Summary of Modeling Sustainable Resource Management Using Active Inference, by Mahault Albarracin et al.
Modeling Sustainable Resource Management using Active Inference
by Mahault Albarracin, Ines Hipolito, Maria Raffa, Paul Kinghorn
First submitted to arxiv on: 11 Jun 2024
Categories
- Main: Artificial Intelligence (cs.AI)
- Secondary: None
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary This paper presents a computational model that simulates an agent learning to manage resources sustainably in both static and dynamic environments using the principles of active inference. The agent’s behavior emerges from optimizing its own well-being, represented by prior preferences, subject to beliefs about environmental dynamics. In a static environment, the agent learns to consistently consume resources to satisfy its needs, while in a dynamic environment where resources deplete and replenish based on the agent’s actions, it adapts its behavior to balance immediate needs with long-term resource availability. The model demonstrates how active inference can give rise to sustainable and resilient behaviors in the face of changing environmental conditions. The authors discuss the implications of their work, its limitations, and suggest future directions for integrating more complex agent-environment interactions. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper creates a computer model that shows an “agent” learning to manage resources in different situations. The agent tries to be happy while following rules about how the environment works. In one scenario, the agent uses up resources until it’s satisfied. In another, where resources change based on the agent’s actions, it figures out how to balance what it needs now with what it might need later. The researchers used a method called “active inference” to make this happen. This can help us understand and improve how people or machines behave sustainably in changing environments. |
Keywords
» Artificial intelligence » Inference
