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Collaborative Agents for Drilling Optimisation Tasks Using an Unsupervised Connectionist Model

Collaborative Agents for Drilling Optimisation Tasks Using an Unsupervised Connectionist Model,Leticia Curiel,Álvaro Herrero,Emilio Corchado,Pedro Bra

Collaborative Agents for Drilling Optimisation Tasks Using an Unsupervised Connectionist Model  
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The purpose of this study is the optimization of drilling tasks in the construction of big auto-carrier storage warehouses. 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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