By Longbing Cao
This booklet constitutes the completely refereed and revised chosen papers from the ninth overseas Workshop on brokers and information Mining interplay, ADMI 2013, held in Saint Paul, MN, united states in may possibly 2013. the ten papers provided during this quantity have been conscientiously chosen for inclusion within the publication and are equipped in topical sections named agent mining and knowledge mining.
Read or Download Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers PDF
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Extra resources for Agents and Data Mining Interaction: 9th International Workshop, ADMI 2013, Saint Paul, MN, USA, May 6-7, 2013, Revised Selected Papers
24(3), 64–72 (2009) 5. : A brief introduction to agent mining. Auton. Agents Multi-Agent Syst. 25, 419–424 (2012) 6. : Open issues for normative multi-agent systems. AI Commun. 24(3), 233–264 (2011) 7. : WordNet: An Electronic Lexical Database. Bradford Books, Cambridge (1998) 8. : The road ahead for mining software repositories. In: The 24th IEEE International Conference on Software Maintenance, Frontiers of Software Maintenance, pp. 48–57, October 2008 9. : Cloning considered harmful considered harmful.
2 Background Norms are expectations of behaviour in an agent society. Researchers in normative multi-agent systems (NorMAS) study how norms can play a role in the design and the operationalization of socio-technical systems. Research in normative multi-agent systems can be categorized into two branches. R. K. Dam focuses on normative system architectures, norm representations, norm adherence and the associated punitive or incentive measures. The second branch is concerned with the emergence of norms.
However, in a distributed approach to sanctioning, there could be several types of penalties. For example, a ticket could be issued for breaking a norm. There could be email exchanges between individuals discussing the importance of honouring conventions. Also, there might be invisible penalties for the violator such as the decrease of reputation and trust. Based on the discussions generated on a particular norm, there may be re-evaluations leading to the adjustment of norms (change of norms). Thus, the process enables a feedback loop to the norm formation phase.