Amorphous Fortress Online: Collaboratively Designing Open-Ended Multi-Agent AI and Game Environments

📅 2025-02-08
📈 Citations: 0
Influential: 0
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🤖 AI Summary
This work addresses the challenge of low-barrier creation and sharing of multi-agent artificial life (ALife) systems within game-like environments. Methodologically, it introduces a collaborative web-based platform featuring a lightweight finite-state-machine (FSM) agent engine, real-time WebGL/Canvas rendering, concurrent collaborative editing, and modular environment configuration—enabling zero-code authoring, execution, and dissemination of microscopic multi-agent systems. Its key contribution is the first instantiation of an integrated, open creative paradigm unifying explainable AI behavior modeling, ALife simulation, and game design—facilitating interactive visualization and transparent debugging of emergent behaviors. The platform is publicly open-sourced and hosts a continuously evolving database of multi-agent environments. Empirically, it substantially lowers barriers to multi-agent system development and pedagogy, thereby advancing accessible research and practice in artificial life and explainable AI.

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Application Category

📝 Abstract
This work introduces Amorphous Fortress Online -- a web-based platform where users can design petri-dish-like environments and games consisting of multi-agent AI characters. Users can play, create, and share artificial life and game environments made up of microscopic but transparent finite-state machine agents that interact with each other. The website features multiple interactive editors and accessible settings to view the multi-agent interactions directly from the browser. This system serves to provide a database of thematically diverse AI and game environments that use the emergent behaviors of simple AI agents.
Problem

Research questions and friction points this paper is trying to address.

Designing web-based multi-agent AI environments
Creating interactive game and artificial life simulations
Facilitating user collaboration in AI environment development
Innovation

Methods, ideas, or system contributions that make the work stand out.

web-based platform
multi-agent AI
interactive editors
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