Download #1 - Villanova Computer Science

Name: Michael Hercenberg
Topic: Dynamic Learning of AI in Gaming
Description: The goal of this research is to find dynamic algorithms that can be used in
real-time.
References:
 Kitty S. Y. Chiu, Keith C. C. Chan. “Using Data Mining for Dynamic Level
Design in Games” Lecture Notes in Computer Science, Volume 4994, 2008.
[Explains the use of dynamic learning in creating level-appropriate levels in
gaming.]

Santiago Ontañón, Kinshuk Mishra, Neha Sugandh, Ashwin Ram. “Learning
from Demonstration and Case-Based Planning for Real-Time Strategy Games”
Studies in Fuzziness and Soft Computing, Volume 226, 2008. [Gives and explains
examples of the dynamic learning algorithms used in gaming.]

Andrew G. Barto, Steven J. Bradtke, Satinder P. Singh."Learning to act using
real-time dynamic programming" Artificial Intelligence Volume 72, Issues 1-2,
January 1995, Pages 81-138. [Explains Real-Time Dynamic Learning and the
many different algorithm designs.]

Marc Ponsen. “Improving Adaptive Game AI with Evolutionary Learning”
Faculty of Media & Knowledge Engineering, Delft University of Technology,
2004. [Explains the history of AI in gaming and how it can be improved.]

Pieter Spronck, Ida Sprinkhuizen-Kuyper and Eric Postma. “Difficulty Scaling of
Game AI” Universiteit Maastricht / IKAT, 2004. [Explains dynamic difficulty
scaling in games and presents their own algorithm]

Pieter Spronck, Marc Ponsen, Ida Sprinkhuizen-Kuyper, Eric Postma. “Adaptive
Game AI with Dynamic Scripting” Machine Learning, Volume 63, Number, June
2006. [Explains the general aspects of dynamic learning algorithms in gaming.]

Pieter Spronck, Ida Sprinkhuizen-Kuyper and Eric Postma. “Online Adaptation of
Game Opponent AI in Simulation and in Practice” Universiteit Maastricht / IKAT,
2004. [Explains dynamic learning and its uses in online gaming.]

Christian Thurau, Gerhard Sagerer, Christian Bauckhage. “Imitation learning at
all levels of Game-AI” Thurau, 2004. [Explains how the human ability to imitate
can be used in dynamic AI learning.]

Gerhard Widmer, Miroslav Kubat. “Effective learning in dynamic environments
by explicit context tracking” Springer Berlin / Heidelberg, Volume 667, 1993.
[They introduce incremental concept learning in dynamic environments used by
FLORA3.]