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Skip to Search Results- 27Artificial intelligence
- 6Machine learning
- 2Computer games
- 2Games
- 2Logic, Symbolic and mathematical
- 2Monte-carlo tree search
- 1Allen, Timothy Karl van.
- 1Alsakka, Fatima
- 1Bacchus, Fahiem.
- 1Bard, Nolan DC
- 1Chai, Robert Andrew.
- 1Churchill, David G
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Digital Twin for Production Estimation, Scheduling and Real-Time Monitoring in Offsite Construction
DownloadFall 2023
The offsite construction industry continues to rely on experience-based average production rates (i.e., average quantity per unit of time) to estimate and schedule production operations. This approach is hindered by various sources of production variability, such as machine breakdowns and...
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Spring 2015
Sampling from a given probability distribution is a key problem in many different disciplines. Markov chain Monte Carlo (MCMC) algorithms approach this problem by constructing a random walk governed by a specially constructed transition probability distribution. As the random walk progresses, the...
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Fall 2016
Real-time strategy (RTS) video games are known for being one of the most complex and strategic games for humans to play. With a unique combination of strategic thinking and dexterous mouse movements, RTS games make for a very intense and exciting game-play experience. In recent years the games AI...
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Spring 2016
Ideal agent behaviour in multiagent environments depends on the behaviour of other agents. Consequently, acting to maximize utility is challenging since an agent must gather and exploit knowledge about how the other (potentially adaptive) agents behave. In this thesis, we investigate how an...
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1980
"Spring 1980."
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Spring 2012
Havannah is a recent game that is interesting from an AI research perspective. Some of its properties, including virtual connections, frames, dead cells, draws and races to win, are explained. Monte Carlo Tree Search (MCTS) is well suited to play Havannah, but many improvements are possible....