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Towards a Logical Model of Induction from Examples and Communication
Santiago Ontañón, Pilar Dellunde, Lluís Godo, Enric Plaza
259 - 268
10.3233/978-1-60750-643-0-259
Frontiers in Artificial Intelligence and Applications
Volume 220: Artificial Intelligence Research and Development
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.

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