Game artificial intelligence - PDFSEARCH.IO - Document Search Engine

Game artificial intelligence
Results: 615

#	Item
81	Multigame playing by means of UCT enhanced with automatically generated evaluation functions Karol Wal¸edzik and Jacek Ma´ ndziuk Faculty of Mathematic and Information Science, Add to Reading List Source URL: www.mini.pw.edu.pl Language: English - Date: 2011-03-01 16:30:03 Game artificial intelligence Game theory General game playing Game Description Language Monte Carlo method Simulation University of Cape Town Computer chess Game Evaluation function
82	Scalable Game Design Our main goal is to bring computer science to middle schools with the ultimate aim of developing a larger IT workforce. Our approach called Scalable Game Design uniquely balances Add to Reading List Source URL: sgd.cs.colorado.edu Language: English Visual programming languages Simulation software AgentSheets Artificial intelligence Cross-platform software Alexander Repenning
83	Journal of Artificial Intelligence Research755 Submitted 08/08; publishedEfficient Informative Sensing using Multiple Robots Amarjeet Singh Add to Reading List Source URL: select.cs.cmu.edu Language: English - Date: 2009-08-13 03:47:06 Mathematics Applied mathematics Theoretical computer science Routing algorithms Combinatorial optimization Search algorithms Game artificial intelligence Algorithm A* search algorithm Submodular set function Motion planning Greedy algorithm
84	Story Representation in Analogy-Based Story Generation in Riu Jichen Zhu and Santiago Onta˜no´ n Abstract— Computational analogy offers a promising direction to algorithmically generating stories, a key challenge in Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Semantics Cognitive science Cognition Artificial intelligence Science Arts Cognitive psychology Computational creativity Analogy Structure mapping engine Analogical models Fluid Concepts and Creative Analogies
85	Keeping the Trainee on Track Joost Westra, Frank Dignum, Virginia Dignum Abstract— Serious games and other training applications have the requirement that they should be suitable for trainees with different skill level Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Artificial intelligence Software Gaming Multi-agent systems Fiction Game design Dynamic game difficulty balancing Software agent Agent Star Trek Online Simulation
86	Distributed Computing Prof. R. Wattenhofer BA/MA/SA: Multi-Agent Pathfinding and Crowd Simulation Add to Reading List Source URL: www.tik.ee.ethz.ch Language: English - Date: 2016-02-12 10:14:19 Edsger W. Dijkstra Game artificial intelligence Pathfinding Multi-agent system Simulation
87	Extending Neuro-evolutionary Preference Learning through Player Modeling H´ector P. Mart´ınez, Kenneth Hullett, and Georgios N. Yannakakis, Member, IEEE Abstract—In this paper we propose a methodology for improving Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-10 12:41:00 Artificial neural networks Dimension reduction Computational neuroscience Computational statistics Georgios N. Yannakakis Affective computing Machine learning Preference learning Competitive learning Artificial intelligence Self-organizing map Feature selection
88	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 Add to Reading List Source URL: www.csse.uwa.edu.au Language: English - Date: 2009-02-05 01:17:40 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
89	Game-based Data Capture for Player Metrics Aline Normoyle and John Drake Maxim Likhachev Alla Safonova Add to Reading List Source URL: www.alinenormoyle.com Language: English - Date: 2012-09-03 19:37:16 Artificial intelligence Software Humancomputer interaction Belief revision Reinforcement learning Markov decision process Dynamic game difficulty balancing Speech recognition
90	Using Co-evolved RTS Opponents to Teach Spatial Tactics Greg Smith, Phillipa Avery, Ramona Houmanfar and Sushil Louis Abstract—This paper describes a co-evolutionary algorithm for generating simple spatially oriented t Add to Reading List Source URL: game.itu.dk Language: English - Date: 2010-08-11 15:23:00 Software Gaming Windows games Digital media Video game development Video game genres Linux games Artificial intelligence Real-time strategy Strategy video game Video game Command & Conquer: Generals

UPDATE