By James Odell (auth.), Klaus Fischer, Jörg P. Müller, Renato Levy (eds.)
The ATOP (Agent-Based applied sciences and functions for firm Interoperability) workshop sequence specializes in applied sciences that aid interoperability in networked companies, on winning purposes of those applied sciences, and on classes realized. particularly, ATOP brings jointly examine combining rules from MDA and SOA with agent applied sciences. The ATOP 2009 and 2010 workshops have been held on the AAMAS meetings in Budapest, Hungary, in may perhaps 2009, and in Toronto, Canada, in may possibly 2010. The eleven papers awarded right here have been conscientiously reviewed through 3 contributors of the overseas software Committee and chosen out of 25 contributions to the workshops. the themes coated are modeling interoperable structures; semantic methods to company interoperability; and interoperable enterprise methods and company interactions. those papers are accomplished by means of an invited contribution reporting on OMG agent standardization. the most aim used to be to gather methods for the applying of agent applied sciences in those parts. present traits within the improvement of agent applied sciences are in comparison with contemporary advancements in service-oriented and model-driven approach layout, with admire to their skill to unravel interoperability problems.
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Additional resources for Agent-Based Technologies and Applications for Enterprise Interoperability: International Workshops ATOP 2009, Budapest, Hungary, May 12, 2009, and ATOP 2010, Toronto, ON, Canada, May 10, 2010, Revised Selected Papers
Scarcity of the critical assets and importance of the missions create an incentive for the organizations to cooperate by sharing their assets with an expectation of carrying out their missions successfully even if the assets in hand are limited. In this paper, we propose a multiagent framework where mission plans are semantically described so that a hierarchical multiagent system can be used to represent each mission. Using the semantic description of the mission plans, the agents reason about resources required for their missions and cooperatively decide on the assets that should be shared to carry out those missions.
The best deployable conﬁguration for the ﬁrst task contains Global Hawk as a platform and the best deployable conﬁguration for the second task contains Black Hawk as its platform.
In the model, a composed protocol was created out of two protocols. The code generating tool takes this composed protocol and produces a Jadex agent implementation, in the form of a capability, for each of the roles involved. The result of letting the agents perform the protocol are illustrated by Figure 5. The composed protocol can be performed in two possible ways: the Provider either delivers or cancels the order. (a) Provider delivers (b) Provider cancels Fig. 5. Jadex run diagrams of Order-CashPayment protocol This brief example shows, not only that agents are generated to conform to the protocols, but also that protocol composition was successfully carried out: In (a), one can see what happens when the provider agent “Provider@P1” replies with a deliver message: the protocol comes to the State Description marked as E1 in MDA Approach for Excecuting Modular Protocols Using BDI-Agents 29 Figure 2 and as shown in Figure 3 this is where a binding with the the cashPayment protocol is deﬁned.