Minimum-Cost Path Selection Under Constraint: A Cross-Domain Principle
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| Natura: | Recurso digital |
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2026
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| _version_ | 1866901679772794880 |
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| author | Doumbouya, Lisa Michelle |
| author_facet | Doumbouya, Lisa Michelle |
| contents | <p>This work proposes a general structural principle governing behaviour across physical, biological, and complex systems: systems resolve behaviour through the selection of minimum-cost pathways within a constrained space of admissible configurations.</p> <p>Rather than treating behaviour as arbitrary, stochastic, or domain-specific, this framework situates behaviour as an emergent outcome of three interacting components:</p> <ul> <li>constraint, which defines the space of possible configurations</li> <li>cost, which defines the relative favourability of available pathways</li> <li>selection, which determines the realised trajectory</li> </ul> <p>Under this formulation, observed behaviours—ranging from physical optimisation (e.g. least action) to biological strategies (e.g. predation and foraging)—are unified as instances of cost-minimising path selection under constraint.</p> <p>The framework further explains:</p> <ul> <li>stability as repeated selection of low-cost pathways</li> <li>behavioural variability as shifts in constraint and cost landscapes</li> <li>abrupt or extreme behaviour as transitions to higher-cost admissible paths when preferred pathways are restricted</li> </ul> <p>This work builds on prior structure-first formulations of awareness, accessibility, and resolution, extending them into a general model of behavioural selection and system evolution.</p> <p>The result is a cross-domain principle that provides a structural basis for understanding optimisation, adaptation, and regime transitions without reliance on domain-specific assumptions.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19562488 |
| institution | Zenodo |
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| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Minimum-Cost Path Selection Under Constraint: A Cross-Domain Principle Doumbouya, Lisa Michelle constraint cost landscape path selection optimisation complex systems behavioural dynamics regime transistions structural physics emegence accessibility <p>This work proposes a general structural principle governing behaviour across physical, biological, and complex systems: systems resolve behaviour through the selection of minimum-cost pathways within a constrained space of admissible configurations.</p> <p>Rather than treating behaviour as arbitrary, stochastic, or domain-specific, this framework situates behaviour as an emergent outcome of three interacting components:</p> <ul> <li>constraint, which defines the space of possible configurations</li> <li>cost, which defines the relative favourability of available pathways</li> <li>selection, which determines the realised trajectory</li> </ul> <p>Under this formulation, observed behaviours—ranging from physical optimisation (e.g. least action) to biological strategies (e.g. predation and foraging)—are unified as instances of cost-minimising path selection under constraint.</p> <p>The framework further explains:</p> <ul> <li>stability as repeated selection of low-cost pathways</li> <li>behavioural variability as shifts in constraint and cost landscapes</li> <li>abrupt or extreme behaviour as transitions to higher-cost admissible paths when preferred pathways are restricted</li> </ul> <p>This work builds on prior structure-first formulations of awareness, accessibility, and resolution, extending them into a general model of behavioural selection and system evolution.</p> <p>The result is a cross-domain principle that provides a structural basis for understanding optimisation, adaptation, and regime transitions without reliance on domain-specific assumptions.</p> |
| title | Minimum-Cost Path Selection Under Constraint: A Cross-Domain Principle |
| topic | constraint cost landscape path selection optimisation complex systems behavioural dynamics regime transistions structural physics emegence accessibility |
| url | https://doi.org/10.5281/zenodo.19562488 |