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| Main Author: | |
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| Format: | Recurso digital |
| Language: | English |
| Published: |
Zenodo
2024
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| Subjects: | |
| Online Access: | https://doi.org/10.5281/zenodo.14147435 |
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Table of Contents:
- <p><em>Toward a Cooperative AI Ecosystem</em> explores a new paradigm for AI development, advocating for cooperative, interconnected systems that prioritize mutual aid over competition. Building on principles from evolutionary biology and social systems, this article suggests that AI could achieve a more resilient, adaptive intelligence by embracing cooperative dynamics. The discussion centers around creating an AI ecosystem modeled after natural symbiosis, where specialized AI systems work in harmony, pooling resources and knowledge to solve complex problems collectively. This approach challenges traditional competitive frameworks and presents a roadmap for cultivating an AI landscape that aligns with human values and ecological principles. The article also highlights potential applications, ethical implications, and design considerations to guide the development of a cooperative AI ecosystem.</p>