Recent News
Omi Domini Now Available on Steam!
Featured Game: Trinity Overdrive Still my most involved project allowing me to direct, design, program, and balance the boss battles. Since then my skill has improved, but this game holds up as one of the few I was given the opportunity to make my own vision.
After receiving the DeLeonic Award for my work at Video Game Development club, I continue to work on projects and support the growing Nationally Acclaimed VGDev club format. I help complete up to 10 finished games a year while attending to my salary job.
1 year work anniversary to High-Voltage Software. We work closely with Epic Games to work on the hit game Fortnite!
Projects
x«Yomini-Domini
Steam Release
Development Time: 5 years
Project Team
Christopher Tansey: Game Director, Producer, Lead Programmer
Jordan Hobgood: Composer, Audio Programmer
Ryan McDougall: Sound Designer
Jamal Rhodes: 3D Modeler, Animator
Anna Robinson: Character Sprite Artist
Paul Loebs: Environment Sprite Artist
Yomi Domini is a finished project. A commercially launched product on steam. The first time as a Game Director.
Every member was scouted locally and managed by myself. Full controller support, Multi-threaded AI, and
data-driven AI are all sported in this action-adventure game.»
x«
Development Time: 2 days
Project Team
- Nick Shooter: Project Lead, Programming, Design
- Larry Smith: Art Lead, Level Design, Animation Programmer
- Jonathan Hunter: Lead Programmer, Level Design
- Christopher Tansey: Gameplay Programmer
- Tahri Turner: Gameplay Programmer
- Daniel Xiao: Gameplay Programmer
- Cheng Han: Gameplay Programmer
- Mitch Mclellan: Generalist Programmer
- Stephanie Chacon: 2D Art
- Brian Arnold: Music, Sound Design, Audio Engineer
»
x«BisonBot
Video Examples:
- Match Analysis:
https://www.youtube.com/watch?v=o5FdvG7n1aQ
- Full Playlist
https://www.youtube.com/playlist?list=PL16m8ntfkxvvVlwUMNefeE2WPKPz9t9kd
Press Releases:Bison Bot is a functional Street Fighter 4 Bot that can offer a competetive agent in the game controlling M.Bison.
The bot employs a series of different features to not overwhelm the opponent with superhuman capabilities. Instead it is designed to mimick a competetive player's physical and mental capabilities. To accomplish this, the bot uses a series of different cutting-edge experimental methods from both Knowledge-Based AI and Machine Learning. Currently Bison Bot's 3 main features include a Cognitive Vector AI, a Lattice Network Neural Net, several implementations of Metacognition.
The Lattice Network is a new ANN designed to suit Bison Bot's interaction with his opponent and create inferences. The ANN resembles a Hopfield-Tank ANN that works with the game states being handled on the edges of the neurons instead of the neurons themselves. Giving the ANN a greater capability to form combos while deciding which response is correct for the right time.
The Cognitive Vector AI is a new type of Expert System that represents possible Classifications of actions made by the opponent. The vectors of each Classification work as a human brain would as if divided among different layers of attention demanding action.Finally the Metacognition is designed to handle outside elements. Mistakes made by the inference method or the ANN can be corrected based on a series of different observations made by the bot. While observing the actions made by the opponent and observing adaptations to the fight, Bison Bot seeks to correct itself and adapt to the opponent's adaptation.
»
x«
Development Time: 2 Months
Project Team
- Sean Wheeler: Project Lead, Programming, Design, 2D Art
- Christopher Tansey: Boss Scenes Lead, Boss Programming, Boss Design & FX
- Jonathan Hunter: Lead Project Programmer, Level Design
- Jay Belmon: Lead Project Model Artist, 2D Art
- Kartik Kini: UI Design, System Programming, 2D Art
- Jordan Hobgood: BGM Composer
- Danny Gonzalez: Modelling, Texturing Larry Smith: Modelling, Textures
- Paco Swift: Modelling, Texturing
- Alex Freeman: Modelling, Texturing
- Dhruv Karunakaran: Modelling, Texturing
- Paul Askins: Concept Art, Background Art
- Kara Yogan: Logo, Graphics
- Taylor Andrews: Level Design
»
x«Zone of Inaccessibility
Development Time:
2 Months
Project Team
- Jon Tyson: Project Lead, Programming, Shader Art
- Christopher Tansey: Enemy Design, Enemy AI, Enemy Animation, Programming, Assisted Level Design
- Jordan Hobgood: Music Composition, Sound Engineer
- Daniel Dias: Level Modeler
- Erica Pramer: GUI Designer
- Jay Belmont: 3D Modeler
»
x«Stasis
Development Time:
2 Months
Project Team
- Eric Cook: Project Lead, Animation, Level Design, Art, Character Design
- Neal Kaviratna: Project Lead, Lead Programming, Level Design
- Christopher Tansey: Dynamic Data Management Programming
- Kartik Kini: UI Art & Design
- Priscilla Han: Character Design
- Maria Moersen: Background Art
- Courtney Hegener: Character Design
- Nicholas Shooter: BGM, Level Design
- Charles Lee: Character Design
- Larry Smith: BGM
- Robert McIndoe: General Programming
- Peilin Li: General Programming
»
x«Hollowloid
Development Time:
2 Days
Project Team
- Christopher Tansey: Project Designer, Animation, Programming
- Daniel Cook: Pixel Art
»
x«Stay Silent
Development Time:
2 months
Project Team
- Emma Hargrave: Project Lead
- Christopher Tansey: Monster Navigation AI
- Alissa Hartenbaum: 3D Modeling
- Jordan Hobgood: BGM
- Dhruv Karunakara: BGM, 3D Modeling
- Jay Belmont: Character Modeling
- Paul Askins: Concept Art
- Matthew Guzdial: Programming
»
x«MOBA AI
Development Time:
2 monthsProject Team
Christopher Tansey
To Run:
In the command line inside Moba Hero AI input: python runherocompetition.py MyHero BaselineHero3
I placed head of my graduate class in the final competetition of our MOBA AIs
A set of Artificial intelligent agents made in a MOBA environment. The MOBA engine is made from scratch in python. The agents minions are designed to form squad based strategy based on several game plans and states of the game meta (group up, attack base, defend, spread out, body block). The minions are made to form squads and squad actions to efficiently defeat the enemy squad in sight. The hero AI aims to conservatively level up, heal at base, challenge on good terms, bullet dodging, aoe, or fire gun. These AI do their best to destroy the enemy base and turrets while conserving their lives and navigating the map via a Dynamic A* Path Planner.»
x«Street Fighter Visualization
Made with Javascript
--May Require Mongoose web server to view--
To View:
1) Open the index.html file
This data visualization is an experimental visualization that allows a user to explore a set of Street Fighter games. Insight can be gained on characters, match ups, common win/loss conditions, and an overall examination of the metagame. The purpose is ultimately is the examination of a player's weaknesses, and also how the game develops when managing the balance of the game.
»
Contact Me
Christopher M. Tansey
ominous.gamedev@gmail.com
About Me
I look forward to pushing myself past higher standards when working on games to introduce the game in a way that fits the player. I work a little longer and a little harder each day when thinking of new ways to create AI that can suit the needs and adapt to the playstyle of any project lead or intended audience while still involving a general audience. I want to involve design and programming without discouraging those less skilled at video games, and still challenge those who look towards something greater. I dedicate my life to this balance.