Name
Abstract | ||
|---|---|---|
A simulation based training application is described that uses a dedicated machine expert for generating explanations. The expert considers the problems the user is having with specific tasks, and by examining a normative model of problem solving, it determines an appropriate response, which involves generating many kinds of knowledge from a space of domain models. By using multiple domain models, the training system extends current approaches to simulation based training and machine generated explanations to produce a flexible learning environment for experienced plant operators and new trainees. |
Year | DOI | Venue |
|---|---|---|
1998 | 10.1007/3-540-68716-5_7 | Intelligent Tutoring Systems |
Keywords | Field | DocType |
flexible learning environment,appropriate response,dedicated machine expert,model-based explanations,new trainee,domain model,multiple domain model,training system,training application,simulation-based training,experienced plant operator,current approach | Subject-matter expert,Computer science,Training system,Normative model of decision-making,Operator (computer programming),Artificial intelligence,Learning environment,Systems architecture,Machine learning,Domain model,Knowledge acquisition | Conference |
Volume | ISSN | ISBN |
1452 | 0302-9743 | 3-540-64770-8 |
Citations | PageRank | References |
1 | 0.43 | 5 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Tariq M. Khan | 1 | 18 | 3.58 |
| Stephen J. Paul | 2 | 1 | 0.43 |
| Keith E. Brown | 3 | 28 | 4.90 |
| Roy Leitch | 4 | 41 | 7.41 |