- Artificial Intelligence and Life in 2030: : "The One Hundred Year Study on Artificial Intelligence, launched in the fall of 2014, is a longterm investigation of the field of Artificial Intelligence (AI) and its influences on people, their communities, and society."
- (Youtube) Filipe Deschamps - Qual a diferença entre Inteligência Artificial, Machine Learning, Data Science, Deep Learning, etc?
- (Youtube) UNIVESP Profa. Renata Wassermann - Inteligência Artificial - Introdução à Inteligência Artificial - Visão Geral da área
- (Youtube) Dialogos na USP - Inteligencia Artificial (Bloco 1)
- (Youtube) Dialogos na USP - Inteligencia Artificial (Bloco 2)
- (Youtube) Discovery Brasil - Inteligência Artificial - IBM
- (Youtube) Nerdologia - Ultron e a revolução da inteligência artificial
- (Youtube) Nerdologia - Robôs vão tomar o seu emprego? Automatização do trabalho
- (Wikibook) Artificial Intelligence
- (Medium) Rational Agents for Artificial Intelligence
- (Youtube) DeepMind - The Role of Multi-Agent Learning in Artificial Intelligence Research
- (Youtube) UNIVESP Profa. Renata Wassermann - Inteligência Artificial - Resolução de Problemas através de Busca
- (Site Interativo) AIMA Javascript - Solving Problems by Searching
- (Site) Ray Toal - Notes on Problem Solving
- (Youtube) Floor Coverage Lab Test | Roomba® | iRobot®
- (Wikipedia) Maze generation algorithm
- (Site) Breadth-First Search Part 1 - Coding Challenge #68.1 · The Coding Train
- (Site) Breadth-First Search Part 2 - Coding Challenge #68.2 · The Coding Train
- (Youtube) MIT OpenCourseWare - 13. Breadth-First Search (BFS)
- [TODO] Wikipedia dos Patinhos de Borracha
- (Site) Coding Train - A* Pathfinding Algorithm - Part 1
- (Site) Coding Train - A* Pathfinding Algorithm - Part 2
- (Site) Coding Train - A* Pathfinding Algorithm - Part 3
- https://algorithm-visualizer.org/brute-force/depth-first-search
- https://clementmihailescu.github.io/Pathfinding-Visualizer/
- https://github.com/filipecalegario/inteligencia-artificial
- https://github.com/pedrohcaminha/Projetos-UFPE-CC
- https://qiao.github.io/PathFinding.js/visual/
- https://www.youtube.com/watch?v=NUgMa5coCoE
- https://www.youtube.com/watch?v=x-VTfcmrLEQ
- https://www.youtube.com/watch?v=GC-nBgi9r0U
- https://www.youtube.com/watch?v=ySN5Wnu88nE
- https://www.youtube.com/watch?v=19h1g22hby8
- https://youtu.be/1-YPj5Vt0oQ
- https://www.youtube.com/watch?v=g024lzsknDo
- https://www.youtube.com/watch?v=XyoucHYKYSE
- https://www.toptal.com/developers/sorting-algorithms
- https://www.cs.usfca.edu/~galles/visualization/ComparisonSort.html
- https://www.youtube.com/watch?v=dv1m3L6QXWs
- https://qiao.github.io/PathFinding.js/visual/
- https://www.cs.usfca.edu/~galles/visualization/Search.html
- https://visualgo.net/pt
- https://algorithm-visualizer.org/brute-force/depth-first-search
- http://aimacode.github.io/aima-javascript/3-Solving-Problems-By-Searching/
- https://www.redblobgames.com/pathfinding/a-star/introduction.html
- https://pathfindout.com/
- https://visualgo.net/en
This game is connected to the world, all players are sharing their best cars each game round. Only the dominant cars win. The TOP car from each player in the world is added to your car list each game cycle. This car is therefore added to your gene pool and is then genetically spliced and paired with your other cars.
The program uses a simple genetic algorithm to evolve random two-wheeled shapes into cars over generations. Loosely based on BoxCar2D, but written from scratch, only using the same physics engine ( box2d). seedrandom.js written by David Bau. (thanks!) Save Population Saves current population locally. Restore Saved Population Restore a previously saved population.
Use joints, bones and muscles to build creatures that are only limited by your imagination. Watch how the combination of a neural network and a genetic algorithm can enable your creatures to "learn" and improve at their given tasks all on their own. The tasks include running, jumping and climbing.