P. Spronck

Publications
Influence

Monte-Carlo Tree Search: A New Framework for Game AI

Guillaume Chaslot, S. Bakkes, I. Szita, P. Spronck
Computer Science, Philosophy
AIIDE
22 October 2008

We put forward Monte-Carlo Tree Search as a novel, unified framework to game AI. Expand

Monte-Carlo Tree Search in Settlers of Catan

I. Szita, Guillaume Chaslot, P. Spronck
Computer Science, Sociology
ACG
11 May 2009

We apply Monte-Carlo Tree Search (MCTS) to the multi-player, non-deterministic board game Settlers of Catan. Expand

Adaptive game AI

P. Spronck
Computer Science
2005

Auditing in Egypt: A study of the legal framework and professional standards

M. Wahdan, P. Spronck, H. F. Ali, E. Vaassen, H. J. V. Herik
Business
2005

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 and… Expand

DIFFICULTY SCALING OF GAME AI

P. Spronck, I. Sprinkhuizen-Kuyper, E. Postma
2004

“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 human… Expand

On-Line Adaptation of Game Opponent AI in Simulation and in Practice

P. Spronck, I. Sprinkhuizen-Kuyper, E. Postma
Computer Science
GAME-ON
2003

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

Player behavioural modelling for video games

S. Bakkes, P. Spronck, G. V. Lankveld
Computer Science
Entertain. Comput.
1 August 2012

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

Player Modeling

Georgios N. Yannakakis, P. Spronck, D. Loiacono, E. André
Computer Science
Artificial and Computational Intelligence in…
2013

Player modeling is the study of computational models of players in games. Expand

Opponent Modeling in Real-Time Strategy Games

Frederik Schadd, S. Bakkes, P. Spronck
Computer Science
GAMEON
2007

We propose an approach of opponent modeling based on hierarchically structured models. Expand

On-line Adaptation of Game Opponent AI with Dynamic Scripting

P. Spronck, I. Sprinkhuizen-Kuyper, E. Postma
Computer Science
Int. J. Intell. Games Simul.
1 March 2004

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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