Report on the 11 th Advances in Computer Games Conference Ling Zhao University of Alberta October...
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Report on the 11th Advances in Computer Games Conference
Ling Zhao
University of Alberta
October 18, 2005
Conference
Institute of Information Science, Academia Sinica, Taiwan
September 6-September 8 20 Technical papers, 3 invited talks.
UofA Presence
4 technical papers (Nathan, Markian, Niu, Ling)
1 invited talk (Tony Marsland) 1 gold medal (Mike Smith, in game of
pool). Familiar faces (Kishi, Hashimoto)
Invited talks
Trials and Tribulations of a programmer, by Tony Marsland
Towards dynamics of intelligence in the field of games, by Hiroyuki Iida
Hardware-related research at Microsoft Research Asia, by Feng-hsiung Hsu.
Trials and Tribulations of a programmer Research material preservation. Anecdotes in 25 years of research on
computer chess (1970-1995). Other research advice.
Towards dynamics of intelligence in the field of games Game refinement theory Two measures (complexity and game-
refinement) Formulas: sqrt(B)/D, … To create a well-refined game is great, and
to design a fair situation for man-machine match is a great challenge!
Hardware-related research at Microsoft Research Asia PCI FPGA-based hardware: 13 million
gates Completely wireless environments No Deep Blue topics!
Deep Green Vs. Michael Greenspan Deep Green: Pool-playing robot. Involving physics, mechanics, electronic
engineering, image processing and artificial intelligence.
Parametrization of ball motions. Analytical and accurate solution for both
time and space parameters. Suitable for game tree search and outcome
prediction.
Innovative Opening-book Handling by Ulf Lorenz How to efficiently utilize databases of
grandmaster games? Opening book contains too much rubbish. Two heuristics: risk and goodness. Risk: move frequency table for each
position. Goodness: benefit history of a move.
Cognitive Science in Shogi byTakeshi Ito Using verbal protocol data and eye movement
data. Space chunking: Dividing the whole position into
small meaningful parts. Results:
1. Shogi experts can memorize position patterns
and move sequences.
2. Shogi experts use both spatial chunks and
temporal chunk (move sequences).