Name
Abstract | ||
|---|---|---|
Explaining how knowledge-based systems reason involves presentation user modeling, dialogue structure, and the way systems understand their own problem-solving knowledge and strategies. The authors concentrate on the last of these, noting that such understanding provides any explanations's content. The authors also note that most current approaches to knowledge-based system construction require expressing knowledge and control at such low levels that it's hard to give high-level explanations. Providing an explanation example from a prototypical system (MYCIN) built using generic-task methods, they propose generic-task methodology as one way to build knowledge-based systems that contain basic explanation constructs at appropriate abstraction levels. The central concept of generic tasks is what input-output behavior (i.e. that task function), knowledge needed to perform the task, and inferences appropriate for the task are all specified together. |
Year | DOI | Venue |
|---|---|---|
1989 | 10.1109/64.21896 | IEEE Expert |
Keywords | Field | DocType |
expert systems,knowledge based systems,MYCIN,control strategies,dialogue structure,generic-task methods,inferences,input-output behavior,knowledge-based systems,presentation,problem solving,reason,task function,understand,understanding,user modeling | Procedural knowledge,Abstraction,Computer science,Expert system,Knowledge management,Knowledge-based systems,System construction,User modeling,Knowledge base,Mycin | Journal |
Volume | Issue | ISSN |
4 | 1 | 0885-9000 |
Citations | PageRank | References |
49 | 7.99 | 10 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| B. Chandrasekaran | 1 | 2338 | 685.83 |
| Michael C. Tanner | 2 | 331 | 52.98 |
| John R. Josephson | 3 | 1003 | 119.16 |