By Viviane Torres da Silva, Ricardo Choren, Carlos J. P. de Lucena (auth.), Manuel Kolp, Brian Henderson-Sellers, Haralambos Mouratidis, Alessandro Garcia, Aditya K. Ghose, Paolo Bresciani (eds.)
This is the 8th 12 months that the Agent-Oriented info structures (AOIS) workshops were held. Papers submitted to AOIS express a rise in caliber and adulthood as agent know-how is being more and more noticeable as a doable replacement for software program and structures improvement. In AOIS, we concentrate on the appliance of agent know-how in info platforms improvement and discover the potential of facilitating the elevated utilization of agent know-how within the construction of data structures within the widest experience. This year’s workshops have been held along side significant, overseas computing study meetings: the 1st, in may perhaps 2006, was once affiliated with the AAMAS convention in Hakadote, Japan and chaired by way of Garcia, Ghose and Kolp. the second one used to be held together with the overseas CAiSE convention held in Luxembourg (June 2006) and chaired by way of Bresciani, Henderson-Sellers and Mouratidis. (Details of all previous workshops are to be stumbled on at http:// www. aois. org. ) the simplest papers from either those conferences have been pointed out and authors invited to revise and expand their papers in mild of the reviewers’ reviews and suggestions on the workshop. Following submission to this compendium quantity, one other around of experiences used to be undertaken leading to what you could learn the following. those re-reviews have been undertaken through 3 individuals of the Programme Committee – we want to thank either the authors for project the required revisions and the reviewers for this additional name on their helpful time.
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For instance, suppose that a supplier deals with a customer and the interaction between them is regulated by a norm describing the obligation to pay when a deal is done. The interaction norm in the DynaCROM ontology is represented by a new obligation concept, called for example “ObligationToPay”, linking the supplier and customer Role sub-concepts. 3 Composing Contextual Norms After manually classifying and organizing user defined norms, according to a topdown modelling, and explicitly representing these norms into an ontology instance, DynaCROM uses rules to automatically compose contextual norms.
Next-generation wireless communications concepts and technologies. In the IEEE Communications Magazine 40, 108–116 (2002) 3. : C-OWL: Contextualizing Ontologies. , Mylopoulos, J. ) ISWC 2003. LNCS, vol. 2870, pp. 164–179. Springer, Heidelberg (2003) 4. br/ 5. : Deliberative Normative Agents: Principles and Architecture. In: Procs. of the ATAL 1999 (1999) 6. : Prevention of harmful behaviors within cognitive and autonomous agents. In: Procs. of the ECAI 2006, pp. 205–209 (2006) 7. : Understanding and using context.
2. The DynaCROM ontology The DynaCROM ontology defines six related concepts (see Fig. 2), all at the same hierarchical level, for representing its environment, organization and role regulatory contexts. The Action concept encompasses all instances of regulated actions. The Penalty concept encompasses all instances of fines to be applied when norms are not fulfilled. The Norm concept encompasses all instances of norms from all regulatory contexts. The Environment concept encompasses all instances of regulated environments; and each environment encompasses its associated norms and its owner environment (the environment it belongs to).