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Game artificial intelligence
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#	Item
211	WOAH: An Obstacle Avoidance Technique for High Speed Path Following Nat Tuck, Michael McGuinness, and Fred Martin∗ University of Massachusetts Lowell, 1 University Avenue, Lowell, MA, USAABSTRACT This paper pres Add to Reading List Source URL: www.cs.uml.edu Language: English - Date: 2011-02-17 08:53:56 Robot control Vector Field Histogram Mobile robot Allen Robot Waypoint Pathfinding A* search algorithm Game artificial intelligence Robotics Artificial intelligence
212	Non-optimal Multi-Agent Pathfinding is Solved (SinceGabriele R¨oger and Malte Helmert University of Basel, Switzerland {gabriele.roeger,malte.helmert}@unibas.ch Abstract Add to Reading List Source URL: ai.cs.unibas.ch Language: English - Date: 2013-01-07 17:29:29 Games Pathfinding Fifteen puzzle Applied mathematics NP-complete problems Mathematics Game artificial intelligence
213	Gaming Overview Week 5 Homework: Comparing Games Read the following questions first. Then play both assigned games for at least several hours while keeping in mind these questions. Answer all questions in detail. Ques Add to Reading List Source URL: www.pages.drexel.edu Language: English - Date: 2006-05-02 21:46:58 Artificial intelligence Economics Replay value Game Human behavior Zero–sum game Strategy Science Outline of games Leisure Video game design Game theory
214	RankCut — A Domain Independent Forward Pruning Method for Games Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-06-09 08:41:54 Mathematics Graph theory Pruning Minimax Alpha-beta pruning Negamax Game tree Tree Branching factor Search algorithms Game artificial intelligence Artificial intelligence
215	Search-Based Footstep Planning Armin Hornung Daniel Maier Abstract— Efficient footstep planning for humanoid navigation through cluttered environments is still a challenging Add to Reading List Source URL: hrl.informatik.uni-freiburg.de Language: English - Date: 2013-05-16 05:02:57 Routing algorithms Game artificial intelligence Motion planning Mathematics A* search algorithm Applied mathematics Heuristic function Humanoid robot Robotics Search algorithms Artificial intelligence Combinatorial optimization
216	IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, VOL. 4, NO. 1, MARCHA Survey of Monte Carlo Tree Search Methods Cameron Browne, Member, IEEE, Edward Powley, Member, IEEE, Daniel Whitehouse, Memb Add to Reading List Source URL: www.doc.ic.ac.uk Language: English - Date: 2012-06-11 20:40:44 Graph theory Search algorithms Game theory Computer chess Combinatorial game theory Minimax Reinforcement learning Expectiminimax tree Negamax Mathematics Game artificial intelligence Artificial intelligence
217	In D.N.L. Levy and D.F. Beal, editors, Heuristic Programming in Artificial Intelligence 2 – The Second Computer Olympiad. Ellis Horwood, Exploratory Learning in the Game of GO Barney Pell University of Cambridge Add to Reading List Source URL: www.barneypell.com Language: English - Date: 2009-12-15 09:27:05 Computer Go Game theory Go Combinatorial game theory Tic-tac-toe Monopoly Probability Maven Minimax Games Abstract strategy games Mathematical games
218	YAVALATH: SAMPLE CHAPTER FROM EVOLUTIONARY GAME DESIGN Cameron Browne1 London, UK ABSTRACT The following chapter from Evolutionary Game Design (Brownedescribes Yavalath, the first computer-generated board game to Add to Reading List Source URL: www.genetic-programming.org Language: English - Date: 2012-06-28 00:31:02 Game design Gameplay Computational creativity Genetic programming Ludi Ancient Rome Greco-Roman world Science Mathematical optimization Evolutionary algorithms Artificial intelligence
219	RankCut — A Domain Independent Forward Pruning Method for Games Add to Reading List Source URL: www.comp.nus.edu.sg Language: English - Date: 2006-06-09 08:41:51 Game theory Mathematics Computer chess Heuristics Negascout Alpha-beta pruning Null-move heuristic Minimax Pruning Game artificial intelligence Artificial intelligence Search algorithms
220	Evaluating the believability of agents in virtual worlds Henrik Warpefelt Dept. of Computer and Systems Sciences Stockholm University Forum 100, 16443 Kista Add to Reading List Source URL: www.dcs.kcl.ac.uk Language: English - Date: 2013-06-09 18:08:16 Knowledge Agent Virtual world Macroeconomic model Affect Norm Situated Game Embodied agent Artificial intelligence Terminology Leisure

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