Coordinated inductive learning using argumentation-based communication
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| 003 | CHVBK | ||
| 005 | 20210128100706.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150301xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s10458-014-9256-2 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s10458-014-9256-2 | ||
| 245 | 0 | 0 | |a Coordinated inductive learning using argumentation-based communication |h [Elektronische Daten] |c [Santiago Ontañón, Enric Plaza] |
| 520 | 3 | |a This paper focuses on coordinated inductive learning, concerning how agents with inductive learning capabilities can coordinate their learnt hypotheses with other agents. Coordination in this context means that the hypothesis learnt by one agent is consistent with the data known to the other agents. In order to address this problem, we present A-MAIL, an argumentation approach for agents to argue about hypotheses learnt by induction. A-MAIL integrates, in a single framework, the capabilities of learning from experience, communication, hypothesis revision and argumentation. Therefore, the A-MAIL approach is one step further in achieving autonomous agents with learning capabilities which can use, communicate and reason about the knowledge they learn from examples. | |
| 540 | |a The Author(s), 2014 | ||
| 690 | 7 | |a Multiagent systems |2 nationallicence | |
| 690 | 7 | |a Computational argumentation |2 nationallicence | |
| 690 | 7 | |a Inductive learning |2 nationallicence | |
| 690 | 7 | |a Learning from communication |2 nationallicence | |
| 690 | 7 | |a Learning from argumentation |2 nationallicence | |
| 690 | 7 | |a Coordinated inductive learning |2 nationallicence | |
| 700 | 1 | |a Ontañón |D Santiago |u Computer Science Department, Drexel University, 19104, Philadelphia, PA, USA |4 aut | |
| 700 | 1 | |a Plaza |D Enric |u IIIA (Artificial Intelligence Research Institute), CSIC (Spanish Council for Scientific Research), Campus UAB, 08193, Bellaterra, Catalonia, Spain |4 aut | |
| 773 | 0 | |t Autonomous Agents and Multi-Agent Systems |d Springer US; http://www.springer-ny.com |g 29/2(2015-03-01), 266-304 |x 1387-2532 |q 29:2<266 |1 2015 |2 29 |o 10458 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s10458-014-9256-2 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s10458-014-9256-2 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Ontañón |D Santiago |u Computer Science Department, Drexel University, 19104, Philadelphia, PA, USA |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Plaza |D Enric |u IIIA (Artificial Intelligence Research Institute), CSIC (Spanish Council for Scientific Research), Campus UAB, 08193, Bellaterra, Catalonia, Spain |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t Autonomous Agents and Multi-Agent Systems |d Springer US; http://www.springer-ny.com |g 29/2(2015-03-01), 266-304 |x 1387-2532 |q 29:2<266 |1 2015 |2 29 |o 10458 | ||