By Klaus Fischer, Stefan Warwas (auth.), Jörg P. Müller, Massimo Cossentino (eds.)
This e-book constitutes the completely refereed post-proceedings of the thirteenth Agent-Oriented software program Engineering (AOSE) workshop, held on the eleventh foreign convention on self sufficient brokers and Multiagent platforms, AAMAS 2012, in Valencia, Spain, in June 2012. This quantity offers nine completely revised papers chosen from 24 submissions in addition to invited articles by way of prime researchers within the box. The papers conceal a huge variety of themes on the topic of software program engineering of agent-based platforms, with specific recognition to the combination of recommendations and strategies from multi-agent structures with fresh programming languages, structures, and demonstrated software program engineering methodologies.
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Extra resources for Agent-Oriented Software Engineering XIII: 13th International Workshop, AOSE 2012, Valencia, Spain, June 4, 2012, Revised Selected Papers
According to ASPECS, an Organization can be an aggregate of other sub-organizations. Each organization is composed of Roles which specify the Capacities that should be owned by an agent to play them. Interactions between Roles deﬁne Scenarios where each Role contributes to the achievement of organizational objectives (Requirements). Unlike ASPECS, we highlight that an Organization is plunged 26 P. Ribino et al. Fig. 1. g. g. social laws) imposed on organizations and their members in order to fulﬁll their goals.
Therefore, it becomes possible to specify trade-oﬀ strategies without any programming knowledge. Keywords: automated negotiation, trade-oﬀ strategies, MDD. 1 Introduction Negotiation is an important part of today’s business processes on an inter-enterprise level. Agent research oﬀers a variety of approaches and tools to automate negotiations. To enable agents to act on behalf of humans, several challenges have to be dealt with. From our perspective we see a particular challenge in the fact, that the human principal of an agent retains responsibility for the outcome of an automated negotiation.
The functional view of Truck Unloading simulation group represented by means of a goal/mission decomposition tree norm 1: type=Obligation role=unloader mission=AgvMission norm 2: type=Permission role=forwarder mission=ForwarderMission norm 3: type=Permission role=representative mission=ManagementMission norm 4: type=Permission role=representative mission=RecruitmentMission Finally, we have introduced some adaptive norms that allow us to regulate the dynamic evolution of the Yard Management System.