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This software uses a genetic algorithm to "evolve" reactor designs for Schema's space-simulation game, Star-Made (http://star-made.org/). One of the more unique aspects of the game is that ship power management is not as simple as filling a cube with power generation blocks. This mechanism leads to difficulties in getting maximal power generation out of such reactors.
This program rectifies this issue by using a self-organizing variant of brute force search. Much of the search space is...
...To provide a set of agents that non-technical people can play around with and get a feel for how various AI techniques work.
CoffeeMudForAI goals
1. To provide a platform to study the non-robotic aspects of AI(AI Planning, inter-agent planning, muti-agent planning, Machinelearning, etc.)
2. To provide a game-like platform so people coming from the game AI world can contribute to AI research.
REPOSITORY MOVED TO GITHUB: https://github.com/happyjack27/SwarmWars
video sample: http://youtu.be/s5mLNbdBQGY
A game where you evolve & compete AI swarms.
The organisms use swarm intelligence & ant colony optimization. The organisms can communicate through 3-color signaling as well as by laying beacons. They can attack and repair other organisms. They can select mates, and they can gather and distribute food and material.
This behavior is controlled by a genetically evolved...
Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.
Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
OpenSkyNet - Moving towards a comprehensive artificial intelligence solution for game developers under the LGPL. The goals are to implement action selection solvers, robust steering behaviors (including pathfinding algorithms), and machinelearning.
Cerberus is a First Person Shooter Game that incorporates machinelearning techniques. The game utilizes Neural Networks to control fighting behavior and Reinforcement Learning to select high level tactics.