caa a22 4500 605514909 CHVBK 20210128100706.0 cr unu---uuuuu 210128e20150301xx s 000 0 eng 10.1007/s10458-014-9256-2 doi (NATIONALLICENCE)springer-10.1007/s10458-014-9256-2 Coordinated inductive learning using argumentation-based communication [Elektronische Daten] [Santiago Ontañón, Enric Plaza] 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. The Author(s), 2014 Multiagent systems nationallicence Computational argumentation nationallicence Inductive learning nationallicence Learning from communication nationallicence Learning from argumentation nationallicence Coordinated inductive learning nationallicence Ontañón Santiago Computer Science Department, Drexel University, 19104, Philadelphia, PA, USA aut Plaza Enric IIIA (Artificial Intelligence Research Institute), CSIC (Spanish Council for Scientific Research), Campus UAB, 08193, Bellaterra, Catalonia, Spain aut Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/2(2015-03-01), 266-304 1387-2532 29:2<266 2015 29 10458 https://doi.org/10.1007/s10458-014-9256-2 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10458-014-9256-2 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Ontañón Santiago Computer Science Department, Drexel University, 19104, Philadelphia, PA, USA aut NATIONALLICENCE 700 1- Plaza Enric IIIA (Artificial Intelligence Research Institute), CSIC (Spanish Council for Scientific Research), Campus UAB, 08193, Bellaterra, Catalonia, Spain aut NATIONALLICENCE 773 0- Autonomous Agents and Multi-Agent Systems Springer US; http://www.springer-ny.com 29/2(2015-03-01), 266-304 1387-2532 29:2<266 2015 29 10458