Main Track

• Does the Moran Process Hinder Our Understanding of Cooperation in Human Populations?
  Garry Greenwood and Phillipa Avery
• Automated Design for Playability in Computer Game Agents
  Scott Watson, Wolfgang Banzhaf and Andrew Vardy
• The Effectiveness of Persuasion in The Settlers of Catan
  Markus Guhe and Alex Lascarides
• Evolving Artificial Neural Networks Applied to Generate Virtual Characters
  Joan Marc Llargues Asensio, Juan Peralta Donate and Paulo Cortez
• Common Fate Graph Patterns in Monte Carlo Tree Search for Computer Go
  Tobias Graf and Marco Platzner
• Prolog versus specialized logic inference engine in General Game Playing
  Maciej Swiechowski and Jacek Mandziuk
• Beyond Heatmaps: Spatio-Temporal Clustering using Behavior-Based Partitioning of Game Levels
  Christian Bauckhage, Rafet Sifa, Anders Drachen, Christian Thurau and Fabian Hadiji
• Bejeweled, Candy Crush and other Match-Three Games are (NP-)Hard
  Luciano Guala, Stefano Leucci and Emanuele Natale
• Automatic Generation of Fantasy Role-playing Modules
  Daniel Ashlock and Cameron Mcguinness
• Knowledge-based Fast Evolutionary MCTS for General Video Game Playing
  Diego Perez, Spyridon Samothrakis and Simon Lucas
• Shaped Prisoner's Dilemma Automata
  Wendy Ashlock and Daniel Ashlock
• Temporal Difference Learning with Eligibility Traces for the Game Connect Four
  Markus Thill, Samineh Bagheri, Patrick Koch and Wolfgang Konen
• Non-invasive Player Experience Estimation from Body Motion and Game Context
  Paolo Burelli, Georgios Triantafyllidis and Ioannis Patras
• SpelunkBots API - An AI Toolset for Spelunky
  Daniel Scales and Tommy Thompson
• Designer Modeling for Sentient Sketchbook
  Antonios Liapis, Georgios Yannakakis and Julian Togelius
• Multi-Goal Motion Planning with Physics-based Game Engines
  Stefan Edelkamp and Erion Plaku
• Churn Prediction for High-value Players in Casual Social Games
  Julian Runge, Peng Gao, Florent Garcin and Boi Faltings
• Predicting Player Churn in the Wild
  Fabian Hadiji, Rafet Sifa, Anders Drachen, Christian Thurau, Kristian Kersting and Christian Bauckhage
• Opponent State Modeling in RTS games with limited information using Markov Random Fields
  Michael Leece and Arnav Jhala
• Predicting Unexpected Influxes of Players in EVE Online
  Roman Garnett, Thomas Gartner, Timothy Ellersiek, Eyjolfur Gudmondsson and Petur Oskarsson
• Parallel UCT Search on GPUs
  Nicolas A. Barriga, Marius Stanescu and Michael Buro
• Reinforcement Learning to Control a Commander for Capture The Flag
  Jayden Ivanovic, Fabio Zambetta, Xiaodong Li and Jessica Rivera Villicana
• Converging to a Player Model in Monte-Carlo Tree Search
  Trevor Sarratt, David Pynadath and Arnav Jhala
• Solving Physical Traveling Salesman Problems with Policy Adaptation
  Stefan Edelkamp and Christoph Greulich
• Learning to Recommend Game Contents for Real-Time Strategy Gamers
  Hyun-Tae Kim and Kyung-Joong Kim
• Game strategies for The Settlers of Catan
  Markus Guhe and Alex Lascarides
• Generating an Attribute Space for analyzing Balance in Single Unit RTS Game Combat
  Shaun Bangay and Owen Makin
• Control of non-playing characters in a medical learning game with Monte Carlo Tree Search
  Maxime Sanselone, Stephane Sanchez, Cedric Sanza, David Panzoli and Yves Duthen
• Extended Ramp Goal Module: Low-Cost Behaviour Arbitration for Real-Time Controllers based on Biological Models of Dopamine Cells
  Swen Gaudl and Joanna J. Bryson
• Rolling Horizon methods for Games with Continuous States and Actions
  Spyridon Samothrakis, Samuel Roberts, Diego Perez and Simon Lucas
• Monte Carlo Tree Search Variants for Simultaneous Move Games
  M.J.W. Tak, Marc Lanctot and Mark H. M. Winands
• Using Partial Satisfaction Planning to Automatically Select NPCs' Goals and Generate Plans in a Simulation Game
  Sylvain Labranche, Nicolas Sola, Sophie Callies and Eric Beaudry
• Believable NPCs in Serious Games: HTN Planning Approach Based on Visual Perception
  Ibrahim Mahmoud, Lianchao Li, Dieter Wloka and Mostafa Ali
• Heuristic Move Pruning in Monte Carlo Tree Search for the Strategic Card Game Lords of War
  Nick Sephton, Peter Cowling and Edward Powley
• An Implementation of Affective Adaptation in Survival Horror Games
  Vanus Vachiratamporn, Koichi Moriyama, Ken-Ichi Fukui and Masayuki Numao
• Cultural Influences on Play Style
  Mateusz Bialas, Shoshannah Tekofsky and Pieter Spronck
• Enhancing Upper Confidence Bounds for Trees with Temporal Difference Values
  Tom Vodopivec and Branko Ster
• An Approach to General Videogame Evaluation and Automatic Generation using a Description Language
  Chong-U Lim and D. Fox Harrell
• The Nash and the Bandit Approaches for Adversarial Portfolios
  David Lupien St-Pierre and Olivier Teytaud
• An Algorithmic Approach to Analyzing Combat and Stealth Games
  Jonathan Tremblay, Pedro Andrade Torres and Clark Verbrugge
• Racing Tracks Improvisation
  Jiao Jian Wang and Olana Missura
• Script- and Cluster-based UCT for StarCraft
  Niels Justesen, Balint Tillman, Julian Togelius and Sebastian Risi
• Evolving Maps for Match Balancing in First Person Shooters
  Pier Luca Lanzi, Daniele Loiacono and Riccardo Stucchi
• Designer-driven 3D Buildings Generated Using Variable Neighborhood Search
  Jose-Maria Pena, Javier Viedma, Santiago Muelas, Antonio Latorre and Luis Pena
• Monte Carlo Tree Search with Heuristic Evaluations using Implicit Minimax Backups
  Marc Lanctot, Mark H. M. Winands, Tom Pepels and Nathan R. Sturtevant
• Evolving Effective Micro Behaviors in RTS Game
  Siming Liu, Sushil Louis and Christopher Ballinger
• Learning Robust Build-Orders from Previous Opponents with Coevolution
  Christopher Ballinger and Sushil Louis
• The Playtime Principle: Large-scale Cross-games Interest Modeling
  Rafet Sifa, Christian Bauckhage and Anders Drachen
• Temporal Difference Learning of N-Tuple Networks for the Game 2048
  Marcin Szubert and Wojciech Jaskowski
• Searching for Good and Diverse Game Levels
  Mike Preuss, Antonios Liapis and Julian Togelius
• A Multi-level Level Generator
  Steve Dahlskog and Julian Togelius
• Comparing the Structure of Probabilistic 4- and 8-state Finite Transducer Representations for Prisoner’s Dilemma
  Jeffrey Tsang
• Evolving Personas for Player Decision Modeling
  Christoffer Holmgard, Antonios Liapis, Julian Togelius and Georgios N. Yannakakis
• A Search-based Approach for Generating Angry Birds Levels.
  Lucas Ferreira and Claudio Toledo
• Applying Fingerprint Multilateration to Population Dynamics in Prisoner’s Dilemma Simulations
  Jeffrey Tsang
• Applying Data Mining to Extract Design Patterns from Unreal Tournament Levels
  Luca Galli, Pier Luca Lanzi and Daniele Loiacono

Auxiliary Track

Demo Papers

• The C2Create Authoring Tool: Fostering Creativity via Game Asset Creation
  Phil Lopes, Antonios Liapis and Georgios Yannakakis
• Towards market seller modeling in World of Warcraft
  Sheng-Yi Hsu, Julian Togelius and Chung-Tsai Sun
• Imitation Learning for Combat System in RTS Games with Application to StarCraft
  In-Seok Oh, Ho-Chul Cho and Kyung-Joong Kim
• An Investigation into 2048 AI Strategies
  Philip Rodgers and John Levine
• Learning to Play Fighting Game using Massive Play Data
  Hyunsoo Park and Kyung-Joong Kim
• Exploring a Large Space of Small Games
  Gabriella Barros and Julian Togelius
• Solving Geometry Friends using Monte-Carlo Tree Search with Directed Graph Representation
  Hyun-Tae Kim, Du-Mim Yoon and Kyung-Joong Kim
• Improvements for the Simulated Car Racing Software Interface
  Jan Quadflieg
• Procedural Generation of Music-Guided Weapons
  William Cachia, Luke Aquilina, Hector P. Martinez and Georgios Yannakakis

Competition Papers

• Deduction of Fighting-Game Countermeasures Using the k-Nearest Neighbor Algorithm and a Game Simulator
  Kaito Yamato, Syunsuke Mizuno, Chun Chu and Ruck Thawonmas

Vision Papers

• Game Intelligence
  Sam Devlin, Peter I. Cowling, Daniel Kudenko, Nikolaos Goumagias, Alberto Nucciarelli, Ignazio Cabras, Kiran Fernandes and Feng Li