By Aizhong Lin, Igor Hawryszkiewycz, Brian Henderson-Sellers (auth.), Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff (eds.)
Information structures became the spine of all types of agencies - day. In nearly each zone – production, schooling, wellbeing and fitness care, executive and companies huge and small – details platforms are relied upon for - eryday paintings, verbal exchange, info amassing 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 companies are reinventing themselves to satisfy the demanding situations of world pageant and e-commerce, there's expanding strain to strengthen and installation new applied sciences which are ?exible, strong and aware of quick and unforeseen switch. Agent innovations carry nice promise for responding to the recent realities of - formation platforms. They o?er higher-level abstractions and mechanisms which handle matters resembling wisdom illustration and reasoning, conversation, coordination, cooperation between heterogeneous and self reliant events, p- ception, commitments, ambitions, ideals, intentions, etc., all of which desire conc- tual modelling. at the one hand, the concrete implementation of those suggestions may end up in complex functionalities, e.g., in inference-based question answering, transaction regulate, adaptive paintings ?ows, brokering and integration of disparate info resources, and automatic communique tactics. however, their wealthy representational functions let for extra devoted and ?- ible remedies of complicated organizational methods, 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
Bergenti and A. 436–446 (2002) 14. M. Laukkanen, S. Tarkoma and J. 447–460 (2002) 15. M. Laukkanen, H. Helin, H and Laamanen, “Supporting Nomadic Agent based Applications in the FIPA Agent Architecture”, Proc. 1348–1355 (2002) 16. J. Lawrence, “LEAP into Ad-Hoc Networks”, Workshop on Ubiquitous Agents held in AAMAS’02 (2002) 17. G. Caire, N. Lhuillier and N. Lhuillier, “A communication protocol for agents on handheld devices ”, Workshop on Ubiquitous Agents held in AAMAS’02 (2002) 18. S. A. Mcllraith, “Simulation, veriﬁcation and automated composition of web services”, Proc.
Although the most important goal of an entire EMS process is to save victims’ lives, different response agencies prefer their respective interests under this big goal. , patrolling, clearing roads/trafﬁc or responding to police calls) instead of accompanying the victims all the time, and hospitals have to care about the availability of open beds. Notably, an EMS system is a perfect domain that well ﬁts computational organization theory . The different response organizations by nature share the characteristics of heterogeneity, goal-orientation, adaptiveness etc.
This paper also brieﬂy discusses the extension for the management of emergency incidents to larger scale disasters. 1 Introduction Our recent work has been involved with the reconceptualization and formalization of the Generalized Partial Global Planning (GPGP) approach  to coordination for intelligent agents. This approach is focused on the recognition of well-deﬁned coordination relationships (interdependencies) and the application of coordination mechanisms chosen from a large enumerated space of potential mechanisms.