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Predicting Victory in a Hybrid Online Competitive Game: The Case of Destiny
2021
Proceedings of the AAAI Artificial Intelligence and Interactive Digital Entertainment Conference
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Models achieve a performance between 63% and 99%in terms of average precision, with a higher performance recorded for the models trained on specific multi-player game modes, of which Destiny has several ...
Two groups of models are presented for predicting match results: One group predicts match results for each individual game mode and the other group predicts match results in general, without considering ...
Acknowledgements Part of this work was conducted in the Digital Creativity Labs (www.digitalcreativity.ac.uk), jointly funded by EP-SRC/AHRC/InnovateUK under grant no EP/M023265/1. ...
doi:10.1609/aiide.v13i1.12944
fatcat:ev4bvfatybhrff4vbpl3djtz2u
Bayesian Networks for Micromanagement Decision Imitation in the RTS Game Starcraft
[chapter]
2013
Lecture Notes in Computer Science
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A bayesian network is generated to fit the decisions taken by a player and then trained with information gather from the player's combat micromanagement. ...
Then, this network is implemented on the game in order to enhance the performance of the game's built-in Artificial Intelligence module. ...
We generated a series of tables that contains the probability distribution for a specific set of evidence on the game. ...
doi:10.1007/978-3-642-37798-3_38
fatcat:wrmf7cdagvhsjfrbh7nfffxy3q
League of Legends: Real-Time Result Prediction
[article]
2023
arXiv
pre-print
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This paper presents a study on the prediction of outcomes in matches of the electronic game League of Legends (LoL) using machine learning techniques. ...
On the other hand, the Logistic Regression and Gradient Boosting models proved to be more effective in early stages of the game, with promising results. ...
This data was used to develop a model that accurately predicts over 62% of matches and estimates the probability of a team's victory in a given game.
B. ...
arXiv:2309.02449v1
fatcat:mokjsqxlkjb2zfxop6ljhwi45m
Trouncing in Dota 2: An Investigation of Blowout Matches
2020
Artificial Intelligence and Interactive Digital Entertainment Conference
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Understanding which factors lead to a victory in a blowout match is useful knowledge for players who wish to improve their chances of winning and for improving the accuracy of recommendation systems for ...
We study 55,287 past professional Dota 2 matches to (1) investigate how accurately we can predict victory using only pre-match features and (2) explain the factors that are correlated with the victory. ...
Prior works provided prediction models for different types of games. Ravari, Bakkes, and Spronck (2016) built several models to predict the winner in StarCraft. ...
dblp:conf/aiide/ViggiatoB20
fatcat:2pnj3jwp4rgwphcienadt5wns4
What is the identity of a sports spectator?
2012
Personality and Individual Differences
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These individuals also engage more in complementary pastime activities, including participating in sports and exercise activities, watching TV/movies, and playing video games. ...
and autism), personality traits (e.g., NEO "Big Five"), and pastime activities (e.g., video game playing). ...
Acknowledgements For helpful conversation on the methods and analyses in this research we thank Mark Appelbaum and Stephen Adamo. ...
doi:10.1016/j.paid.2011.10.048
fatcat:siiri2o2fvcy3mxwebocsqe35m
Beyond playing to win: Diversifying heuristics for GVGAI
2017
2017 IEEE Conference on Computational Intelligence and Games (CIG)
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General Video Game Playing (GVGP) algorithms are usually focused on winning and maximizing score but combining different objectives could turn out to be a solution that has not been deeply investigated ...
different elements presented in the game (and interactions with them) and maximizing the acquisition of knowledge in order to accurately estimate the outcome of each possible interaction. ...
ACKNOWLEDGMENT This work was funded by the EPSRC CDT in Intelligent Games and Game Intelligence (IGGI) EP/L015846/1. ...
doi:10.1109/cig.2017.8080424
dblp:conf/cig/Guerrero-Romero17
fatcat:kc77ewn6ifaodlp46irij5tef4
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
[article]
2019
arXiv
pre-print
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In 2014, The General Video Game AI (GVGAI) competition framework was created and released with the purpose of providing researchers a common open-source and easy to use platform for testing their AI methods ...
General Video Game Playing (GVGP) aims at designing an agent that is capable of playing multiple video games with no human intervention. ...
ACKNOWLEDGEMENTS The authors would like to thank the participants of all tracks of the competition for their work and submitted controllers and generators. ...
arXiv:1802.10363v4
fatcat:jfypsvyzszg2jjxyqhjfansxdq
Editorial: Video Games as Demanding Technologies
2019
Media and Communication
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From the middle-20th century to today, video games have grown from an idiosyncratic interest of computer programmers and engineers to a globally dominant form of media entertainment. ...
Advances in technology and creativity have combined to present players with interactive experience that vary in their cognitive, emotional, physical, and social complexity. ...
I am also indebted to the many faculty and students in the TTU College of Media and Communication Research Nexus, for their ongoing support of this research. ...
doi:10.17645/mac.v7i4.2684
fatcat:pfnnhpxx4je3bbf7uv4y4zdr2m
Finding epic moments in live content through deep learning on collective decisions
2021
EPJ Data Science
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The current study identifies enjoyable moments in user-generated live video content by examining the audiences' collective evaluation of its epicness. ...
To retain existing viewers and attract newcomers, streamers and fans often create a well-condensed summary of the streamed content. ...
The expert-selected suggestions were more likely to contain victorious game moments in contrast. ...
doi:10.1140/epjds/s13688-021-00295-6
fatcat:sjuoj2chpbalzhstzhicipbhfe
Sports Data Mining: Predicting Results for the College Football Games
2014
Procedia Computer Science
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Our approach makes predictions based on a combination of four different measures on the historical results of the games. ...
In many real-life sports games, spectators are interested in predicting the outcomes and watching the games to verify their predictions. ...
Acknowledgements This project is partially supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and the University of Manitoba. ...
doi:10.1016/j.procs.2014.08.153
fatcat:cwk2axvudfbrvevusqelf5pzre
Extending the Strada Framework to Design an AI for ORTS
[chapter]
2009
Lecture Notes in Computer Science
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Strategy games constitute a significant challenge for game AI, as they involve a large number of states, agents and actions. ...
Many commercial strategy games use scripts in order to simulate intelligence, combined with knowledge which is in principle not accessible to human players, such as the position of the enemy base or the ...
Background The goal of the STRADA framework [2] was to propose a generic model for the automatic generation of adaptive strategic behaviors in strategy games. ...
doi:10.1007/978-3-642-04052-8_32
fatcat:3knpqcwipfdubitqmrorbhvojm
Imitative learning for real-time strategy games
2012
2012 IEEE Conference on Computational Intelligence and Games (CIG)
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In this paper, we attempt to break the barrier between video game AI and machine learning and propose a generic method allowing real-time strategy (RTS) agents to learn production strategies from a set ...
Tasks such as world exploration, constrained pathfinding or team tactics and coordination just to name a few are now default requirements for contemporary video games. ...
REAL-TIME STRATEGY In a typical RTS game, players confront each other on a specific map. The map is essentially defined by a combination of terrain configuration and resource fields. ...
doi:10.1109/cig.2012.6374186
dblp:conf/cig/GemineSFE12
fatcat:rsp5rqtra5c4ferknecmkgchl4
The design of narrative as an immersive simulation
2005
Conference of the Digital Games Research Association
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This paper proposes a concept of narrative as the design of an immersive simulation to be experienced by the interactor in a video game. ...
We believe the combination of these two features allows for the emergence of a new and promising narrative game format. ...
Playing consists in modeling it, trying to infer the rules behind it in a way to control the game more precisely, although likely never in a fully predictable way. ...
dblp:conf/digra/Gomes05
fatcat:ncfqw47yqrgthl6etgwf3s65zu
Good gamers, good managers? A proof-of-concept study with Sid Meier's Civilization
2020
Review of Managerial Science
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Under controlled laboratory conditions, we asked forty business students to play the Civilization game and to participate in a series of assessment exercises. ...
In addition, a preliminary analysis of in-game data, including players' interactions and chat messages, suggests that strategy games such as Civilization may be used for more precise and holistic "stealth ...
Accordingly, video games may not only be used to assess specific skills but could also be useful to predict performance at a more general level. ...
doi:10.1007/s11846-020-00378-0
fatcat:mz32tg7g25hgbfnpxhedfoyo5y
Regional differences in brain volume predict the acquisition of skill in a complex real-time strategy videogame
2011
Brain and Cognition
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the acquisition of skill in complex tasks, such as strategy-based video games. ...
Thus, regional differences in brain volume can predict learning in complex tasks that entail the use of a variety of perceptual, cognitive and motor processes. ...
All appropriate university guidelines were followed in the treatment of human participants. ...
doi:10.1016/j.bandc.2011.03.017
pmid:21546146
pmcid:PMC4955609
fatcat:r33q6moqurhdlemioc6fl3pspy
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