  (Correct)

....If the slice is determined to be abnomal, the entire volume is also considered abnormal and processing halts. Otherwise, the system will proceed to the next slice and repeat the classification steps until all slices that comprise the vol ume are processed. A rule based expert system tool, CLIPS [6, 7], is used to organize fire system. Low level modules for image processing and high level modules for image analysis, all written in the C language. are called as actions from the right hand sides of the rules. The system described in this paper is an attempt to provide completely automatic ....

G. Riley. Version 4.3 clips reference manual. Technical Report JSC-22948, Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1989.


Ieee Pes Proceedings Paper Submission Cover Sheet - Notes The Paper (2002)   (Correct)

....when the transition occurs. For some signals, there are no more features to be extracted but for other signals, more processing is required in the fourth step. B. Expert System Analysis The analysis of circuit breaker recordings is performed by a rule based expert system implemented in CLIPS [4]. The purpose of developing an expert system was to emulate the decision making process of a human expert [5] The system was designed and developed through extensive interviews with a group of experts at Reliant Energy HL P who have experience in analyzing circuit breaker records. The interviews ....

....short term memory (STM) long term memory (LTM) and an inference engine as shown in Fig. 4 [5] The short term memory and the long term memory collectively make up the knowledge base. Fig. 4. Expert system analysis process The short term memory consists of pieces of information called facts [4]. In this particular expert system, two types of facts were implemented: the parameters extracted from the signal processing module and the settings for each of the parameters. Many of the settings contain a set value and a tolerance. The set value represents the expected normal value for a ....

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"CLIPS -- Reference Manual," Artificial Intelligence Section, Johnson Space Center, Houston, Texas, September 1987.


Facilitating Hard Active Database Applications - Warshaw (2001)   (Correct)

....flat monolithic rule language, such as OPS5, specific protocols concerning the structure of rules have been suggested [4,75] Rule Groups: In a number of systems rules can be grouped together into rule groups . The flow of control among the groups is performed by explicit procedural invocation [38,45,53]. In [7] a method is proposed in which rule developers must establish metrics to determine the stratum classification of rules. Program execution proceeds by moving from lower priority stratums to higher priority stratums. Other approaches include the use of regular expressions in a meta level to ....

....in which rule developers must establish metrics to determine the stratum classification of rules. Program execution proceeds by moving from lower priority stratums to higher priority stratums. Other approaches include the use of regular expressions in a meta level to define legal sequences [45,49]. Object Embedded: Rule groups are defined as objects and or rules that are used to define individual members of an object [14,65,73] An aspect shared by each of the above solutions is that they are procedural in nature. For example, in most of the rule group solutions, control moves from ....

J. Giarrantano. CLIPS User's Guide. Artificial Intelligence Section, Lyndon B. Johnson Space Center, June, 1989.


Performance Evaluation of Rule Grouping On A Real-Time Expert.. - Chen, Poole (1994)   (1 citation)  (Correct)

....University of Mississippi, Weir 302, University, MS 38677. This work was supported in part by the AFOSR under the 1991 Summer Research Program and the National Science Foundation under grant CCR 9110816. 1 shells supported by SKRAM, such as the C Language Integrated Production System (CLIPS) [5] and the Automated Reasoning Tool (ART) 17] These user specified rule groups are automatically translated by SKRAM s translator into efficient Ada run time processes (with each process corresponding to a rule group) which communicate with each other via message passing. To facilitate real time ....

J.L. Giarratano, CLIPS User's Guide, Artificial Intelligence Section, Lyndon B. Johnson Space Center, June 1988. 22


An Application of Artificial Intelligence for Computer-Aided .. - Marx Schrage And (1995)   (1 citation)  (Correct)

....domainspecific knowledge, thereby separating the control from the knowledge. Hence, new expert systems could be created simply by adding new knowledge applicable to another domain. The resulting domain independent interpreters were called shells. The C Language Integrated Production System (CLIPS) [4] has been selected as the expert system shell for the development of the KBS described by this paper. CLIPS was developed at NASA Johnson Space Center and is a publicly available code. Because expert systems are usually written primarily as rule based systems, a forward chaining or ....

CLIPS Version 6.02 Reference Manuals, Artificial Intelligence Section, NASA Johnson Space Center, May 1994.


Encapsulating Rules - Miranker   (Correct)

....of a knowledge based diagnostic system. The CERS embedding rules in C objects did introduce the control paradigm of message passing to rule based programming. Compared to our previous experiences with monolithic rule systems such as OPS5, CLIPS and ART IM, CERS programs had much better structure[4,5]. Nevertheless, much of the declarative advantages of rule programming was lost. Behavior became procedurally distributed in both time and space. Correctness of the resulting programs relied heavily on the programming prowess of the developers and debugging. The declarative nesting mechanisms of ....

J.C. Giarratano. CLIPS User's Guide, Version 4.2. Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1988.


Symbolical Reasoning about Numerical Data: A Hybrid Approach - Herrmann (1997)   (1 citation)  (Correct)

....between the neuron representing the rule and the output neuron. Rule (2) has a negative strength indicating a negation of the conclusion (dashed line in Figure 7) 3. 5 Fuzzy Expert System The heart of our hybrid system is a fuzzy expert system, called FuzzyCLIPS [ 42 ] derived from CLIPS [ 41 ] which has previously been used for medical reasoning [ 9 ] This expert system consists mainly of three components (see Figure 2, Fuzzy expert system ) the dual source knowledge base containing the combined rule sets from inductive and deductive learning, the user knowledge base where the ....

NASA. CLIPS Reference Guide. Artificial Intelligence Section, 1993.


Monitoring Network Logs for Anomalous Activity - Warshaw, Matzner, Miranker.. (1998)   (1 citation)  (Correct)

....serializable and exclusive modes) implies locks gained during condition evaluation must be maintained through action execution. Thus, for VenusDB programs, a decoupled CA coupling mode is not appropriate. Further, the Venus system (as well as other rule based environments like CLIPS or OPS [5,4]) operates with individual rules as atomic elements, implying action execution immediately following condition evaluation. Thus, an immediate CA coupling mode is dictated. This leaves the EC coupling mode for chained rules. Recall that the event triggering the rule evaluation necessarily must be ....

....as described above. Additionally, if mean time transaction processing and database update rates can be determined, a queuing model can be established and the execution can be scheduled by an asynchronous real time operating system with hard real time constraints as described in Mok, et al. [5], Correl and Miranker [2] and E. Do du and zsoyo lu [3] 5 We would like for this evaluation to be done upon database commit. We believe this should be a standard option of trigger semantics. Otherwise, the rule system may be notified of an insertion that is later aborted and evaluate rules ....

J.C. Giarratano. CLIPS User's Guide. Artificial Intelligence Section, Lyndon B. Johnson Space Center, June 1989.


A Case Study of Venus and a Declarative Bases for Rule Modules - Warshaw, al. (1996)   (Correct)

....monolithic rule language, such as OPS5, specific protocols concerning the structure of rules have been suggested[6] 21] Rule Groups: In a number of systems rules can be grouped together into rule groups . The flow of control among the groups is performed by explicit procedural invocation[9][10][14] Some authors have suggested the use of regular expressions in a meta level to define legal sequences[10] 11] Object Embedded: Rule groups can be defined to be objects and or rules can be used to define individual members of an object[2] 7] 19] The motivations behind Venus is most ....

..... Rule Groups: In a number of systems rules can be grouped together into rule groups . The flow of control among the groups is performed by explicit procedural invocation[9] 10] 14] Some authors have suggested the use of regular expressions in a meta level to define legal sequences[10][11] Object Embedded: Rule groups can be defined to be objects and or rules can be used to define individual members of an object[2] 7] 19] The motivations behind Venus is most similar to those that produced the development of the RIME protocol for R1 XCON[6] Also, it is only through the ....

J.C. Giarratano. CLIPS User's Guide, Version 6.0. Artificial Intelligence Section, Lyndon B. Johnson Space Center,1994.


A New Approach to Modularity in Rule-Based Programming - Browne, Emerson, Gouda.. (1994)   (14 citations)  (Correct)

....messages to regulate rule firing. These protocols manifest groups of related rules and key transitions in control flow. ffl Rule Groups: In a number of systems rules can be grouped together into rule groups . The flow of control among the groups is performend by explicit procedural invocation[11, 12, 9]. The semantics of control, or matching of the rule groups, in these solutions is limited to explicit procedural subroutine invocation. ffl Object Embedded: Rule groups can be defined to be objects and or rules can be used to define individual members of an object[15, 2] Embedding in an object ....

J.C. Giarratano. CLIPS User's Guide, Version 4.2. Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1988.


Venus: An Object-Oriented Extension of Rule-Based.. - Miranker, Obermeyer.. (1998)   (1 citation)  (Correct)

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Giarratano, J. C. CLIPS User's Guide, Version 4.2. Artificial Intelligence Section, Lyndon B. Johnson Space Center, 1988.

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