The way experts manage uncertainty usually changes depending on the task they are performing. This fact has lead us to consider the problem of communicating modules (task implementations) in a large and structured knowledge based system when modules have different uncertainty calculi. In this paper, the analysis of the communication problem is made assuming that (i) each uncertainty calculus is...

Knowledge-based systems are widely used in health care and more recently in rehabilitation. The most complex and demanding task performed by physical therapists is the rehabilitation of cerebrovascular accident (CVA) or stroke patients. The repercussions of stroke are very subjective, and it can be very complex and demanding to assess and treat post-stroke patients. This research developed a pr...

Hearsay-Ill provides a framework for constructing knowledge-based expert systems. While HearsayIll makes no commitment to any particular application domain, it does supply a variety of generally applicable facilities. These include representation primitives and an interpreter for large-grained, flexibly schedulable production rules called knowledge sources. A detailed overview of the motivation...

Complex design problems often cannot be solved by individuals or by homogenous groups. Communities of interest (CoIs) (defined by their collective concern with the resolution of a problem) bring together stakeholders from different communities of practice (CoP). Reaching a common understanding between these stakeholders is a major challenge due to the “symmetry of ignorance” caused by their res...

Case-Based Reasoning has been studied as a methodology to support ratings-based collaborative recommendation, but this predominantly targets the context of an individual end-user. There are, however, many circumstances where several people participating together in a group activity could benefit from recommendations tailored to the group as a whole. Group recommendation has received comparative...

Although the elaboration of the case representation is the key problem of the case-based reasoning system conception, there exists no proven methodology targeted to this task. This paper is a contribution to fill this gap in the maintenance domain, more precisely in the equipments diagnostic and repair help. A methodology to elaborate the case representation is proposed based on knowledge manag...

There are many examples of knowledge-based fault diagnosis advisors for corrective maintenance of complex equipment. However, such advisors are only part of an overall maintenance solution. To be used effectively, diagnostic advisors must be integrated with other existing and forthcoming systems, such as Automated Test Equipment and maintenance databases. Successful fielding of knowledge-based ...

This paper addresses the problem of knowledge templates update in product development. A framework is developed to support template instances update process by providing a decision support system and an update strategy. An Issue-Based Information system is designed to allow the collaboration among various experts in order to solve template related problems. An ontology is used to represent and ...

We present a methodology for building validation models the knowledge structure used during the retrieval phase of our case based reasoning systems This methodology allows a knowledge engineer to start with a textual database of previously solved cases and quickly produce an e ective case based reasoning system Using our methodology we have built two such systems one of these systems operates o...