From Disorder to Design: Entropy-Driven Self-Organization in an Agent Based Swarming Model and Pattern Formation
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| Main Authors: | , , , |
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| Format: | Preprint |
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2025
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| _version_ | 1866909550059192320 |
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| author | Vijayan, Vinesh K, Karpagavalli J, Sandhiya Jenifer R, Prakash |
| author_facet | Vijayan, Vinesh K, Karpagavalli J, Sandhiya Jenifer R, Prakash |
| contents | This letter seeks to illuminate the profound connection between complexity, self-organization, emergent behaviour, pattern formation, and entropy concepts that are foundational to understanding our universe. By examining these ideas through the lenses of physics, information theory, and nonlinear dynamics, we uncover a fascinating narrative. Starting with a random cluster of particles possessing distinct internal properties, we activate their interactions and observe the emergence of intricate patterns over time. This journey reveals a transition from unlikely to more probable states. At extreme parameter values, the system showcases stunning patterns and turbulent motions remarkable emergent behaviour propelled by entropy and the dynamic exchange of mutual information. Engaging with probability theory helps us to unveil this intricate connectivity, demonstrating not only its significance but also its potential to reshape our understanding of complex systems. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2503_18401 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | From Disorder to Design: Entropy-Driven Self-Organization in an Agent Based Swarming Model and Pattern Formation Vijayan, Vinesh K, Karpagavalli J, Sandhiya Jenifer R, Prakash Adaptation and Self-Organizing Systems Pattern Formation and Solitons This letter seeks to illuminate the profound connection between complexity, self-organization, emergent behaviour, pattern formation, and entropy concepts that are foundational to understanding our universe. By examining these ideas through the lenses of physics, information theory, and nonlinear dynamics, we uncover a fascinating narrative. Starting with a random cluster of particles possessing distinct internal properties, we activate their interactions and observe the emergence of intricate patterns over time. This journey reveals a transition from unlikely to more probable states. At extreme parameter values, the system showcases stunning patterns and turbulent motions remarkable emergent behaviour propelled by entropy and the dynamic exchange of mutual information. Engaging with probability theory helps us to unveil this intricate connectivity, demonstrating not only its significance but also its potential to reshape our understanding of complex systems. |
| title | From Disorder to Design: Entropy-Driven Self-Organization in an Agent Based Swarming Model and Pattern Formation |
| topic | Adaptation and Self-Organizing Systems Pattern Formation and Solitons |
| url | https://arxiv.org/abs/2503.18401 |