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Thread: Miscellaneous

  1. #1


    Artificial Intelligence and the Future of Games as an Expres

    Uploaded on Sep 4, 2008

    Artificial Intelligence and the Future of Games as an Expressive Medium
    Michael Mateas [Professor of Computer Science, UC Santa Cruz]
    Artificial intelligence methods open up new possibilities in game design, enabling the creation of believable characters with rich personalities and emotions, interactive story systems that incorporate player interaction into the construction of dynamic plots, and authoring systems that assist human designers in creating games. Games are fast becoming a major medium of the 21st century, being used for everything from education, to editorial news commentary, to expressing public policy and political opinions. Game AI research can radically expand the expressiveness of games, supporting them in becoming a mainstream medium for societal discourse. These ideas will be illustrated by looking at two projects: the interactive drama Fa?ade (released July 2005, downloadable from and current work on automated game design support.

    Michael Mateas' research in AI-based art and entertainment combines science, engineering and design into an integrated practice that pushes the boundaries of the conceivable and possible in games and other interactive art forms. He is currently a faculty member in the Computer Science department at UC Santa Cruz, where he helped launch UCSC's game design degree, the first such degree offered in the UC system. Prior to Santa Cruz, Michael was a faculty member at The Georgia Institute of Technology, where he held a joint appointment in the College of Computing and the School of Literature, Communication and Culture, and founded the Experimental Game Lab. With Andrew Stern, Michael released Fa?ade, the world's first AI-based interactive drama in July 2005. Fa?ade has received numerous awards, including top honors at the Slamdance independent game festival (co-located with the Sundance film festival). Michael's current research interests include game AI, particularly character and story AI, ambient intelligence supporting non-task-based social experiences, and dynamic game generation. Michael has presented papers and exhibited artwork internationally including SIGGRAPH, the New York Digital Salon, AAAI, CHI, the Game Developers Conference, ISEA, AIIDE, the Carnegie Museum, and Te PaPa, the national museum of New Zealand. Michael received his Ph.D. in Computer Science from Carnegie Mellon University. Prior to CMU, Michael worked at Intel Laboratories, where he co-founded the ethnographic research group that eventually became People and Practices Research, and Tektronix Laboratories, where he developed qualitative design methodologies and built advanced interface prototypes.

  2. #2

    It’s All Fun and Games Until The Robot Wins

    Published on Oct 14, 2015

    In 1997, Russian chess grandmaster Garry Kasparov faced off against IBM’s Deep Blue computer for a rematch and lost. Now, developers are changing the way computers play games – they’re not just computing, they’re actually learning!

    Are there any games that humans are uniquely skilled to win? We want to hear what you have to say.

  3. #3

    The AI gaming revolution

    Published on Sep 14, 2016

    Artificial intelligences that play abstract, strategic board games have come a long way, but how do their "brains" work?

  4. #4

    Game theory: the science of decision-making

    Published on Sep 29, 2016

    With up to ten years in prison at stake, will Wanda rat Fred out? Game theory is looking at human interactions through the lens of mathematics.

  5. #5
    "Artificial Intelligence and Games"
    A Springer Textbook

    by Georgios N. Yannakakis and Julian Togelius

  6. #6

    This is epic A.I.s team up against humans

    Published on Nov 8, 2018

  7. #7

    This robot can beat you at Jenga

    Published on Feb 6, 2019

    Engineers at MIT taught a robotic arm the delicate game of Jenga. Also, how doctors can now get realistic sensations when they practice surgery in VR, and why self-driving cars could make your commute much worse.

    MIT robot learns how to play Jenga

    Published on Jan 30, 2019

    Using machine-learning and sensory hardware, Alberto Rodriguez, assistant professor of mechanical engineering, and members of MIT's MCube lab have developed a robot that is learning how to play the game Jenga®. The technology could be used in robots for manufacturing assembly lines.
    "MIT robot combines vision and touch to learn the game of Jenga"
    Machine-learning approach could help robots assemble cellphones and other small parts in a manufacturing line.

    by Jennifer Chu
    January 30, 2019

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