This is an academic university project that creates a social experiment simulator. Instead of using fixed mathematical formulas, it uses AI agents that can actually think and reason about cooperation and competition. Each AI agent has a personality type (generous, jealous, optimistic, pessimistic, or random) and builds a reputation over time based on their choices. You can watch as these agents interact in a network, seeing how some become trusted while others become isolated, all animated as colorful visual stories. The project generates graphs and animations showing how cooperation patterns emerge naturally from simple social interactions, like watching a digital society evolve in real-time.
How It Works
A student or researcher finds a university project that simulates how AI agents behave in social networks, deciding whether to cooperate or compete.
You download the simulation tool and place it in a folder on your computer, like organizing files for a science experiment.
You install some background tools that let the simulation create graphs, save data, and generate animations automatically.
You connect a thinking AI that will actually reason and make decisions like a human would in social situations, instead of following a fixed formula.
Use a thinking AI in the cloud for the full 10x10 grid simulation with 100 rounds of play
Run a free AI on your own computer for small test runs (5x5 grid, few rounds)
You press start and watch as thousands of AI agents think, decide, build reputation, and form social connections over multiple rounds.
Your project creates colorful animations showing how reputation spreads, how cooperation clusters form, and how social isolation emerges naturally.
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