Zodiac is an artificial intelligence learning game developed with NYU CREATE that focuses on foundational AI concepts. Players apply search strategies and heuristics to solve challenges while observing how algorithms improve through iteration.
Zodiac is an artificial intelligence learning game developed with NYU CREATE that focuses on foundational AI concepts through turn-based strategy play. Players apply search strategies and heuristics to solve challenges while observing how algorithms improve through iteration and information gathering. This simulation allows players to experiment with decision-making frameworks to understand how AI systems evaluate and prioritize data.
Artificial Intelligence (AI) Search Strategies, Heuristic Optimization, Algorithmic Improvement, Logic
Plan and execute moves within structured gameplay scenarios.
Use uninformed and informed search methods to reach goals.
Adjust decision rules to improve algorithm efficiency.
See how systems perform better as they gather information over time.
Artificial intelligence concepts can be abstract without practical examples. Zodiac helps learners understand search and optimization strategies by embedding them in interactive gameplay where algorithm choices directly affect outcomes.
If you’re exploring educational games, digital learning tools, or interactive simulations, Filament Games can help you design and build experiences that deliver measurable impact.
Start a project
Mission to the Mesozoic is a learning game developed for the Field Museum that teaches adolescents about the Triassic, Jurassic, and Cretaceous periods. Players travel between eras as photographers, analyzing plants, animals, and environments to understand how they are connected.
Explore →
Toad Road is a physical science learning game developed with Twin Cities PBS that focuses on how material properties affect function. Players select and place bridges made from different materials to help characters cross obstacles.
Explore →
