Construction and Elicitation of a Black Box Model in the Game of Bridge

Autor:	Ventos, Véronique, Braun, Daniel, Deheeger, Colin, Desmoulins, Jean Pierre, Fantun, Jean Baptiste, Legras, Swann, Rimbaud, Alexis, Rouveirol, Céline, Soldano, Henry, Thépaut, Solène
Rok vydání:	2020
Předmět:	Computer Science - Artificial Intelligence
Druh dokumentu:	Working Paper
Popis:	We address the problem of building a decision model for a specific bidding situation in the game of Bridge. We propose the following multi-step methodology i) Build a set of examples for the decision problem and use simulations to associate a decision to each example ii) Use supervised relational learning to build an accurate and readable model iii) Perform a joint analysis between domain experts and data scientists to improve the learning language, including the production by experts of a handmade model iv) Build a better, more readable and accurate model. Comment: vventos@nukk.ai
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2005.01633 Zobrazit plný text záznamu View this record from Arxiv