Download Agent-Oriented Information Systems II: 6th International by Aizhong Lin, Igor Hawryszkiewycz, Brian Henderson-Sellers PDF
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 firms - day. In virtually each zone – production, schooling, well-being care, govt and companies huge and small – details structures are relied upon for - eryday paintings, communique, info collecting and decision-making. but, the in?exibilities in present applied sciences and techniques have additionally led to negative functionality, incompatibilities and stumbling blocks to alter. As many businesses are reinventing themselves to satisfy the demanding situations of world festival and e-commerce, there's expanding strain to increase and set up new applied sciences which are ?exible, powerful and aware of quick and unforeseen switch. Agent strategies carry nice promise for responding to the hot realities of - formation structures. They o?er higher-level abstractions and mechanisms which handle concerns akin to wisdom illustration and reasoning, verbal exchange, coordination, cooperation between heterogeneous and independent 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 complex functionalities, e.g., in inference-based question answering, transaction regulate, adaptive paintings ?ows, brokering and integration of disparate details assets, and automatic verbal exchange methods. nonetheless, their wealthy representational features permit for extra trustworthy and ?- ible remedies of complicated organizational methods, resulting in extra e?ective necessities research and architectural/detailed design.
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Extra 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
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. In response to a query, the example is implemented in such a way that the PA returns messages such as “inform” or “refuse”. However, a scheme, such as content language, for this purpose is not deﬁned, which increases the programmer’s burden if complex information needs to be exchanged.
For example, after searches have ﬁnished, the system needs to respond to further ﬁltering requests or changes in search conditions. Therefore, we cannot use only notiﬁcation mechanisms, such as e-mail, but also need communication mechanisms with the user’s terminal and the system. 3 Challenges Pertaining to UIS This section analyses the problems arising when a conventional method is used to develop a distributed system that meets UIS, and clariﬁes the challenges that should be overcome by the framework to resolve such problems.
For the purpose of achieving these functions, the UIA contains a logic language processing system (hereafter referred to as “inference engine”). In order to cope with various situations, the system designer describes behaviour of the agent corresponding to such situations by using logic language rules (hereafter referred to as “reasoning rules”). This inference engine is capable of outputting a script and the UIA can execute this script. Using this capability, it inspects the current situation and the user’s request as a goal, carries out inference and can output a script as a sequence of actions to achieve the goal.