AI and Games

The first in a multi-part series of public lectures on AI in games. Recorded on 20th October 2014 at the University of Derby. In this first video, we detail some of the most interesting work in using video games as benchmarks within the AI research community. This is largely focussed on four competition benchmarks: - The Ms. Pac-Man Competition - The Mario AI Competition - The 2K BotPrize - The Starcraft AI Competition Full credit must be given to the following authors of videos used in this presentation: "Ms. Pac-Man AI - ICE Pambush 3" (RTNO1) https://www.youtube.com/watch?v=Zo0YujjX1PI "ICEP-IDDFS (Ms. Pac-Man) vs Memetix (Ghosts)" (RTNO1) https://www.youtube.com/watch?v=Zo0YujjX1PI "Infinite Mario AI - Long Level" (Robin Baumgarten) https://www.youtube.com/watch?v=DlkMs4ZHHr8 "Infinite Mario AI vs Hard Level" (UCSCweber) https://www.youtube.com/watch?v=V06nEHw70b4 "CIG 2010 Level Generator Entry" (UCSCweber) https://www.youtube.com/watch?v=8Eu8sRV2yd4&index=46 "BotPrize Video" (Sean Williams) https://www.youtube.com/watch?v=mUNfjMDhCpM "2012 AIIDE StarCraft AI Competition - Highlight Reel" (serendib7) https://www.youtube.com/watch?v=jYzSffdvvwo The remaining videos have all been crafted by myself. More videos and articles on work in Ms. Pac-Man and Super Mario can be found at the following links: "The Mario AI Competition": http://www.patreon.com/creation?hid=614578 "What's the Deal with Pac-Man?": http://www.patreon.com/creation?hid=614536 For those interested in a copy of the slides (without videos), they can be found at: https://t2thompson.files.wordpress.com/2015/02/part-1-ai-research-in-video-games-minus-video.pptx

In this second video of the public lecture series, we take a long, hard look at the Batman: Arkham series. Previously discussed in the 'Arkham Intelligence' video linked to below, this talk goes into the design ethos of the AI behind the Arkham games, with walkthroughs of gameplay and discussion of key design decisions made throughout development. This lecture was delivered at the University of Derby, UK on November 4th 2014. Special thanks to my colleague Dave Voorhis (University of Derby) for recording this session and to Alex Champandard (AIGameDev.com) and Tim Hanagan (Rocksteady Studios) for providing the basis of this lecture. For more on this series please check out my patreon at: www.patreon.com/ai_and_games The original Arkham Intelligence video can be found at: http://www.youtube.com/watch?v=Oz04rH542l8 No copyright is claimed for the game footage, images and music, to the extent that material may appear to be infringed, I assert that such alleged infringement is permissible under fair use principles in copyright laws. If you believe material has been used in an unauthorized manner, please contact me.

In this third video of the public lecture series, we investigate the work conducted by Jeff Orkin and the Monolith team when creating the AI of F.E.A.R: a first-person shooter series on PC, PS3 and Xbox 360. This talk gives an overview of the ideas behind classical planning systems in AI and the approach taken to adopt these techniques in the Goal Oriented Action Planning (GOAP) system. This lecture was delivered at the University of Derby, UK on November 17th 2014. Special thanks to my colleague Dave Voorhis (University of Derby) for recording this session and to Alex Champandard (AIGameDev.com), Eric Jacopin (Centre de recherche des écoles de Saint-Cyr Coëtquidan) and Jeff Orkin (Giant Otter, former Monolith developer) for providing the basis of this lecture. In addition, credit must be given to Matt Lees (and VideoGamer) for the user of "Xbox One Announcement - Abridged Version": https://www.youtube.com/watch?v=KOxdMQhDMIU And YouTube user SuperMarioGalaxy13 for his "Next Gen Technology" Video: https://www.youtube.com/watch?v=TMYso30L9zI For more on this series please check out my patreon at: www.patreon.com/ai_and_games The original 'Facing Your F.E.A.R.' video can be found at: https://youtu.be/BmOOrh5lq7o No copyright is claimed for the game footage, images and music, to the extent that material may appear to be infringed, I assert that such alleged infringement is permissible under fair use principles in copyright laws. If you believe material has been used in an unauthorized manner, please contact me.

http://aiandgames.com/in-the-directors-chair-left-4-dead-2/ @aiandgames www.patreon.com/ai_and_games -- In this final video of the first public lecture series, we take a look at the 'Director AI' behind Valve's online co-operative shooter Left 4 Dead. We explore not only how director AI differs from traditional work in non-player character development, but also explore this system actually works. We also have a special snippet of gameplay made just for this video, where we show you how you can play around with the director itself when playing Left 4 Dead. This lecture was delivered at the University of Derby, UK on December 1st 2014. Special thanks to my colleague Dave Voorhis (University of Derby) for recording this session and to Phil Lawson for providing technical support in getting this up and running. Please check out our crowd sponsor patreon to not only get early access to content, but also exclusive content and behind the scenes work at: www.patreon.com/ai_and_games The original 'Facing Your F.E.A.R.' video can be found at: https://youtu.be/BmOOrh5lq7o No copyright is claimed for the game footage, images and music, to the extent that material may appear to be infringed, I assert that such alleged infringement is permissible under fair use principles in copyright laws. If you believe material has been used in an unauthorized manner, please contact me.