Agent-Oriented Information Systems II: 6th International by Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers,

By Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff

This e-book constitutes the completely refereed post-proceedings of the sixth overseas Bi-Conference Workshop on Agent-Oriented details structures, AOIS 2004, held in Riga, Latvia in June and in big apple, manhattan, united states in July 2004.

The 15 revised complete papers offered have undergone rounds of reviewing and development and have been chosen from an preliminary overall of 36 submissions. The papers are equipped in topical sections on details platforms, research and modeling, methodologies, and applications.

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Extra 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,

Sample text

The Three-tier Model [1, 2] is a software structuring method that separates the logic portion that implements the software functions from the client portion for the purpose of overcoming various problems arising in the C/S system. e. the client layer, the domain layer and the database layer (Figure 1 (a)). The client layer is a program that directly receives instructions from the user, and the domain layer is a program that processes and manages applications and transactions. This layer also executes the processing requested by the user and mediates between the user and the data to be processed.

Edu Abstract. There is an inevitable need for collaboration and coordination among response organizations during the occurrences of emergencies. We attack the coordination problem by analyzing intelligent agents’ organizational behaviours and exploring a set of coordination mechanisms. This paper studies the application of our coordination research to a small-scale Emergency Medical Services (EMS) information system with response agencies modeled as organizations of autonomous agents. Due to the excessive amount of information and the dynamic change in the environment, the information decision process has become the backbone of EMS.

Honiden change is generated to cope with the change. 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).

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