Agent-Oriented Information Systems II: 6th International - download pdf or read online

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

ISBN-10: 3540259112

ISBN-13: 9783540259114

This publication constitutes the completely refereed post-proceedings of the sixth foreign Bi-Conference Workshop on Agent-Oriented details platforms, AOIS 2004, held in Riga, Latvia in June and in ny, new york, united states in July 2004.

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

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Read Online or Download Agent-Oriented Information Systems II: 6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004 and New York, NY, USA, July 20, PDF

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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,

Sample text

A natural language analysis service, a synonym search service, a search engine and a web server. Specifically, these web services are used to prepare the SMA’s service components. Table 1 shows definition examples of the input/output specifications of the SMA service components. e. a natural language analysis service and a synonym search service. 1 Discussion Evaluation of the Framework This section describes how the framework presented in this paper meets the challenges mentioned in section 3. Meeting challenge 1: This framework can cope with instability on the terminal side by transferring the PA to an appropriate server.

An overview of the implementation is described below. The action definition of Plangent can be used to define rules for inferring the user situation and rules for generating scripts. Figure 4 is a portion of the action info (_,_,_,[goAgentPool(AgentID), webSearch(AgentID, SmartOption,Results), convert(AgentID, Results,’CHTML’,CPages), sendResults(AgentID,CPages,UAgentID)], [],[search(Option)], %% precondition is null, postcondition is search [assert(info(agent, dummy, dummy, searchOption(SmartOption), unknown)] %% agent knowledge ):- place(outdoor),agent(AgentID),masterAgent(UAgentID),outdoorOption(Option,SmartOption).

We are also able to project an integrated coordination problem that includes planning and scheduling processes as explained in [2, 17]. The integrated coordination problem points out that the key of a coordination process is to remove the uncertainty in the involved agent’s task plans in order to get better schedules. The term, integrated, means that planning and scheduling are incorporated together with coordination to form an expanded coordination process, which will be described in a later paragraph when explaining Figure 1.

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Agent-Oriented Information Systems II: 6th International Bi-Conference Workshop, AOIS 2004, Riga, Latvia, June 8, 2004 and New York, NY, USA, July 20, by Paolo Bresciani, Paolo Giorgini, Brian Henderson-Sellers, Graham Low, Michael Winikoff


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