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 every kind of corporations - day. In nearly each region – production, schooling, well-being care, govt and companies huge and small – details platforms are relied upon for - eryday paintings, verbal exchange, details accumulating and decision-making. but, the in?exibilities in present applied sciences and techniques have additionally ended in terrible functionality, incompatibilities and stumbling blocks to alter. As many enterprises are reinventing themselves to satisfy the demanding situations of world pageant and e-commerce, there's expanding strain to enhance and installation new applied sciences which are ?exible, powerful and attentive to quick and unforeseen swap. Agent innovations carry nice promise for responding to the hot realities of - formation structures. They o?er higher-level abstractions and mechanisms which tackle matters reminiscent of wisdom illustration and reasoning, verbal exchange, coordination, cooperation between heterogeneous and self sustaining events, p- ception, commitments, pursuits, ideals, intentions, etc., all of which want conc- tual modelling. at the one hand, the concrete implementation of those ideas may end up in complex functionalities, e.g., in inference-based question answering, transaction keep an eye on, adaptive paintings ?ows, brokering and integration of disparate info resources, and automatic conversation techniques. nonetheless, their wealthy representational features enable for extra trustworthy and ?- ible remedies of advanced organizational procedures, resulting in extra e?ective specifications research and architectural/detailed design.
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Additional resources 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
For such reasoning rules, the event driven logic language is adopted to allow inference responsive to the situations. Also, the ACL is made available for sending/receiving messages for smooth cooperation between the agents. Furthermore, re-planning is introduced to the PA as a mechanism to alter its behaviour in response to changes. When re-planning involves the necessity to cancel existing processing, scripts have to be carefully custom-made. For example, when there is an interdependent relationship between a series of PA requests, such as in transaction processing, it is diﬃcult to deﬁne the precise scripts.
Yoshioka, A. Ohsuga, and S. Honiden Meeting challenge 6: This framework supports the use of the UIA’s inference engine to infer the user situation and supports ﬂexible exchanges of user information by means of the ACL. Because of these, the system can be designed in such a way that user information is treated appropriately. When user information is needed to use a service, an information query message from the SMA to the PA can be used. Although this is not used in the example, for nonessential information, the message “user information will be requested if you need to know this information” can be expressed by using a query-if message.
There can be multiple combinations of services for the same request; this can be handled by SMA’s service component selection mechanism by means of automatically calling diﬀerent service components having the same input type. The addition of a new service can be handled by simply registering its components without altering existing components. Meeting challenge 3: This framework contains an inference engine in the UIA as a mechanism for automating various processes according to the situation. Also, predicates for checking the terminal environment are made available for evaluating the situation.
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