How do complex, seemingly intelligent collective behaviors arise from simple, decentralized rules followed by individual agents? This paper explores the principles of swarm intelligence, examining examples from nature and their implications for AI and complex systems.
Abstract
Table of Contents
1. Introduction
From the intricate dances of starlings to the efficient foraging of ants, swarm intelligence demonstrates that remarkable complexity can emerge from simple interactions. This paper investigates the underlying mechanisms of this phenomenon and its relevance to understanding consciousness and building decentralized AI. This page is a placeholder and will be updated with more content soon.
1.1. Background
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1.2. Research Questions
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2. Methodology
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2.1. Data Collection
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2.2. Data Analysis
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3. Results
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4. Discussion
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5. Conclusion
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6. References
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- Author, A. A. (Year). Title of work. Publisher.
- Author, B. B. (Year). Title of article. Title of Periodical, volume number(issue number), pages.