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J. de Kleer and B.C. Williams. Diagnosis with Behavioral Modes. In Proceedings of IJCAI-89, August 1989.

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Metrics for Labelled Markov Processes - Desharnais, Jagadeesan, al. (2003)   (Correct)

....by assigning a variable, called the mode of the component, to represent the physical state of the component, and associating a failure model with each value of the mode variable. Probabilistic information can be incorporated by letting the mode vary according to the given probability distribution [dKW89] The diagnostic engine computes the most probable diagnostic hypothesis, given observations about the current state of the system. These examples illustrate the modes of contextual reasoning that interest us. In the rst example, we are interested in exploring whether the analyzed component c ....

Johan de Kleer and B. C. Williams. Diagnosis with behavioral modes. In Proceedings of the Eleventh International Joint Conference on Arti cial Intelligence, pages 1324{ 1330, August 1989.


A Model Counting Characterization of Diagnoses - Kumar (2002)   (1 citation)  (Correct)

....theory developed in this paper is therefore equally applicable to dynamic systems too (although we omit the discussion due to restrictions on the length of the paper) Many approaches have been used in the past to characterize diagnoses and systems. Among the most comprehensive pieces of work are [de Kleer and Williams, 1989] , Reiter, 1987] Struss and Dressler, 1989] Console et al. 1989] de Kleer et al. 1992] Poole, 1994] Kohlas et al. 1998] and [Lucas, 2001] The popular characterizations of diagnoses include consistency based diagnosis, fault models, abduction, combinatorial optimization, and ....

de Kleer J. and Williams B. C. Diagnosis with Behavioral Modes. In Proceedings of IJCAI'89. Pages: 104-109.


HCBFS: Combining Structure-Based and TMS-Based Approaches in.. - Kumar   (Correct)

....of the component behaving in that mode. Diagnosis can now be cast as a combinatorial optimization problem of assigning modes of behavior to each component such that it is not only consistent with Bh , but also maximizes the product of the prior probabilities associated with those modes [de Kleer and Williams, 1989] . Note that the combinatorial optimization formulation of diagnosis assumes independence of the behavior modes of components. Definition (Combinatorial Optimization Characterization) A candidate Lj 42540 0 I k2 4;5;7 86: 2l is a diagnosis if and only if mh i h is ....

de Kleer J. and Williams B. C. Diagnosis with Behavioral Modes. In Proceedings of IJCAI'89. Pages: 104-109.


Hybrid Bayesian Networks for Reasoning about Complex Systems - Lerner (2002)   (9 citations)  (Correct)

....the system, resulting in a discrete model which is often expressed as a set of constraints. A violated constraint indicates a fault, and the task of fault diagnosis is to find the likely explanations to the violated constraint. This is the classical approach used by the AI community (e.g. dKW87, dKW89, CT94, McI98] To make the discussion more concrete, we focus on the Livingstone system [WN96, KN00] which is a fault diagnosis and control system developed at NASA. Livingstone is defined in two slightly different ways in the two references, but for our purposes Livingstone models a system as ....

J. de Kleer and B. C. Williams. Diagnosis with behavioral modes. In Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, 1989.


Object-Oriented Modeling in Model-Based Diagnosis - Lunde (2000)   (Correct)

....a conflict occurs, RODON is able to backtrack the assumptions corresponding to the conflicting values. They can be used to narrow the search space to candidates containing these assumptions. This diagnostic approach is based on the GDE (general diagnostic engine) introduced by de Kleer ( dKW87] [dKW89]) It is characterized by an incremental diagnostic procedure use of behavioral modes for candidate verification a truth maintenance system (TMS) to reuse knowledge in multiple contexts a scalable candidate generator the ability to diagnose multiple faults as well as unspecified ....

J. de Kleer and B. Williams. Diagnosis with behavioral modes. In Proceedings of the IJCAI'89, pages 1324--1330, 1989.


Bayesian Networks for Dependability Analysis: an Application .. - Portinale, Bobbio (1999)   (2 citations)  (Correct)

.... dichotomy can be improved towards the most reasonable approach of dealing with variables having more than two values (multi state variables) This is particularly useful for primary events, since in this way the system component they refer to can be modeled by means of multiple behavioral modes [4]. In fact, components may manifest more than one failure mode (e.g open short) and the failure modes may have a very different effect on the system operation (e.g. fail safe fail danger) Suppose to consider a three state component whose states are identified as working (w) fail open (f o) and ....

J. de Kleer and B.C. Williams. Diagnosis with behavioral modes. In Proc. 11th IJCAI, pages 1324--1330, Detroit, 1989.


Diagnosis of Linear Circuits - Flores (1997)   (Correct)

.... ABSTRACT The qualitative reasoning community has studied and modeled electrical circuits since early 80 s [13, 3, 14, 4, 9] Also, the diagnosis community, has developed several techniques for diagnosis of electrical circuits, of different sorts and under different conditions [2, 12, 1, 5, 6, 10]. The system I am presenting in this paper performs diagnosis and design of linear circuits in sinusoidal steady state. Diagnosis can be seen as the process of measurement interpretation, where the circuit is observed and the observations compared to its working model. If, at any time, we ....

....(a non ideal short circuit) The total impedance ZS1 will decrease and the current I S1 1 Remember all quantities are phasors with interval magnitude and phase angles. All magnitudes are positive, and stands for the angle [0,360] Expected: Observed: Z V= 26,40] L [258,273] I = [4,5] L [348, 3] 6,8] L 270) V= 7.47 L 309.723) I = 3.843 L 323.219) Z= 1.944 L 346.504] SP1 V S2 S1 R1 L R2 C P1 Fault Candidates: Par C Rf) Expected Observed Figure 4: The Monitor Data Structure will increase, making VR increase and VL decrease. Also, L s current s phase angle ....

Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proc. 11th Int. Joint Conf. on Artificial Intelligence (IJCAI89) , pages 1324--1330, 1989.


Conflict-directed A* and Its Role in Model-based Embedded.. - Williams, Ragno   Self-citation (Williams)   (Correct)

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J. de Kleer, B. C. Williams, Diagnosis with behavioral modes, in: Proc IJCAI89, 1989, pp. 1324--1330.


Achieving Real-time Mode Estimation through Offline Compilation - Van Eepoel (2002)   Self-citation (Williams)   (Correct)

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deKleer, J and Williams, B.C., "Diagnosis with Behavioral Modes", Proceedings of International Joint Conference on Artificial Intelligence, pp 1324-1330, 1989.


Conflict-directed A* and Its Role in Model-based Embedded.. - Williams, Ragno (2003)   Self-citation (Williams)   (Correct)

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J. de Kleer, B. C. Williams, Diagnosis with behavioral modes, in: Proc IJCAI89, 1989, pp. 1324--1330.


Achieving Real-time Mode Estimation through Offline Compilation - Van Eepoel (2002)   Self-citation (Williams)   (Correct)

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deKleer, J and Williams, B.C., "Diagnosis with Behavioral Modes", Proceedings of International Joint Conference on Artificial Intelligence, pp 1324-1330, 1989.


Hybrid Diagnosis with Unknown Behavioral Modes - Hofbaur, Williams (2002)   Self-citation (Williams)   (Correct)

....of modes that captures possible situations of the drift fault as this would introduce additional complexity for hybrid estimation by increasing the number of modes unnecessarily. This requirement of hybrid mode estimation is in contrast to discrete model based diagnosis schemes, such as GDE (e.g. [5, 6, 19]) Model based diagnosis deduces the possible mode of the system based on nominal models, and few specified fault models only. The onset of possible fault scenarios are covered by the so called unknown mode which does not impose any constraints on the system s variables. The next section provides ....

J. de Kleer and B. Williams, `Diagnosis with behavioral modes', in Proceedings of IJCAI-89, pp. 1324--1330, (1989).


Electronic "How Things Work" Articles - Franz Amador Deborah   (Correct)

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J. de Kleer and B.C. Williams. Diagnosis with Behavioral Modes. In Proceedings of IJCAI-89, August 1989.


Real-time Fault Detection and Situational Awareness.. - Dearden, Willeke.. (2004)   (4 citations)  (Correct)

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Johann de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI) , pages 1324--1330, 1989.


Particle Filters for Rover Fault Diagnosis - Verma, al. (2004)   (Correct)

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J. de Kleer and B. C. Williams, Diagnosis with behavioral modes, In Proceedings of the 11th International Joint Conference on Artificial Intelligence, 1989


Unknown - Reasoning Without Conflicts (1994)   (Correct)

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J. de Kleer and B. C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, Detroit, Aug. 1989. Morgan Kaufmann Publishers, Inc.


Published in: - Cambridge Ma October (1992)   (Correct)

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Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, Detroit, August 1989. Morgan Kaufmann Publishers, Inc.


Efficient On-line Fault Diagnosis for Non-Linear Systems - Hutter, Dearden (2003)   (Correct)

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Johann de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, 1989.


Studies in Logic, Language and Information - Managing Editor Robin (1996)   (Correct)

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J. de Kleer and B. C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI-89), pages 1324--1330, San Mateo, CA, 1989. Morgan Kaufmann Publishers.


Model-Based Alarm Correlation in Cellular Phone Networks - Fröhlich, Nejdl, Jobmann, .. (1997)   (2 citations)  (Correct)

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J. de Kleer and B. C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence, pages 1324--1330, Detroit, Aug. 1989. Morgan Kaufmann Publishers, Inc.


Real-time Fault Detection and Situational Awareness.. - Dearden, Willeke.. (2004)   (4 citations)  (Correct)

No context found.

Johann de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the 11th International Joint Conference on Artificial Intelligence (IJCAI) , pages 1324--1330, 1989.


DIAMON: A Model-Based Troubleshooter Based on Qualitative.. - Lackinger, Nejdl (1993)   (7 citations)  (Correct)

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Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, Detroit, August 1989. Morgan Kaufmann Publishers, Inc.


Published in: - Aachen Dec Drum (1993)   (Correct)

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Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, Detroit, August 1989. Morgan Kaufmann Publishers, Inc.


The P-Systems: A Systematic Classification of Logics of.. - Nejdl (1992)   (Correct)

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Johan de Kleer and Brian C. Williams. Diagnosis with behavioral modes. In Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI), pages 1324--1330, Detroit, August 1989. Morgan Kaufmann Publishers, Inc. 26


Remote Agent Demonstration - Gregory Dorais Nasa   (Correct)

No context found.

de Kleer, J., and Williams, B. C. Diagnosis With Behavioral Modes. Procs. of IJCAI-89, 1989.

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