Information bound on navigation speed in smart active matter
Fuente:
arXiv
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| Autores principales: | , , |
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| Formato: | Preprint |
| Publicado: |
2026
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| Acceso en línea: | |
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| _version_ | 1866908855836868608 |
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| author | Olsen, Kristian Stølevik Tarama, Mitsusuke Löwen, Hartmut |
| author_facet | Olsen, Kristian Stølevik Tarama, Mitsusuke Löwen, Hartmut |
| contents | Intelligent behavior in life-like systems often arises from the ability to gather, process, and act on information. While active matter provides a framework for studying life-like dynamics, it typically omits internal information-processing and decision-making. Here we introduce an adaptive active particle model that uses minimal information processing capabilities in order to navigate towards a distant target. By combining renewal-based intermittent motion with the Cramér-Rao inequality, we derive a bound on the navigation speed valid for a wide range of information processing strategies. The framework captures hallmark features of cognitive systems, including optimal sensing durations and a speed-accuracy trade-off that balances noise and reliability. Allowing stored information to degrade before action reveals that although deterioration slows navigation, the trade-off remains governed primarily by external orientational noise and is remarkably insensitive to memory decay. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2602_23988 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Information bound on navigation speed in smart active matter Olsen, Kristian Stølevik Tarama, Mitsusuke Löwen, Hartmut Statistical Mechanics Soft Condensed Matter Intelligent behavior in life-like systems often arises from the ability to gather, process, and act on information. While active matter provides a framework for studying life-like dynamics, it typically omits internal information-processing and decision-making. Here we introduce an adaptive active particle model that uses minimal information processing capabilities in order to navigate towards a distant target. By combining renewal-based intermittent motion with the Cramér-Rao inequality, we derive a bound on the navigation speed valid for a wide range of information processing strategies. The framework captures hallmark features of cognitive systems, including optimal sensing durations and a speed-accuracy trade-off that balances noise and reliability. Allowing stored information to degrade before action reveals that although deterioration slows navigation, the trade-off remains governed primarily by external orientational noise and is remarkably insensitive to memory decay. |
| title | Information bound on navigation speed in smart active matter |
| topic | Statistical Mechanics Soft Condensed Matter |
| url | https://arxiv.org/abs/2602.23988 |