Alex B. Meijer

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Alex B. Meijer,
a Dutch computer scientist and AI researcher, in 2007 affiliated with the Department of Medical Decision Making, Leiden University [1], and before with the Delft University of Technology as member of the Knowledge Based Systems Group [2], where he along with Henk Koppelaar, worked and published on learning and planning in Go.

HUGO

A learning architecture for the game of Go, Abstract [3]:
In this paper, a three-component architecture of a learning environment for Go is sketched, which can be applied to any two-player, deterministic, full information, partizan, combinatorial game. The architecture called HUGO has natural and human-like reasoning components. Its most abstract component deals with the selection of subgames of Go. The second component is concerned with initiative. The notion of gote no sente (a move that loses initiative but creates new lines of play that will hold initiative) is formalized. In the third component, game values are computed with a new kind of alpha-beta algorithm based on fuzzy, partial ordering. Our approach leaves some valuable control parameters and others ways to apply further machine learning techniques.

Selected Publications


External Links


References

  1. ^ Alex B. Meijer (2007). A Methodology for Automated Extraction of the Optimal Pathways from Influence Diagrams. Artificial Intelligence in Medicine
  2. ^ Staff at Knowledge Based Systems Group, TU Delft
  3. ^ Alex B. Meijer, Henk Koppelaar (2001). A learning architecture for the game of Go. Game-On 2001

What links here?

Page Date Edited
Alex B. Meijer Aug 31, 2014
Delft University of Technology Feb 4, 2018
Go Jan 24, 2018
Henk Koppelaar Aug 31, 2014
Learning Feb 20, 2018
Leiden University Jul 5, 2016
People Feb 28, 2018
Planning Feb 12, 2018

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