Name
Abstract | ||
|---|---|---|
Intelligent Systems require the ability to reason with incomplete information, because in the real world complete information is hard to obtain, even in the most controlled situation. In recent years, many formalisms have been proposed tacking the matter of uncertain, incomplete in logic programs and databases. However, qualitative models and qualitative reasoning have been around in Artificial Intelligence research for some time, in particular due the growing need to offer support in decision-making processes. The evaluation of knowledge that stems out from logic programs becomes a point of research. The Quality-of- Information concept demonstrated their applicability in many dynamic environments and for decision making purposes. In this paper we present an illustrative example of the inference process in decisions in healthcare environments. Under the Extended Logic Programming paradigm to knowledge representation and reasoning, we present the evolutive perspective of the inference process to achieve logical programs (or theories) corresponding to the best theorems to solve a problem or take a decision. For the evaluation of the best theories we use a quantification of the quality-of-information that stems out from a logic program. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/ICIS.2010.160 | Computer and Information Science |
Keywords | Field | DocType |
best theorem,information concept,complete information,knowledge representation,inference process,healthcare environments,artificial intelligence research,incomplete information,decision-making process,quality evaluation,best theory,logic program,knowledge representation and reasoning,quality of information,health care,qualitative reasoning,artificial intelligent,artificial intelligence,computational modeling,intelligent systems,logic programming,decision making process,cognition | Data science,Knowledge representation and reasoning,Intelligent decision support system,Probabilistic logic network,Computer science,Inference,Artificial intelligence,Logic programming,Machine learning,Complete information,Qualitative reasoning,Information quality | Conference |
ISBN | Citations | PageRank |
978-1-4244-8198-9 | 0 | 0.34 |
References | Authors | |
6 | 5 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jorge Ribeiro | 1 | 48 | 12.98 |
| António Abelha | 2 | 243 | 57.30 |
| Jose Machado | 3 | 8 | 2.43 |
| Alberto Marques | 4 | 1 | 1.08 |
| Jose Neves | 5 | 4 | 0.89 |