CE318: High-level Games Development Lecture 9: Game AI: Decision Making Diego Perez Office 3A.527

Source URL: orb.essex.ac.uk

• Decision theory
• Decision trees
• Data types
• Decision tree
• Tree
• Binary trees
• K-ary tree
• Artificial intelligence
• Influence diagram
• R-tree
• Decision tree learning
• Binary search tree

Monte Carlo Tree Search with Macro-Actions and Heuristic Route Planning for the Multiobjective Physical Travelling Salesman Problem Edward J. Powley, Daniel Whitehouse, and Peter I. Cowling Department of Computer Science

Source URL: eldar.mathstat.uoguelph.ca

• Cybernetics
• Global Positioning System
• Navigation
• Orienteering
• Waypoint
• Evolutionary algorithms
• Control theory
• CMA-ES
• Mathematical optimization
• Controller
• Video game bot
• Monte Carlo tree search

14 night’s safari combining the excitement of the Victoria Falls with Zambia’s best game-viewing destinations plus the tranquillity and beauty of Lake Malawi. Kaya Mawa together with Tongabezi, Sausage Tree and Norma

Source URL: kayamawa.com

Optimal Efficiency Guarantees for Network Design Mechanisms? Tim Roughgarden??1 and Mukund Sundararajan? ? ?1 Department of Computer Science, Stanford University, 353 Serra Mall, Stanford, CA 94305.

Source URL: theory.stanford.edu

• Operations research
• Auction theory
• Mechanism design
• Game theory
• VickreyClarkeGroves mechanism
• Vickrey auction
• Optimization problem
• Mathematical optimization
• Steiner tree problem
• Shortest path problem
• Microeconomics

Finding Graph Topologies for Feasible Multirobot Motion Planning Pushkar Kolhe Henrik I. Christensen Abstract— In this paper we present a design methodology

Source URL: www.researchgate.net

• Edsger W. Dijkstra
• Routing algorithms
• Graph theory
• Game artificial intelligence
• Search algorithms
• Shortest path problem
• Topology
• Pathfinding
• A* search algorithm
• Minimum spanning tree
• Visibility graph
• Motion planning

Hyper-heuristic General Video Game Playing Andre Mendes Julian Togelius Andy Nealen

Source URL: julian.togelius.com

• Cybernetics
• Mathematical optimization
• Operations research
• Search algorithms
• Heuristics
• Hyper-heuristic
• Algorithm Selection
• Genetic algorithm
• Algorithm
• Machine learning
• Monte Carlo tree search
• Evolutionary algorithm

2014 Cultural Resources Field Survey Summary

Source URL: asapgas.agdc.us

• Australian Game Developers Conference
• Video game development
• Video gaming in Australia
• Alaska
• Culturally modified tree

Mastering the Game of Go with Deep Neural Networks and Tree Search David Silver1 *, Aja Huang1 *, Chris J. Maddison1 , Arthur Guez1 , Laurent Sifre1 , George van den Driessche1 , Julian Schrittwieser1 , Ioannis Antonoglo

Source URL: gogameguru.com

• Machine learning
• Computer Go
• Computational neuroscience
• Artificial intelligence
• Go software
• AlphaGo
• Convolutional neural network
• Monte Carlo tree search
• Reinforcement learning
• Artificial neural network
• Monte Carlo method
• Google DeepMind

2.2 Counting Outcomes Overview of the lesson plan: Is it necessary to play a game many times to figure out the likelihood of winning? If not, how can we measure this likelihood? In this lesson, students learn that they c

Source URL: citydigits.org

• Teaching
• Probability theory
• Outcome
• Probability
• Decision tree
• Lesson
• Randomness

Transpositions and Move Groups in Monte Carlo Tree Search Benjamin E. Childs, Member, IEEE, James H. Brodeur, and Levente Kocsis. Abstract— Monte Carlo search, and specifically the UCT (Upper Confidence Bounds applied

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

• Game artificial intelligence
• Monte Carlo tree search
• Transposition table
• Alphabeta pruning
• Minimax
• Game tree
• Tree traversal
• Computer Go
• Monte Carlo method
• UCT
• Tree
• General game playing