We argue that diagnosis should not be seen as solving a problem with a unique definition, but rather that there exists a whole space of reasonable notions of diagnosis. These notions can be seen as mutual approximations. We present a number of reasons for choosing among different notions of diagnosis. We also present an exhaustive categorisation of techniques that can be employed to obtain approximations, as well as a number of specific example techniques for each category. We also show that it is possible to characterise the relations between the approximations obtained by these techniques
Model-based diagnosis (MBD) provides several advantages over experiential rule-based systems. A prin...
AbstractProblems in logic are well known to be hard to solve in the worst case. Two different strate...
to be based on the method of hypothesis that was first described by Plato. The logical basis of this...
The AI literature contains many definitions of diagnostic reasoning most of which are defined in ter...
The most widely accepted models of diagnostic reasoning are all phrased in terms of the logical cons...
AbstractVarious formal theories have been proposed in the literature to capture the notions of diagn...
What is good diagnostic practice? The answer is elusive for many medical students and equally puzzl...
This position paper argues that causal explanation in diagnostic tasks are more easily achieved in f...
. Mostly, papers on problem-solving methods focus on the description of reasoning strategies and dis...
. The aim of this paper is to present an approach to the integration of Case-Based Reasoning with Mo...
Several recent books have addressed "How Doctors Think," with emphasis on diagnostic decision making...
Many philosophers appeal to the “fallacy of approximation”, or “problem of second best”. However, de...
Abstract. Approximate reasoning for the Semantic Web is based on the idea of sacrificing soundness o...
Case-based problem solving can be significantly improved by applying domain knowledge (in opposition...
This paper argues that automated knowledge acquisition for diagnosis has had limited success in both...
Model-based diagnosis (MBD) provides several advantages over experiential rule-based systems. A prin...
AbstractProblems in logic are well known to be hard to solve in the worst case. Two different strate...
to be based on the method of hypothesis that was first described by Plato. The logical basis of this...
The AI literature contains many definitions of diagnostic reasoning most of which are defined in ter...
The most widely accepted models of diagnostic reasoning are all phrased in terms of the logical cons...
AbstractVarious formal theories have been proposed in the literature to capture the notions of diagn...
What is good diagnostic practice? The answer is elusive for many medical students and equally puzzl...
This position paper argues that causal explanation in diagnostic tasks are more easily achieved in f...
. Mostly, papers on problem-solving methods focus on the description of reasoning strategies and dis...
. The aim of this paper is to present an approach to the integration of Case-Based Reasoning with Mo...
Several recent books have addressed "How Doctors Think," with emphasis on diagnostic decision making...
Many philosophers appeal to the “fallacy of approximation”, or “problem of second best”. However, de...
Abstract. Approximate reasoning for the Semantic Web is based on the idea of sacrificing soundness o...
Case-based problem solving can be significantly improved by applying domain knowledge (in opposition...
This paper argues that automated knowledge acquisition for diagnosis has had limited success in both...
Model-based diagnosis (MBD) provides several advantages over experiential rule-based systems. A prin...
AbstractProblems in logic are well known to be hard to solve in the worst case. Two different strate...
to be based on the method of hypothesis that was first described by Plato. The logical basis of this...