Agents and Data Mining Interaction: 6th International by Sandip Sen (auth.), Longbing Cao, Ana L. C. Bazzan, Vladimir

By Sandip Sen (auth.), Longbing Cao, Ana L. C. Bazzan, Vladimir Gorodetsky, Pericles A. Mitkas, Gerhard Weiss, Philip S. Yu (eds.)

This publication constitutes the refereed lawsuits of the sixth overseas Workshop on brokers and information Mining interplay, ADMI 2010, held in Toronto, Canada, in may possibly 2010. The 15 revised complete papers offered have been rigorously reviewed and chosen from 37 submissions. The papers are geared up in topical sections on brokers for info mining; facts mining for brokers; facts mining in brokers; and agent mining purposes.

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Additional resources for Agents and Data Mining Interaction: 6th International Workshop on Agents and Data Mining Interaction, ADMI 2010, Toronto, ON, Canada, May 11, 2010, Revised Selected Papers

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Using an auction example, we demonstrate how an agent makes use of the norm identification framework. The paper is organized as follows. Section 2 provides a background on normative multi-agent systems (NorMAS). Section 3 provides an overview of the norm identification framework. Section 4 describes the components of the framework in the context of an e-market scenario (buying and selling goods). Section 5 provides a discussion on the work that has been achieved and the issues that need to be addressed in the future.

This sub-section is organized as follows. Firstly we explain the parameters of the ONI algorithm. Secondly we describe the internal details of ONI algorithm using the auction example. 1 Definitions of Parameters Used in the Algorithm The parameters that are used in the Obligation Norm Inference algorithm are explained below. History Length (HL): An agent keeps a history of the observed interactions for certain window of time. This period of time is represented by the History length (HL) parameter.

In most cases, ontologybased information integration approaches are applied for the explicit description of the semantics of data sources. g. the description of terms used in a manufacturing process. They are also used to represent the syntax and the content of messages exchanged among agents. In our approach, ontology is regarded as a set of classes, entities, properties and relationships, describing a standardised terminology [9]. 4 An Agent Based Approach for Information Retrieval in Industrial Automation Systems The aim of this section is to describe the challenges of information retrieval in industrial automation systems and to develop a suitable agent oriented architecture.

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