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 every kind of organisations - day. In nearly each area – production, schooling, health and wellbeing care, executive and companies huge and small – details structures are relied upon for - eryday paintings, communique, info amassing and decision-making. but, the in?exibilities in present applied sciences and techniques have additionally ended in bad functionality, incompatibilities and hindrances to alter. As many agencies are reinventing themselves to fulfill the demanding situations of world festival and e-commerce, there's expanding strain to enhance and installation new applied sciences which are ?exible, powerful and aware of swift and unforeseen swap. Agent suggestions carry nice promise for responding to the hot realities of - formation structures. They o?er higher-level abstractions and mechanisms which deal with matters similar to wisdom illustration and reasoning, verbal exchange, coordination, cooperation between heterogeneous and self reliant events, p- ception, commitments, objectives, ideals, intentions, etc., all of which want 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 keep watch over, adaptive paintings ?ows, brokering and integration of disparate details resources, and automatic conversation procedures. nevertheless, their wealthy representational services permit for extra devoted and ?- ible remedies of advanced organizational approaches, resulting in extra e?ective standards 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
The PA then executes the given request. The script includes an abstract service request to realize user requests. 4. For this purpose, the script is equipped with functions to search for necessary services and obtain their addresses. The actual search for services and the generation of the agent (SMA) that executes the service is performed by the agent pool. The PA searches for necessary services and asks the SMA thus found to perform the service by sending a request message in the ACL. For this purpose, the script is equipped with commands for communicating with any agent using the ACL.
When the user requests a search in the natural language form, a natural language analysis service is used to extract keywords from this natural language expression and then a synonym search is done to ﬁnd related keywords. The search engine is used to ﬁnd pages related to these keywords and the links from this page are followed with ﬁltering to acquire those that meet the conditions. Finally, the HTML converter is used Mobeet: A Multi-agent Framework for Ubiquitous Information Systems 21 to convert the acquired contents to an appropriate format for a user’s terminal and search options, and they are put together, compressed and then returned to the terminal.
2. This coping action includes altering the request as well as altering parameters such as search options. For example, when the user comes back to the oﬃce, changes are made so the user can view the search results at the terminal in the oﬃce. Such changes in the request are managed by using the PA’s re-planning function as described below. That is, the new request is sent by means of the ACL to the already executing PA; upon receipt of this, the PA activates the inference engine, using this request as a new goal (re-planning).