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Monte-Carlo Tree Search: A New Framework for Game AI
TLDR
We put forward Monte-Carlo Tree Search as a novel, unified framework to game AI. Expand
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Monte-Carlo Tree Search in Settlers of Catan
TLDR
We apply Monte-Carlo Tree Search (MCTS) to the multi-player, non-deterministic board game Settlers of Catan. Expand
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Adaptive game AI
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Auditing in Egypt: A study of the legal framework and professional standards
The objective of the paper is to present an analysis of the legal framework surrounding the auditing profession in Egypt, and the problems faced by the profession. The basic Company Law of 1951 andExpand
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DIFFICULTY SCALING OF GAME AI
“Difficulty scaling” is the automatic adaptation of a game, to adapt the challenge a game poses to a human player. In general, a game of which the challenge level matches the skill of the humanExpand
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On-Line Adaptation of Game Opponent AI in Simulation and in Practice
TLDR
We propose a novel technique called dynamic scripting that realises online adaptation of scripted opponent AI and report on experiments performed in both a simulated and an actual CRPG to assess the adaptive performance obtained with the technique. Expand
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Player behavioural modelling for video games
TLDR
We provide an overview of player behavioural modelling for video games by detailing four distinct approaches, namely (1) modelling player actions, (2) modelling game tactics, (3) modeling player strategies, and (4) player profiling. Expand
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Player Modeling
TLDR
Player modeling is the study of computational models of players in games. Expand
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Opponent Modeling in Real-Time Strategy Games
TLDR
We propose an approach of opponent modeling based on hierarchically structured models. Expand
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On-line Adaptation of Game Opponent AI with Dynamic Scripting
TLDR
Unsupervised online learning in commercial computer games allows computer-controlled opponents to adapt to the way the game is being played, thereby providing a mechanism to deal with weaknesses in the game AI. Expand
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