Real-time Adaptation of Augmented-Reality Games for Optimizing Player Satisfaction Georgios N. Yannakakis, Member, IEEE, and John Hallam Abstract— A first endeavor for optimizing player satisfaction in augmented-realit

Source URL: www.csse.uwa.edu.au

• Game design
• Leisure
• Gaming
• Learning
• Education
• Dynamic game difficulty balancing
• Georgios N. Yannakakis
• Playware
• Gameplay
• Adaptive learning
• Play
• Video game

Dynamic Formations in Real-Time Strategy Games Marcel van der Heijden, Sander Bakkes, and Pieter Spronck A. Formations Abstract— Current approaches to organising units in strategic video games are typically implemented

Source URL: www.csse.uwa.edu.au

• Video game development
• Software
• Gaming
• Artificial intelligence
• Video game bot
• Phalanx
• Machine learning
• Real-time strategy
• Formation

Search and Games Adi Botea ANU Summer Schools in Logic and Learning February, 2009

Source URL: ssll.rsise.anu.edu.au

Adventure Safaris, Out Fitters for Life Adventure Safaris Learning Kits 1 and 2 for Lessons 1-16 BASIC KIT is 1 CD with Power Point & Reader + 2 DVD videos with 8 Lessons + Mr. McGlenn teaching the lessons. Games & acti

Source URL: www.tccsa.tc

Predicting Player Behavior in Tomb Raider: Underworld Tobias Mahlmann, Anders Drachen, Julian Togelius, Alessandro Canossa and Georgios N. Yannakakis Abstract—This paper presents the results of an explorative study on

Source URL: game.itu.dk

• Software
• Gaming
• Digital media
• Tomb Raider series
• Windows games
• Video game development
• Game design
• Action-adventure games
• Prediction
• Dynamic game difficulty balancing
• Machine learning
• Tomb Raider

View extended calendar and details on website: www.itsmacademy.com All Courses include GAME ON! an Interactive Learning Experience® View Now to Play Sample Games ® ®

Source URL: itsmacademy.com

• Software development
• Information technology management
• ITIL
• IT service management
• Agile software development
• DevOps
• Professional certification

Learning and Knowledge Generation in General Games Shiven Sharma, Ziad Kobti, Scott Goodwin Abstract— General Game Playing (GGP) aims at developing game playing agents that are able to play a variety of games and in th

Source URL: www.csse.uwa.edu.au

• Machine learning
• Artificial intelligence
• Game artificial intelligence
• Applied mathematics
• Computational neuroscience
• Game theory
• Cybernetics
• Ant colony optimization algorithms
• General game playing
• Reinforcement learning
• Computer Go
• Q-learning

Using Reinforcement Learning for City Site Selection in the Turn-Based Strategy Game Civilization IV Stefan Wender, Ian Watson Abstract— This paper describes the design and implementation of a reinforcement learner bas

Source URL: www.csse.uwa.edu.au

• Windows games
• Reinforcement learning
• Q-learning
• Civilization V
• Civilization IV
• Artificial intelligence
• Machine learning
• Civilization
• Freeciv
• Learning
• AI War: Fleet Command

Search and Games Adi Botea ANU Summer Schools in Logic and Learning February, 2009

Source URL: ssll.cecs.anu.edu.au

Rapid Adaptation of Video Game AI Sander Bakkes, Pieter Spronck, and Jaap van den Herik A. Entertainment and Game AI Abstract— Current approaches to adaptive game AI require either a high quality of utilised domain kno

Source URL: www.csse.uwa.edu.au

• Computational neuroscience
• Cybernetics
• Video game development
• Artificial intelligence
• Windows games
• Dynamic game difficulty balancing
• Action selection
• Artificial neural network
• Machine learning
• Spring Engine