Collaborative Agents for Drilling Optimisation Tasks Using an Unsupervised Connectionist Model
Fecha de publicación
Universidad de León
IV International Workshop on Practical Applications of Agents and Multiagent Systems. IWPAAMS'2005.
The purpose of this study is the optimization of drilling tasks in the construction of big auto-car storage warehouse. This is carried out by applying different Artificial Intelligence (AI) techniques; A cooperative unsupervised connectionist model (focused on the detection of some optimal drilling conditions) and software agents. These agents can collaborate to save drilling time and waste by interchanging information about the conditions of drill bits and the kind of material to be drilled.
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