Name
Abstract | ||
|---|---|---|
Ambient Intelligence is an emerging discipline that requires the integration of expertise from a multitude of scientific fields The role of Artificial Intelligence is crucial not only for bringing intelligence to everyday environments, but also for providing the means for the different disciplines to collaborate In this paper we describe the design of a reasoning framework, applied to an operational Ambient Intelligence infrastructure, that combines rule-based reasoning with reasoning about actions and causality on top of ontology-based context models The emphasis is on identifying the limitations of the rule-based approach and the way action theories can be employed to fill the gaps. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-12842-4_25 | SETN |
Keywords | Field | DocType |
rule-based approach,action theory,operational ambient intelligence infrastructure,ambient intelligence,everyday environment,artificial intelligence,different discipline,ontology-based context model,reasoning framework,rule-based reasoning,artificial intelligent,context model,rule based reasoning,rule based | Data science,Data mining,Computer science,Psychology of reasoning,Model-based reasoning,Artificial intelligence,Reasoning system,Ambient intelligence,Procedural reasoning system,Intelligence cycle (target-centric approach),Opportunistic reasoning,Machine learning,Qualitative reasoning | Conference |
Volume | ISSN | ISBN |
6040 | 0302-9743 | 3-642-12841-6 |
Citations | PageRank | References |
18 | 0.66 | 14 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Theodore Patkos | 1 | 144 | 18.96 |
| Ioannis Chrysakis | 2 | 54 | 6.10 |
| Antonis Bikakis | 3 | 451 | 34.93 |
| Dimitris Plexousakis | 4 | 2586 | 326.38 |
| Grigoris Antoniou | 5 | 2401 | 190.28 |