Conference proceeding
Towards a Logical Model of Induction from Examples and Communication
ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, v 220, pp 259-268
01 Jan 2010
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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2 citations in Scopus
Details
- Title
- Towards a Logical Model of Induction from Examples and Communication
- Creators
- Santiago Ontanon - Artificial Intelligence Research InstitutePilar Dellunde - Artificial Intelligence Research InstituteLluis Godo - Artificial Intelligence Research InstituteEnric Plaza - Artificial Intelligence Research Institute
- Contributors
- R Alquezar (Editor)A Moreno (Editor)J Aguilar (Editor)
- Publication Details
- ARTIFICIAL INTELLIGENCE RESEARCH AND DEVELOPMENT, v 220, pp 259-268
- Series
- Frontiers in Artificial Intelligence and Applications
- Publisher
- Ios Press
- Number of pages
- 10
- Grant note
- TIN2009-13692-C03-01 / Next-CBR 2009-SGR-1433; 2009-SGR-1434 / Generalitat de Catalunya TIN2009-14704-C03-03 / ARINF CSD2007-0022 / Agreement Technologies (CONSOLIDER); Ministry of Science and Innovation, Spain (MICINN); Spanish Government FFI2008-03126-E/FILO / LoMoReVI
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Computer Science (Computing)
- Web of Science ID
- WOS:000321818400026
- Scopus ID
- 2-s2.0-78049269506
- Other Identifier
- 991021869013004721
InCites Highlights
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Computer Science, Artificial Intelligence
- Computer Science, Interdisciplinary Applications