AI World Model
(Redirected from World Representation System)
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A AI World Model is an AI model that represents physical environments and world dynamics for simulation tasks and robotics applications.
- AKA: World Model, AI Physics Simulator, Environmental AI Model, World Representation System.
- Context:
- It can typically generate Interactive 3D Environments from text prompts through diffusion-based generation.
- It can typically simulate Intuitive Physics including object permanence, gravity effects, and collision dynamics.
- It can typically support Robotics Applications through physical prediction and action planning.
- It can often enable Video Game Environments with realistic physics and dynamic interactions.
- It can often learn Physical Laws from video data without explicit programming.
- It can range from being a Simple Physics Model to being a Complex Multi-Physics Model, depending on its simulation fidelity.
- It can range from being a 2D World Model to being a 3D World Model, depending on its spatial dimensions.
- It can range from being a Discrete-Time Model to being a Continuous-Time Model, depending on its temporal resolution.
- It can range from being a Single-Agent World Model to being a Multi-Agent World Model, depending on its entity capacity.
- ...
- Examples:
- Text-to-World Models, such as:
- Video World Models, such as:
- Robotics World Models, such as:
- ...
- Counter-Examples:
- Static Scene Model, which lacks temporal dynamics.
- 2D Image Model, which lacks 3D understanding.
- Text-Only Model, which lacks visual grounding.
- See: World Model, Physics Simulation Model, Environmental Model, Multimodal Model, Vision-Language-Action Model, Genie World Model, Intuitive Physics Understanding Task, AI-Driven Scientific Discovery System, Hybrid AI Model.