Name
Abstract | ||
|---|---|---|
This paper focuses on a logical model of induction, and specifically of the common machine learning task of inductive concept learning (ICL). We define an inductive derivation relation, which characterizes which hypothesis can be induced from sets of examples, and show its properties. Moreover, we will also consider the problem of communicating inductive inferences between two agents, which corresponds to the multi-agent ICL problem. Thanks to the introduced logical model of induction, we will show that this communication can be modeled using computational argumentation. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.3233/978-1-60750-643-0-259 | CCIA |
Keywords | Field | DocType |
common machine,multi-agent icl problem,logical model,computational argumentation,inductive derivation relation,inductive concept learning,inductive inference | Multi-task learning,Computer science,Concept learning,Argumentation theory,Logical data model,Artificial intelligence | Conference |
Volume | ISSN | Citations |
220 | 0922-6389 | 2 |
PageRank | References | Authors |
0.43 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Santiago Ontaòón | 1 | 5 | 1.47 |
| Pilar Dellunde | 2 | 156 | 22.63 |
| Lluís Godo | 3 | 888 | 56.28 |
| Enric Plaza | 4 | 457 | 45.38 |