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By Aizhong Lin, Igor Hawryszkiewycz, Brian Henderson-Sellers (auth.), Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff (eds.)

Information platforms became the spine of every kind of businesses - day. In nearly each region – production, schooling, wellbeing and fitness care, govt and companies huge and small – details structures are relied upon for - eryday paintings, conversation, info collecting and decision-making. but, the in?exibilities in present applied sciences and strategies have additionally ended in terrible functionality, incompatibilities and stumbling blocks to alter. As many firms are reinventing themselves to satisfy the demanding situations of worldwide pageant and e-commerce, there's expanding strain to increase and installation new applied sciences which are ?exible, strong and aware of speedy and unforeseen swap. Agent techniques carry nice promise for responding to the recent realities of - formation structures. They o?er higher-level abstractions and mechanisms which deal with matters corresponding to wisdom illustration and reasoning, communique, coordination, cooperation between heterogeneous and self sustaining events, p- ception, commitments, pursuits, ideals, intentions, etc., all of which desire conc- tual modelling. at the one hand, the concrete implementation of those innovations may end up in complicated functionalities, e.g., in inference-based question answering, transaction keep watch over, adaptive paintings ?ows, brokering and integration of disparate details assets, and automatic communique procedures. nevertheless, their wealthy representational services enable for extra trustworthy and ?- ible remedies of complicated organizational strategies, resulting in extra e?ective requisites research and architectural/detailed design.

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Additional info for Agent-Oriented Information Systems II: 6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004, and New York, NY, USA, July 20, 2004, Revised Selected Papers

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The significance of our extended set of GPGP coordination mechanisms is examined under various environmental settings in this application domain. This paper models the coordination among three organizations during emergency responses to a set of small scale, concurrent incidents, like ambulance calls, police calls and mixed calls with potential needs of transporting the emergency victims to appropriate medical facilities. An EMS agent framework is implemented, an integrated coordination algorithm is introduced, early experimental results are presented and finally appropriate decisions are suggested for the response organizations.

AOIS 2004, LNAI 3508, pp. 36–51, 2005. c Springer-Verlag Berlin Heidelberg 2005 The Analysis of Coordination in an Information System Application 37 candidate approach; however, this kind of top-down simulation is very complicated and it is sometimes impossible to evaluate the research results unless one is faced with real disasters. In this paper, we will focus at a lower level of granularity, where an EMS system is a basic unit under the “big picture”. The extension from EMS to disasters will be briefly discussed in Section 6.

Corresponding to 4 in Figure 3) 6. The SMA coordinates web services to perform the service and return the result back to the PA. (Corresponding to 5 in Figure 3) 7. The PA sends the result from the SMA to the UIA specified by the user. (Corresponding to 6 in Figure 3) 8. The UIA presents the result to the user in the manner suitable for the situation of the user and the terminal. By communicating with each other, these three kinds of agents can flexibly cope with changes in the user environment.

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