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Extra 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
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. Concluding remarks are presented in section 6. 2 Background Due to multi-disciplinary interest in norms, several definitions for norms exist .
Pech and P. Goehner elements including the user behavior through software agents. The basic idea of the agent-oriented approach for information retrieval is to represent search requests and data sources as well as the needed partial steps for solution composition by software agents. An idea is that the desired functionality of each system element is regarded as role. The role is derived from the task, a system element has to fulfill, in the overall structure of the system. g. up to 30 years) and the information gathering tasks are not directly involved in the technical process, they just provide additional functionalities.
2 Event Storage Components Let us assume that an agent is situated in an auction house where multiple auctions take place at the same time (the electronic market scenario ). Let us also assume that a new agent is not aware of the norms of the auction house. In this architecture an agent would first observe the interactions that occur between the agents in the society. The interactions could be of two types. The first type of interaction is the one in which the 4 Prohibition norms may be identified by inferring the relevant events that happened in the past.