Logo image
Back
Coordinated inductive learning using argumentation-based communication
Journal article   Open access   Peer reviewed

Coordinated inductive learning using argumentation-based communication

Santiago Ontanon and Enric Plaza
Autonomous agents and multi-agent systems, v 29(2)
01 Mar 2015
DOI: https://doi.org/10.1007/s10458-014-9256-2
url
https://doi.org/10.1007/s10458-014-9256-2View
Published, Version of Record (VoR)Open Access (License Unspecified),  Open

Abstract

Automation & Control Systems Computer Science Computer Science, Artificial Intelligence Science & Technology Technology
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.

Metrics

9 Record Views
6 citations in Web of Science
9 citations in Scopus

Details

InCites Highlights

Data related to this publication, from InCites Benchmarking & Analytics tool:

Collaboration types
Domestic collaboration
International collaboration
Web of Science research areas
Automation & Control Systems
Computer Science, Artificial Intelligence
Logo image