Fluxplayer: A Successful General Game Player Stephan Schiffel and Michael Thielscher Department of Computer Science Dresden University of Technology {stephan.schiffel,mit}@inf.tu-dresden.de

Source URL: ggp.stanford.edu

• Game artificial intelligence
• Mathematics
• Gaming
• Mathematical logic
• Eval
• Mathematical optimization
• Game Description Language
• Function
• FO
• Computer chess

Bandit based Monte-Carlo Planning Levente Kocsis and Csaba Szepesv´ari Computer and Automation Research Institute of the Hungarian Academy of Sciences, Kende u, 1111 Budapest, Hungary

Source URL: ggp.stanford.edu

• Search algorithms
• Game artificial intelligence
• Combinatorial optimization
• Routing algorithms
• Data types
• Minimax
• A* search algorithm
• Monte Carlo method
• Tree traversal
• UCT
• Tree
• Monte Carlo tree search

New Mexico Genealogical Society’s Genetic Genealogy Project (NMGS-GGP) Miguel A. Tórrez, Chair SHARING OF GENEALOGY The intent of the NMGS Genetic Genealogy project is to provide genetic and genealogical information f

Source URL: www.nmgs.org

• Genetic genealogy
• DNA
• Citizen science
• Mitochondrial genetics
• Mitochondrial DNA
• Genealogy
• Y chromosome
• Genealogical DNA test
• GeneTree

Automatic Construction of a Heuristic Search Function for General Game Playing Stephan Schiffel and Michael Thielscher Department of Computer Science Dresden University of Technology {stephan.schiffel,mit}@inf.tu-dresden

Source URL: ggp.stanford.edu

• Game artificial intelligence
• Heuristics
• Operations research
• Mathematical optimization
• Eval
• Computer chess
• Function
• Gameplay

Symmetry Detection in General Game Playing Stephan Schiffel Department of Computer Science Dresden University of Technology

Source URL: ggp.stanford.edu

• Symmetry
• Algebraic graph theory
• Graph automorphism
• Symmetry in mathematics
• Regular icosahedron
• Graph coloring
• Graph
• Petersen graph
• Nauru graph

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

Playout Policy Adaptation for Games Tristan Cazenave∗ LAMSADE Université Paris-Dauphine Abstract. Monte Carlo Tree Search (MCTS) is the state of the art algorithm for General Game Playing (GGP). We propose to learn a

Source URL: www.lamsade.dauphine.fr

PDF Document

Source URL: www.ggp.com

Microsoft Word - Revised- Reward Card Terms and Conditions- FREEDOMdoc

Source URL: www.ggp.com

• Economy
• Money
• Finance
• Payment systems
• E-commerce
• Credit cards
• Merchant services
• Debit cards
• Stored-value card
• Card security code
• American Express
• Loyalty program

NEWSLE T TER GENERATIONS & GENDER PROGRAMME NOAugust 2015

Source URL: www.ggp-i.org