Name
Abstract | ||
|---|---|---|
This paper presents a method to model biological systems decision. This method allows to reason about incomplete, revisable and uncertain information: an operator has partial information about his environment only and must revise his decisions. Our method uses a nonmonotonic logic: the rules of behavior are formalized with default logic, to which we added a consideration of time. Our method uses preferences to manage choice between different rules, with simple probabilistic techniques. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/WAINA.2011.143 | AINA Workshops |
Keywords | Field | DocType |
biological systems decision,simple probabilistic technique,partial information,different rule,uncertain information,operator decision,nonmonotonic logic,biological systems,default logic,probabilistic logic,biology,system biology,cognition,mathematical model,calculus | Default logic,Computer science,Operator (computer programming),Non-monotonic logic,Artificial intelligence,Probabilistic logic,Uncertainty handling | Conference |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Pierre Siegel | 1 | 97 | 21.00 |
| Doncescu, A. | 2 | 86 | 25.70 |