Zobrazeno 1 - 10
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pro vyhledávání: '"Peter Drake"'
'H.W. Arndt has been Australia's leading scholar of Asian economic development for over thirty years'- Former World Bank President James D Wolfensohn.The year of Heinz Wolfgang Arndt's birth, 1915, was not a good time for a German boy to be born. His
Autor:
Elizabeth Safran, Peter Drake, Erik Nilsen, Bryan Sebok, Blythe Ballesteros, Annabel Paris, Lana Parezanin, Ela Pencl, Sarah Wood, Jensen Kraus, Sylvia Kunz, Max Udas
The Pacific Northwest of the United States is subject to devastating earthquakes along the Cascadia Subduction Zone (CSZ) but lacks a strong “earthquake culture.” Among the least prepared residents are 18-29-year-olds, who are left out of traditi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0044d07607750f301b4af3ecf321b5a1
https://doi.org/10.5194/egusphere-egu22-10987
https://doi.org/10.5194/egusphere-egu22-10987
Publikováno v:
CHI Extended Abstracts
This study investigates the potential for learning about and motivating earthquake preparedness through video game play. 112 participants played a custom-built video game for between 5 and 30 minutes in an experiment involving two avatar selection co
Publikováno v:
SIGCSE
Data science is on the rise, being a high-demand skill for a number of employers, both in the tech field and in various scientific disciplines. Since it is a new field, only a handful of schools offer a data science program, most of those being large
Publikováno v:
IEEE Transactions on Computational Intelligence and AI in Games. 6:46-54
Recently, Monte Carlo tree search (MCTS) has become the dominant algorithm in Computer Go. This paper compares two simulation algorithms known as playout policies. The base policy includes some mandatory domain-specific knowledge such as seki and urg
Autor:
Peter Drake, Hendrik Baier
Publikováno v:
IEEE Transactions on Computational Intelligence and AI in Games. 2:303-309
The dominant paradigm for programs playing the game of Go is Monte Carlo tree search. This algorithm builds a search tree by playing many simulated games (playouts). Each playout consists of a sequence of moves within the tree followed by many moves
Publikováno v:
Journal American Society of Mining and Reclamation. 2010:89-97
Autor:
Peter Drake
Publikováno v:
ICGA Journal. 32:221-227
The dominant paradigm for computer-Go players is Monte-Carlo Tree Search (MCTS). This algorithm builds a search tree by playing many simulated games (playouts). Each playout consists of a sequence of moves within the tree followed by many moves beyon
Publikováno v:
ICGA Journal. 32:154-160
The classical Asian game of Go presents a difficult challenge for artificial intelligence programmers because of its vast search space and the difficulty of static board evaluation. One of the techniques humans employ while playing Go is spatial loca
Publikováno v:
Journal of Diversity in Higher Education. 2:166-181
To examine the relationship between social class status, experiences of classism, and psychosocial and school-related outcomes, 950 undergraduates at a liberal arts school completed a survey assessing their college experiences. Social class, race, an