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Habitat 2.0: Design Approach toward a trans-planetary multispecies settlement for coexistence.

05 September 2024, Version 1
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.
This item is a response to a research question in Biotechnology Design
Q. Bio-futures for transplanetary habitats

Abstract

This paper endeavors to explicate the intricate dynamics of multispecies coexistence within habitats, extending its purview from terrestrial to extraterrestrial realms. Encompassing a case study and algorithm based framework, the study integrates insights from architecture, urban planning, and bio-sciences, accentuating the imperatives of sustainable and autonomous habitats in the cosmos. Anchored in the nuanced behaviors of social animal communities, the research confronts the challenge of habitat formation and growth, encapsulating a fundamental assertion: Diverse species can cohesively sustain settlements in the extremities of extraterrestrial landscapes. The narrative unfolds through a meticulous literature review, dissecting urban morphologies, bio-spatial design, multispecies interactions, and the infusion of intelligence in urban frameworks. The methodological approach intertwines Agent-Based Modeling and bio-scientific foundations, culminating in algorithmic inquiries simulating habitat evolution and the emergence of delineated boundaries. Extrapolating discernments, the research underscores the paramount role of subjective and collective perceptions in fortifying the viability and enduring sustainability of habitats beyond Earth. The conclusion advocates a trajectory toward a trans-planetary future, advocating for ongoing research endeavors and ethical contemplation to facilitate a symbiotic cohabitation paradigm beyond terrestrial confines.

Keywords

Coexistence
Habitat Design
Perception
Umwelt
Multi-Species
Trans-planetary
Decision-making

Supplementary materials

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List of connection references
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List of connection references for the research with weblinks
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List of figures used in the research
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List of figures used in the research with numbers and descriptions.
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Figure 01
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Symbiotic relationship between leaf cutter ants and their fungus garden where the ants collect leaves to feed the fungus garden which in return acts as their food source.[Photo credits: A; Jarrod J. Scott, B; Christian R. Linder, used under the GNU Free Documentation License, Version 1.2, C; Austin D. Lynch.]
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Figure 02
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Boids as agents and Boids’ behaviors, properties and pseudocode. [Author’s own recreation from original C. Reynold’s article]
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Figure 03(a)
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Process of ant habitat modification due to environmental stimuli and their perception of pheromone and reading of the changes in the environment. [Author]
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Figure 03(b)
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Self organized colony growth of Phiedol Morissi ant colony based on resource alocation and simple rules of communal pathfinding. (Marianne peso, 2015)
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Figure 03(c)
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Different behaviors of the employed bees-an example of HIVE inte ligence in habitat design and development. (Aslan, 2019)
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Figure 04(a)
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Setting up the world with a static repulsion element with a catchment radius for agents [Author]
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Figure 04(b)
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The agents leaving trails and getting attracted towards two environmental attractor points on either side of the repulsion point creating two colonies[Author]
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Figure 04(c)
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The agents leaving trails and getting attracted towards two environmental attractor points on either side of the repulsion point and creates a bridge between the two colonies [Author]
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Figure 04(d)
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The emergent bridge demonstrated in 3D using Marching Cube Algorithm as a mode of expression [Author]
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Figure 05(a)
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Diagrammatic process of Gift Wrapping Algorithm or Graham Scan Algorithm.[Gift wrapping algorithms: Graham Scan | by Melanie I. | Medium]
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Figure 05(b)
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Diagrammatic process of Gift Wrapping Algorithm or Graham Scan Algorithm.[Gift wrapping algorithms: Graham Scan | by Melanie I. | Medium]
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Figure 06
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The movement and behavior of the agents with the resource points make the boundaries morph and take shape to accommodate the smallest area coverage which is observed from the sequential images (a), (b) and (c) of boundary changes. [Author]
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Figure 07(a)
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Flowcharts representing the logical approach to defining growth conditions within boundaries and understanding negotiation/cooperation principles between agents [Author]
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Figure 07(b)
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Flowcharts representing the logical approach to defining growth conditions within boundaries and understanding negotiation/cooperation principles between agents [Author]
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Figure 08
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Comparative spread and height of the agents’ growth within boundary interaction and emergent behavior [Author]
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