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The interaction with humans is one of the critical components of modern Distributed Artificial Intelligence (DAI). Adaptive interfaces are a promising attempt to overcome contemporary problems due to the increasing complexity of human-computer interaction. They are designed to tailor a system's interactive behavior with consideration of both individual needs of human users and altering conditions within an application environment. Utilizing these advancements, we present an approach for the design of complex adaptive interface. This latter uses Intelligent Agents based on a Belief, Desire, and Intention (BDI) architecture to achieve problem resolution in a typical boiler combustion management system (GLZ). In our approach, MAS is used in order to coordinate an adaptive interface with a distributed decision and distributed information architecture. Agents can assist the users by executing actions such as anticipating the needed information, using the internet to collect data, and assisting the operator in analysis and treatment.
Date of Conference: 13-15 Dec. 2008