by
Adam M. Gadomski
,
Sandro Bologna
,
Ro Bologna
,
Giovanni Di Costanzo
,
Anna Perini
,
Marco Schaerf
,
Allan Newell
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Abstract:
The paper presents a next ENEA's step towards development Intelligent Decision Support Systems (IDSS). The prototype IDA (Intelligent Decision Advisor) for emergency management in an oil port is analyzed as a test-case. The work was performed in frame of the national R&D MICA project under the umbrella of the ENEA's long term strategic MINDES Program synchronized with indications of the worldwide GEMINI (Global Emergency Management Information Network Initiative) of the G7 Committee. IDA is an approach to the design of intelligent-agent based kernel of IDSS. In frame of the generic TOGA(Top-down Object-based Goal-oriented Approach) model of abstract intelligent agent, IPK (Information Preferences Knowledge) architecture is employed. The IDA objectives were to develop and verify the properties of information managed agent and knowledge managed agent, where the last should suggest an action or plan after every new significant event in the emergency domain. The IDA functional kernel is composed with three simple agents: -DirectAdvisor, it interacts with human user and emergency domain, -InfoProvider, it manages of information and intervention goals, and - IDAPlanner, it plans adequate interventions. For the design, UML (Unified Modeling Language) has been employed. MDP (Markov Decision Process) and CBR (Case Base Reasoning) are used for plans construction. Owing to a generic agent model and object-based conceptualization, the IDA system should be adaptable to the different roles of emergency managers. The IDA conceptual solutions can be also seen as a successive step towards high-intelligent DSSs.
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easy find adequate information on the web. Adam M.Gadomski works as a Senior Research Scientist and R&D Expert. Employed at ENEA. He is an author & co-author about 115 scientific papers. He serve as referee, program committee member and chair at Scientifi
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