synergies between robots and games · 2020. 9. 16. · travian . robotics: strengths ! better...

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Synergies Between Robots and Games Gita Sukthankar [email protected]

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  • Synergies Between Robots and Games

    Gita Sukthankar [email protected]

  • Motivation

    http://images.google.com/q=multi-robot+systems

    UT3

    Travian

  • Robotics: Strengths

    n  Better formal representations of the physical world

    n  More autonomous planning rather than reliance on scripting

    n  Belief in the power of integrating machine learning algorithms

    Robotics on CFP at the AAAI Conference on AI and Interactive Digital Entertainment (2012 and 2013)

  • Games: Human-Centered Design

    Making experiences fun rather than frustrating Dynamic difficulty

    adjustment

  • Games tell Stories

    The power of narrative and character development

  • Games: Intuitive Control

    Dedicated but impatient user base seeks fast control

  • Games: Modeling Group Behavior

    Studying individual communication and trade patterns reveals hidden social structures

  • Predic'ng  Guild  Membership  in  Massively  Mul'player  Online  GamesHamidreza  Alvari1,  Kiran  Lakkaraju2  ,  Gita  Sukthankar1  ,  and  Jon  Whetzel2    1  University  of  Central  Florida,  Orlando,  Florida2  Sandia  Na'onal  Labs,  Albuquerque,  New  Mexico

    Join  

    Leave  

    Switch  

    No  Ac1on  

    Rela1ve  Contribu1on  

    Social  Ties  

    Skill  Homophily  

    Exis1ng  guild  

    informa1on  

    ?  

    Guild  predic1on  is  more  accurate  when  seeded  with  a  few  highly  central  members  rather  than  larger  numbers  of  less  influen1al.  

  • Future: Robots, Agents, and People

    n  Future: scaling up not only the robots but the number of people dealing with the same robots.

    n  Less focus on point-to-point interaction n  Social network and modeling techniques developed for

    game analytics may be helpful in understanding the holistic system operation.

    n  Call to action: ¨  More public datasets ¨  More shared testbeds for running experiments

  • Intelligent Agents Lab

    http://ial.eecs.ucf.edu/ Ph.D. Students n  Hamidreza Alvari n  Rahmatollah Beheshti n  Erfan Davami n  Alireza Hajibagheri n  Astrid Jackson Alumni Bulent Tastan (Amazon), Ken Laviers (SRSU), JT Folsom-Kovarik (SoarTech), Fahad Shah (Microsoft), Bennie Lewis (Lockheed Martin), Mahsa Maghami (Microsoft), Yuan Chang (Google), Xi Wang (Sonobi) Sponsors: AFOSR YIP, NSF CAREER, DARPA CSSP