Name
Abstract | ||
|---|---|---|
A method to acquire the taste information from the dialogue using knowledge structure has been proposed. However, this method cannot consider the certainty of the event should be encouraged or enfeebled gradually. In this paper, we propose a method to construct knowledge structure, which depicts the relationship among the events dynamically with the certainty degree of the event. Although the method needs the reasoning rules, evidence rules, and the functions for calculating the certainty degree of the event. We also constructed the databases under some situations. To verify this method, we apply it into a scenario and confirm the transition of the character's knowledge structure. |
Year | DOI | Venue |
|---|---|---|
2003 | 10.1007/978-3-540-45226-3_62 | LECTURE NOTES IN ARTIFICIAL INTELLIGENCE |
Field | DocType | Volume |
Data science,Certainty,Personal knowledge management,Computer science,Certainty factor,Knowledge management,Knowledge structure | Conference | 2774 |
ISSN | Citations | PageRank |
0302-9743 | 0 | 0.34 |
References | Authors | |
1 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kazuya Mera | 1 | 10 | 6.46 |
| Takumi Ichimura | 2 | 120 | 35.31 |