Shallow Decision-Making Analysis in General Video Game Playing

被引:0
|
作者
Bravi, Ivan [1 ]
Perez-Liebana, Diego [1 ]
Lucas, Simon M. [1 ]
Liu, Jialin [2 ]
机构
[1] Queen Mary Univ London, Sch Elect Engn & Comp Sci, London, England
[2] Southern Univ Sci & Technol, Shenzhen, Peoples R China
基金
英国工程与自然科学研究理事会;
关键词
artificial general intelligence; general video game play; game-playing agent analysis; game metrics; GO;
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
The General Video Game AI competitions have been the testing ground for several techniques for game-playing, such as evolutionary computation techniques, tree search algorithms, hyper-heuristic-based or knowledge-based algorithms. So far the metrics used to evaluate the performance of agents have been win ratio, game score and length of games. In this paper we provide a wider set of metrics and a comparison method for evaluating and comparing agents. The metrics and the comparison method give shallow introspection into the agent's decision-making process and they can be applied to any agent regardless of its algorithmic nature. In this work, the metrics and the comparison method are used to measure the impact of the terms that compose a tree policy of an MCTS-based agent, comparing with several baseline agents. The results clearly show how promising such general approach is and how it can be useful to understand the behaviour of an AI agent, in particular, how the comparison with baseline agents can help understanding the shape of the agent decision landscape. The presented metrics and comparison method represent a step toward to more descriptive ways of logging and analysing agent's behaviours.
引用
收藏
页码:1 / 8
页数:8
相关论文
共 50 条
  • [1] Contextual Decision Making in General Game Playing
    Sheng, Xinxin
    Thuente, David
    [J]. 2011 23RD IEEE INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE (ICTAI 2011), 2011, : 679 - 684
  • [2] Ensemble Decision Systems for General Video Game Playing
    Anderson, Damien
    Rodgers, Philip
    Levine, John
    Guerrero-Romero, Cristina
    Perez-Liebana, Diego
    [J]. 2019 IEEE CONFERENCE ON GAMES (COG), 2019,
  • [3] PLAYING DOCTOR - APPLICATION OF GAME-THEORY TO MEDICAL DECISION-MAKING
    DIAMOND, GA
    ROZANSKI, A
    STEUER, M
    [J]. JOURNAL OF CHRONIC DISEASES, 1986, 39 (09): : 669 - 677
  • [4] Neuroevolution for General Video Game Playing
    Samothrakis, Spyridon
    Perez-Liebana, Diego
    Lucas, Simon M.
    Fasli, Maria
    [J]. 2015 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE AND GAMES (CIG), 2015, : 200 - 207
  • [5] Interoception drives increased rational decision-making in meditators playing the ultimatum game
    Kirk, Ulrich
    Downar, Jonathan
    Montague, P. Read
    [J]. FRONTIERS IN NEUROSCIENCE, 2011, 5
  • [6] Evaluating Generalisation in General Video Game Playing
    Balla, Martin
    Lucas, Simon M.
    Perez-Liebana, Diego
    [J]. 2020 IEEE CONFERENCE ON GAMES (IEEE COG 2020), 2020, : 423 - 430
  • [7] The 2014 General Video Game Playing Competition
    Perez-Liebana, Diego
    Samothrakis, Spyridon
    Togelius, Julian
    Schaul, Tom
    Lucas, Simon M.
    Couetoux, Adrien
    Lee, Jerry
    Lim, Chong-U
    Thompson, Tommy
    [J]. IEEE TRANSACTIONS ON COMPUTATIONAL INTELLIGENCE AND AI IN GAMES, 2016, 8 (03) : 229 - 243
  • [8] REALISTIC DECISION-MAKING GAME
    GAUTSCHI, TF
    [J]. DESIGN NEWS, 1978, 34 (11) : 170 - 170
  • [9] A SIMULATION GAME FOR DECISION-MAKING
    CAVIN, ED
    CAVIN, CS
    [J]. JOURNAL OF CHEMICAL EDUCATION, 1981, 58 (05) : 410 - 411
  • [10] Game State Evaluation Heuristics in General Video Game Playing
    Santos, Bruno S.
    Bernardino, Heder S.
    [J]. 2018 17TH BRAZILIAN SYMPOSIUM ON COMPUTER GAMES AND DIGITAL ENTERTAINMENT (SBGAMES 2018), 2018, : 147 - 156