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The ADMIT project focuses on enhancing decision-making in complex systems like traffic and energy management using multi-agent systems and distributed data mining. It aims to develop effective methods for parameter estimation and improve the intelligence of agents in decentralized environments.
Today's systems for managing critical infrastructure such as traffic, energy, or industry automation systems are highly complex, distributed, and increasingly decentralized.
Multi-agent systems (MAS) provide an intuitive metaphor and configurable, robust and scalable methods for problem-solving and control in distributed, decentrally organized system.
The purpose of Distributed Data Mining (DDM) is to provide algorithmic solutions for data analysis in a distributed manner to detect hidden patter…
TECHNISCHE UNIVERSITAT CLAUSTHAL
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