Mining association rules between sets of items in large databases
SIGMOD '93 Proceedings of the 1993 ACM SIGMOD international conference on Management of data
Games That Agents Play: A Formal Framework for Dialogues between Autonomous Agents
Journal of Logic, Language and Information
Teaching case-based argumentation through a model and examples
Teaching case-based argumentation through a model and examples
Tree Structures for Mining Association Rules
Data Mining and Knowledge Discovery
Perceptrons: An Introduction to Computational Geometry
Perceptrons: An Introduction to Computational Geometry
Formal systems for persuasion dialogue
The Knowledge Engineering Review
AGATHA: using heuristic search to automate the construction of case law theories
Artificial Intelligence and Law - Argumentation in artificial intelligence and law
Coherence and Flexibility in Dialogue Games for Argumentation
Journal of Logic and Computation
A formal general setting for dialogue protocols
AIMSA'06 Proceedings of the 12th international conference on Artificial Intelligence: methodology, Systems, and Applications
Argument Based Moderation of Benefit Assessment
Proceedings of the 2008 conference on Legal Knowledge and Information Systems: JURIX 2008: The Twenty-First Annual Conference
Arguing from Experience to Classifying Noisy Data
DaWaK '09 Proceedings of the 11th International Conference on Data Warehousing and Knowledge Discovery
Proceedings of the 2010 conference on Computational Models of Argument: Proceedings of COMMA 2010
Multi-agent based classification using argumentation from experience
PAKDD'11 Proceedings of the 15th Pacific-Asia conference on Advances in knowledge discovery and data mining - Volume Part II
Multi-party Dialogue Games for Distributed Argumentation System
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 02
Multi-party argument from experience
ArgMAS'09 Proceedings of the 6th international conference on Argumentation in Multi-Agent Systems
PISA: A framework for multiagent classification using argumentation
Data & Knowledge Engineering
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In this paper we describe PADUA, a protocol designed to enable agents to debate an issue drawing arguments not from a knowledge base of facts, rules and priorities but directly from a dataset of records of instances in the domain. This is particularly suited to applications which have large, possibly noisy, datasets, for which knowledge engineering would be difficult. Direct use of data requires a different style of argument, which has many affinities to case based reasoning. Following motivation and a discussion of the requirement of this form of reasoning, we present the protocol and illustrate its use with a case study. We conclude with a discussion of some significant issues highlighted by our approach.