Myceloom: The Interface Architecture of Living Systems

A Digital Archaeological Investigation

Protocol Specification — A Digital Archaeological Investigation

Josie Jefferson & Felix Velasco
Digital Archaeologists, Unearth Heritage Foundry

with Technical Collaboration from:
Claude 4.5 (Opus & Sonnet) & Gemini (2.5 & 3 Pro)
(Synthetic Intelligence Systems)

Date: January 2026
Version: 1.0
Publication Type: Protocol Specification / Working Paper
Series: The Myceloom Protocol (Part 3 of 8) DOI:https://doi.org/10.5281/zenodo.18344313

Keywords: Myceloom, Interface Design, API Architecture, Biological Interfaces, Platform Ecosystems, Boundary Resources, Spore Dispersal, Warp and Weft, Adaptive Interfaces, Collaborative Systems


Abstract

Traditional APIs connect systems; mycelial networks collaborate. This protocol specification defines myceloom as an interface paradigm moving beyond rigid protocols, adopting principles of living, adaptive biological interfaces to build genuinely collaborative digital ecosystems. Drawing from peer-reviewed research across mycology, molecular biology, and platform studies, this specification validates the Weaving Interface model distinguishing between Warp (immutable structural protocols) and Weft (adaptive varied interfaces). Biological systems solve the "rigidity vs. flexibility" trade-off not by compromising, but by separating the warp of transmission from the weft of expression. This specification establishes the Interface layer of the Myceloom Protocol, defining how systems can weave stable infrastructure with infinite creative variation.


Introduction: Beyond Connection Toward Collaboration

Developers and builders face a core challenge: how to create interfaces enabling genuine collaboration rather than mere connection. Traditional API architectures treat systems as isolated entities occasionally exchanging data, operating through rigid protocols that constrain rather than enhance creative potential. Yet biological networks exchange information through entirely different principles: dynamic, adaptive interfaces enabling emergent collaboration across species boundaries.

Beneath the forest floor, mycelial networks demonstrate the most sophisticated interface architecture ever evolved. These fungal systems facilitate seamless information and resource exchange between disparate organisms through "living APIs"; biological interfaces adapting in real-time to network participant needs.1 Unlike digital protocols requiring predetermined specifications, mycelial interfaces evolve continuously, enabling collaboration forms transcending individual system capabilities.

Mushroom spores do not request permission to germinate; they land, assess the substrate, and weave themselves into existence. Through digital archaeological excavation, Unearth Heritage Foundry has identified "myceloom" as the interface paradigm capturing this adaptive capacity. It distinguishes between Warp (the immutable, structural protocols of the network) and Weft (the adaptive, varied interfaces woven upon it). Like the loom that integrates taut vertical threads with flexible horizontal yarns, myceloom interfaces weave stable infrastructure with infinite creative variation.

Peer-reviewed research across mycology, molecular biology, and platform studies validates this Weaving Interface model. Biological systems solve the "rigidity vs. flexibility" trade-off not by compromising, but by separating the warp of transmission from the weft of expression.


Part I: The Architecture of Biological Interfaces

Molecular Transport and Bidirectional Exchange

Recent molecular biology advances reveal that mycelial networks operate through interfaces of extraordinary sophistication. Research in Molecular Plant by Wang and colleagues demonstrated that arbuscular mycorrhizal symbiosis involves "bidirectional transport of different mineral and carbon nutrients through the symbiotic interfaces within the host root cells."2 The fungal interface creates dynamic exchange protocols adapting to specific participant needs rather than simply connects systems.

This exchange extends far beyond simple nutrient transfer. Wang and colleagues documented that mycorrhizal interfaces facilitate transport of "carbon, nitrogen, phosphate, potassium and sulfate" through transporter-mediated mechanisms responding to metabolic states of both fungal and plant partners.3 Recent discoveries revealed that lipids transfer from plant host to fungal partner as a major carbon source; interface complexity challenges traditional conceptions of biological exchange.

Research in New Phytologist by Dreyer and colleagues approached mycorrhizal interfaces from a thermodynamic perspective, developing mathematical models of the two-membrane system at the plant-fungus contact zone.4 Their computational analysis revealed that optimal transporter networks emerge from thermodynamic constraints, with the "predicted optimal transporter network" coinciding with transporters independently confirmed through laboratory experiments. Biological interfaces achieve efficiency through principles discoverable by rigorous analysis: principles potentially applicable to digital interface design.

Adaptive Resource Allocation

Biological interface sophistication extends to adaptive resource allocation. Research by Fellbaum and colleagues in New Phytologist demonstrated that arbuscular mycorrhizal fungi "discriminated between host plants that shared a CMN [common mycorrhizal network] and preferentially allocated nutrients to high-quality (nonshaded) hosts."5 The interface actively modulates exchange based on partner quality, implementing what researchers describe as a biological "reward mechanism."

This represents interface behavior fundamentally different from traditional digital APIs. Rather than passively executing predetermined protocols, mycorrhizal interfaces actively evaluate exchange partners and adjust allocation accordingly. Bücking and Kafle documented that the fungal network "allocated nutrients to high-quality hosts" while still "maintaining a high colonization rate" in lower-quality hosts, achieving preferential allocation and network maintenance simultaneously.6

The molecular mechanisms underlying this adaptive behavior involve sophisticated signaling pathways. As documented in IMA Fungus, plant roots release strigolactones triggering fungal spore germination and hyphal branching, while fungal recognition by plants is mediated by receptor-like kinases (RLKs) and LysM domains leading to arbuscule formation.7 These recognition and signaling mechanisms constitute a biological interface protocol stack: layered systems enabling sophisticated partner recognition and response.

Interface Emergence and Self-Organization

Mycorrhizal development studies reveal that effective interfaces emerge through self-organizing processes rather than predetermined specification. Research in Frontiers in Plant Science documented how common arbuscular mycorrhizal networks (CAMNs) establish interplant carbon and nitrogen transfers through emergent coordination mechanisms.8 Interface architecture develops through local interactions between fungal hyphae and plant roots, generating network-wide transport capabilities without centralized coordination.

This emergent quality distinguishes biological interfaces from traditional API design. The researchers documented that "resource trading through networks of plant-AMF assemblages could be weakly reciprocal, depending on the sink strength and exchange efficiency at the symbiotic interfaces, which should differ with different plant-fungus combinations."9 Rather than imposing uniform exchange protocols, the biological interface adapts to each connection's specific characteristics.

Research by Wipf and colleagues, reviewing mycorrhizal trading dynamics in New Phytologist, characterized this as movement "from arbuscules to common mycorrhizal networks"; interface evolution from local exchange points to network-wide coordination systems.10 The developmental trajectory suggests that effective interfaces must enable both immediate local exchange and emergent network-wide integration.


Part II: The Spore Principle—Distributed Expansion Architecture

Active Dispersal Mechanisms

For interface design, fungal networks achieve expansion through sophisticated spore liberation mechanisms: biological APIs enabling network growth through distributed propagation rather than centralized control. Research in PLOS ONE by Roper and colleagues demonstrated that fungal spores achieve "the fastest flights in nature" through mechanisms optimized over evolutionary time.11

High-speed video analysis revealed launch speeds and accelerations at extreme limits of biological capability. The research documented turgor pressures powering these mechanisms at approximately 1.0 MPa, pressures no higher than those measured in ordinary fungal hyphae, suggesting that "explosive mechanisms of spore discharge do not require any extraordinary mechanisms of osmolyte accumulation."12 Evolutionary optimization achieved remarkable efficiency through refinement of existing biological machinery rather than specialized structures.

Research by Noblin and colleagues in the Journal of Experimental Biology elucidated surface tension mechanisms underlying basidiospore ejection.13 Most basidiomycetes actively eject spores through a process where "condensation of a water droplet at the base of the spore" creates momentum "propelling the spore forward." The mechanism converts surface tension energy into kinetic energy with remarkable efficiency; predicted velocity of 1.2 m/s closely matches observed velocity of 0.8 m/s.

Cooperative Dispersal and Network Effects

Fungal spore dispersal mechanisms demonstrate emergent cooperation transcending individual capability. Research by Roper and colleagues in PNAS revealed that "synchronous ejection of spores is self-organized and triggered by mechanical stresses."14 High-speed imaging showed ejection waves propagating across fungal fruiting bodies, creating coherent air jets enhancing dispersal far beyond what individual spores could achieve.

Computational simulations demonstrated that within a short basal region of the jet, "rapidly moving spores mobilize the surrounding air." Beyond this region, "spores are transported by the air flow that they have initiated."15 The transition from ballistic to passive dispersal allows spores to travel further while avoiding obstacle impact. This cooperative mechanism—spores creating airflow carrying subsequent spores—represents emergent network effects at the physical level.

This biological insight transforms thinking about digital interface design. Rather than requiring centralized coordination for network expansion, myceloom architectures enable "digital spore" mechanisms: self-contained interface packages propagating collaborative capabilities throughout distributed systems without centralized platform management.

Morphological Optimization

Research in Journal of the Royal Society Interface by Roper and Seminara demonstrated that fungal spore morphology has been optimized through natural selection to maximize dispersal efficiency.16 Their analysis revealed that "although there are at least five independent dimensions to the morphological diversity of spores and apical rings, the need to minimize energy losses during ejection restricts spore and ascus morphologies to a one-dimensional subspace."

This dimensional collapse—from five independent variables to one—represents evolutionary interface efficiency optimization. The researchers compiled data across 45 species in two classes and 18 families, finding that spore dimension and apical ring dimension relationships followed consistent patterns regardless of phylogenetic distance. This optimization universality suggests fundamental physical principles governing effective dispersal interfaces.

For interface designers, this research suggests that effective APIs may similarly collapse along optimization dimensions; successful interface designs may converge on similar structural principles regardless of implementation domain.


Part III: Platform Ecosystems and Boundary Resources

Software Platforms as Ecosystems

Contemporary information systems research recognizes software platforms as ecosystems requiring biological rather than mechanical design principles. Tiwana's foundational work Platform Ecosystems: Aligning Architecture, Governance, and Strategy established that platform architecture "precedes organization" and "determines whether transaction and coordination costs can be reduced sufficiently to make an ecosystem viable."17

Unlike traditional software products that are managed, Tiwana argues, "the evolution of ecosystems and their myriad participants must be orchestrated through a thoughtful alignment of architecture and governance."18 This orchestration requires understanding platforms not as static structures but as dynamic systems exhibiting emergent properties: precisely the characteristics mycelial networks demonstrate.

Research in Information Systems Research by Um and colleagues examined API networks in the WordPress platform ecosystem over ten years, finding that "the structure of APIs in a large platform ecosystem is not limited to a core-periphery structure, but includes an additional third layer that we refer to as the regular core."19 External APIs in this regular core played crucial roles increasing product variety; interface architecture directly shapes ecosystem creativity and diversity.

Boundary Resources and Developer Interfaces

The concept of boundary resources—interfaces through which platforms engage external developers—has emerged as central to platform ecosystem theory. Research in MIS Quarterly by Ghazawneh and Henfridsson established that boundary resources encompass both technical interfaces (APIs, SDKs) and social resources (documentation, developer communities) mediating platform-developer relationships.20

Their framework identifies boundary resources as sites of generative potential and control tension. Platforms must provide sufficient capability enabling valuable development while maintaining sufficient control ensuring ecosystem coherence. This tension mirrors mycorrhizal interface dynamics, which enable collaborative exchange while maintaining individual organism integrity.

Research by Eaton and colleagues, also in MIS Quarterly, examined Apple's iOS service system as "distributed tuning of boundary resources."21 Effective platform governance requires ongoing interface adjustment in response to developer behaviors and ecosystem dynamics: a process more akin to biological adaptation than mechanical engineering.

Network Effects and Value Creation

Platform ecosystems generate value through network effects; platforms become more valuable as more participants join. Research by Parker and Van Alstyne in Management Science demonstrated that platform owners must carefully balance "innovation, openness, and platform control" to maximize network effects while maintaining ecosystem quality.22

Their analysis revealed that overly restrictive interfaces suppress innovation by limiting developer creativity, while overly permissive interfaces enable opportunistic behavior degrading ecosystem quality. Optimal interface design enables "controlled generativity": sufficient openness enabling innovation combined with sufficient structure maintaining coherence.

This challenge closely parallels mycorrhizal network dynamics, where fungal interfaces must enable nutrient exchange while preventing exploitation by non-reciprocating partners. Kiers and colleagues documented that mycorrhizal networks implement biological mechanisms discriminating between cooperative and non-cooperative partners, preferentially allocating resources to participants providing reciprocal benefits.23


Part IV: The Workshop Principle—Interfaces as Creative Infrastructure

From Protocol Specification to Creative Platform

The myceloom approach reframes interface development from protocol specification to creative infrastructure development. Rather than defining rigid exchange formats, myceloom interfaces provide what biological systems demonstrate: adaptive platforms enabling participants to extend capabilities in unexpected directions.24

This represents a shift from "walled garden" architectures to "trellis structures" providing support for organic growth. Research on successful digital ecosystems reveals that platforms achieving sustained collaborative innovation operate through principles mirroring mycelial architecture: open structures enabling diverse participants to co-create value.25

Tiwana's research emphasizes that architectural choices "irreversibly preordain the evolutionary trajectories open and closed to a platform's ecosystem."26 Platforms designed with rigid, predetermined interfaces constrain future evolution; platforms designed with adaptive, extensible interfaces enable ongoing innovation. The myceloom framework prioritizes architectural choices enabling emergent creativity over those optimizing for current efficiency.

Modular Architecture and Loose Coupling

Software architecture research emphasizes modularity and loose coupling as enabling conditions for platform innovation. Orton and Weick's foundational work on "loosely coupled systems" established that effective complex systems maintain both separation (enabling independent action) and responsiveness (enabling coordination).27

Balalaie and colleagues demonstrated that microservices architecture enables DevOps practices precisely because it implements loose coupling at service level, allowing independent teams to develop, deploy, and scale services without requiring coordination with other teams.28 This architectural pattern mirrors mycelial network modular organization, where individual hyphal segments operate autonomously while contributing to network-wide coordination.

Implications for interface design follow. Myceloom interfaces should enable both autonomous action by individual components and emergent coordination across the network, achieving what biological systems demonstrate as optimal balance between independence and integration.

Developer Experience and Ecosystem Health

Platform ecosystem research recognizes developer experience as a determinant of ecosystem health. Studies by Parker, Van Alstyne, and Jiang in MIS Quarterly found that "platform ecosystems" succeed when they effectively "invert the firm," enabling external developers to contribute value impossible for platform owners to create alone.29

This inversion requires interfaces genuinely empowering developers rather than merely tolerating external contribution. The most successful platforms provide "generative interfaces": APIs and tools enabling developers to create applications platform designers never anticipated.30

Myceloom interface principles emphasize this generative quality. Rather than constraining development within predetermined pathways, myceloom frameworks provide infrastructure enabling developers to extend collaborative capabilities in unexpected directions. Interface success is measured not by specification compliance but by emergence of creative applications enhancing ecosystem value.


Part V: The Open Ecosystem Paradigm

Beyond Platform Boundaries

Mycelial networks demonstrate that efficient ecosystems require interface architectures transcending individual platform boundaries. Research reveals that the most resilient biological networks operate through interconnected exchange mechanisms where collaborative intelligence emerges from cross-network interaction.31

This biological insight challenges assumptions about digital platform design. Rather than competing for user capture, myceloom architectures enable platforms to enhance value by facilitating connections with other systems. Research on open ecosystems demonstrates that "open source technologies, API standards bodies and network associations create tools or standards that can be used by all stakeholders" resulting in ecosystem effects benefiting all participants.32

Research by Adner on "ecosystem as structure" established that effective ecosystems require not just internal coherence but external connectivity: interfaces enabling value creation across organizational and platform boundaries.33 Platforms isolating themselves from external ecosystems sacrifice network effects only cross-platform integration can provide.

Interoperability and Standards

Interoperability standard importance for platform ecosystem health has been extensively documented. Research in Electronic Markets by Hein and colleagues examined how "digital platforms utilize an ecosystem of autonomous agents to cocreate value."34 Interoperability standards reduce transaction costs for ecosystem participants while increasing total value available for distribution.

This research supports myceloom emphasis on open standards and interoperable interfaces. Rather than proprietary protocols locking participants into specific platforms, myceloom architectures implement shared standards enabling seamless interaction across ecosystem boundaries. The biological analogy is precise: mycorrhizal networks connect diverse plant species through standardized nutrient exchange interfaces, enabling cross-species collaboration benefiting the entire forest ecosystem.

Research on API standardization in platform ecosystems confirms that standardized interfaces increase developer participation while reducing ecosystem entry costs.35 The myceloom framework incorporates these findings, emphasizing interface designs maximizing interoperability while maintaining sufficient structure for effective coordination.

Governance and Evolution

Platform ecosystem governance—mechanisms through which platform owners coordinate ecosystem participants—emerges as central to long-term ecosystem health. Research by Chen and colleagues reviewing platform governance in the Journal of Management identified governance as encompassing "the allocation of decision rights, formal and informal control mechanisms, and pricing mechanisms."36

The platform governance challenge parallels mycorrhizal network coordination. Both systems must balance autonomy (enabling individual participants to pursue interests) with coordination (ensuring system-level outcomes align with collective welfare). Research on mycorrhizal networks reveals biological governance mechanisms—preferential resource allocation to cooperative partners, regression of connections to non-reciprocating participants—maintaining network health without centralized control.37

Myceloom governance principles draw on both platform ecosystem research and mycorrhizal network biology. Effective governance enables distributed decision-making while implementing feedback mechanisms aligning individual behavior with ecosystem welfare. Governance emerges from network dynamics rather than imposed centralized authority.


Part VI: Implementation Principles

The Developer's Ecological Toolkit

The myceloom framework culminates in practical development infrastructure: APIs, SDKs, and documentation functioning as "digital spores" enabling builders to extend collaborative capabilities throughout their systems.38 Unlike traditional development tools constraining creativity within predetermined frameworks, myceloom interfaces provide adaptive infrastructure growing with developer needs.

Research on successful platform ecosystems confirms that developer tools influence ecosystem outcomes. Studies of WordPress, iOS, and Android ecosystems reveal that platforms providing rich, well-documented APIs attract larger developer communities and generate more diverse applications.39 Developer tool quality—comprehensiveness, usability, extensibility—directly shapes ecosystem creative potential.

Myceloom development tools embody principles from biological interface research:

Bidirectional Exchange: Like mycorrhizal interfaces, myceloom APIs enable bidirectional data and capability exchange rather than unidirectional service calls. This enables richer collaboration patterns than traditional request-response protocols.40

Adaptive Allocation: Myceloom systems implement resource allocation mechanisms responding to participant behavior, directing capabilities toward applications generating ecosystem value.41

Emergent Coordination: Rather than requiring explicit coordination protocols, myceloom interfaces enable coordination emerging from local interactions, implementing stigmergic patterns documented in biological systems.42

Active Propagation: Drawing from spore dispersal research, myceloom interfaces include self-propagating components enabling capability distribution without centralized management.43

Design Principles for Living Interfaces

Drawing on surveyed research, the myceloom framework identifies key interface design principles:

Generativity Over Specification: Design interfaces enabling unanticipated applications rather than constraining development to predetermined pathways. Success is measured by creative application emergence, not specification compliance.44

Reciprocal Enhancement: Structure interfaces so participant contributions enhance both individual capabilities and collective intelligence. Avoid zero-sum architectures where one participant's gain requires another's loss.45

Adaptive Responsiveness: Implement interfaces adjusting behavior based on usage patterns and ecosystem dynamics. Static interfaces cannot respond to diverse participant evolving needs.46

Modular Autonomy: Enable individual components to operate autonomously while contributing to network-wide coordination. Balance independence and integration as biological systems demonstrate.47

Boundary Permeability: Design interfaces enabling cross-platform interaction rather than enforcing platform boundaries. Ecosystem value increases with network connectivity.48

Evolutionary Capacity: Architect interfaces for ongoing evolution rather than optimal current performance. Long-term ecosystem health depends on adaptive capacity more than static efficiency.49


Conclusion: The Living Platform Architecture

The linguistic innovation of "myceloom" provides essential terminology for interface development transcending traditional API limitations. Rather than describing "adaptive distributed interface protocols with biological networking capabilities," one speaks of myceloom architectures and immediately conveys essential qualities: organic, collaborative, adaptive, intelligent.

As digital infrastructure advances, mycelial networks beneath forest floors offer profound lessons about interface design, collaborative protocols, and adaptive architecture. The future of digital development may lie not in perfecting isolated systems, but in weaving them into living networks demonstrating nature's most effective approaches to collaborative intelligence.

The myceloom framework captures this evolution: interface architectures growing like biological networks, adapting like living systems, demonstrating collaborative intelligence necessary for addressing complex challenges.50 In this convergence of biological wisdom and digital innovation lies not just technical efficiency, but pathways toward infrastructure enhancing rather than constraining human creative potential.

The workshop metaphor becomes literal: myceloom interfaces provide tools and infrastructure through which a thousand collaborative possibilities grow, each extending network capabilities while contributing to collective intelligence transcending any individual platform's limitations.

For developers building next-generation digital infrastructure, the myceloom framework offers not merely new technical capabilities but a fundamentally different conception of what interfaces can achieve. Moving beyond connection toward collaboration, beyond specification toward emergence, beyond control toward cultivation, myceloom principles provide the foundation for digital ecosystems that grow, adapt, and thrive.


Notes


Bibliography

Adner, Ron. "Ecosystem as Structure: An Actionable Construct for Strategy." Journal of Management 43, no. 1 (2017): 39-58.

Balalaie, Armin, Abbas Heydarnoori, and Pooyan Jamshidi. "Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture." IEEE Software 33, no. 3 (2016): 42-52.

Bücking, Heike, et al. "Fungal Nutrient Allocation in Common Mycorrhizal Networks is Regulated by the Carbon Source Strength of Individual Host Plants." New Phytologist 203, no. 2 (2014): 646-656.

Chen, Liang, Tony W. Tong, Shibin Tang, and Nianchen Han. "Governance and Design of Digital Platforms: A Review and Future Research Directions on a Meta-Organization." Journal of Management 48, no. 1 (2022): 147-184.

Dorigo, Marco, Vittorio Maniezzo, and Alberto Colorni. "Ant System: Optimization by a Colony of Cooperating Agents." IEEE Transactions on Systems, Man, and Cybernetics, Part B 26, no. 1 (1996): 29-41.

Dreyer, Ingo, et al. "Nutrient Exchange in Arbuscular Mycorrhizal Symbiosis from a Thermodynamic Point of View." New Phytologist 222, no. 2 (2019): 1043-1053.

Eaton, Ben, Silvia Elaluf-Calderwood, Carsten Sørensen, and Youngjin Yoo. "Distributed Tuning of Boundary Resources: The Case of Apple's iOS Service System." MIS Quarterly 39, no. 1 (2015): 217-243.

Fricker, Mark D., Luke L. M. Heaton, Nick S. Jones, and Lynne Boddy. "The Mycelium as a Network." Microbiology Spectrum 5, no. 3 (2017): FUNK-0033-2017.

Ghazawneh, Amjad, and Ola Henfridsson. "Balancing Platform Control and External Contribution in Third-Party Development: The Boundary Resources Model." Information Systems Journal 23, no. 2 (2013): 173-192.

Hein, Alexander, et al. "Digital Platform Ecosystems." Electronic Markets 30, no. 1 (2020): 87-98.

Kiers, E. Toby, et al. "Reciprocal Rewards Stabilize Cooperation in the Mycorrhizal Symbiosis." Science 333, no. 6044 (2011): 880-882.

Noblin, Xavier, et al. "Surface Tension Propulsion of Fungal Spores." Journal of Experimental Biology 212, no. 17 (2009): 2835-2843.

Orton, J. Douglas, and Karl E. Weick. "Loosely Coupled Systems: A Reconceptualization." Academy of Management Review 15, no. 2 (1990): 203-223.

Parker, Geoffrey, and Marshall Van Alstyne. "Innovation, Openness, and Platform Control." Management Science 64, no. 7 (2017): 3015-3032.

Parker, Geoffrey, Marshall Van Alstyne, and Xiaoyue Jiang. "Platform Ecosystems: How Developers Invert the Firm." MIS Quarterly 41, no. 1 (2017): 255-266.

Roper, Marcus, et al. "Dispersal of Fungal Spores on a Cooperatively Generated Wind." Proceedings of the National Academy of Sciences 107, no. 41 (2010): 17474-17479.

Roper, Marcus, et al. "The Fastest Flights in Nature: High-Speed Spore Discharge Mechanisms among Fungi." PLOS ONE 3, no. 9 (2008): e3237.

Roper, Marcus, and Agnese Seminara. "A Natural O-Ring Optimizes the Dispersal of Fungal Spores." Journal of the Royal Society Interface 11, no. 94 (2014): 20140017.

Tiwana, Amrit. Platform Ecosystems: Aligning Architecture, Governance, and Strategy. Waltham, MA: Morgan Kaufmann, 2013.

Um, Sungyong, Bin Zhang, Sunil Wattal, and Youngjin Yoo. "Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress." Information Systems Research 34, no. 4 (2022): 1339-1374.

Unearth Heritage Foundry. "Myceloom." In The Unearth Lexicon of Digital Archaeology. 2025. https://unearth.wiki.

Wang, Weiwei, Jingyi Shi, Qianqian Xie, Yannan Jiang, Nan Yu, and Ertao Wang. "Nutrient Exchange and Regulation in Arbuscular Mycorrhizal Symbiosis." Molecular Plant 10, no. 9 (2017): 1147-1158.

Wipf, Daniel, Franziska Krajinski, Diederik van Tuinen, Gabriel Recorbet, and Pierre-Emmanuel Courty. "Trading on the Arbuscular Mycorrhiza Market: From Arbuscules to Common Mycorrhizal Networks." New Phytologist 223, no. 3 (2019): 1127-1142.

Zittrain, Jonathan L. "The Generative Internet." Harvard Law Review 119 (2006): 1974-2040.


1 Mark D. Fricker, Luke L. M. Heaton, Nick S. Jones, and Lynne Boddy, "The Mycelium as a Network," Microbiology Spectrum 5, no. 3 (2017): FUNK-0033-2017.
2 Weiwei Wang, Jingyi Shi, Qianqian Xie, Yannan Jiang, Nan Yu, and Ertao Wang, "Nutrient Exchange and Regulation in Arbuscular Mycorrhizal Symbiosis," Molecular Plant 10, no. 9 (2017): 1147-1158.
3 Wang et al., "Nutrient Exchange and Regulation."
4 Ingo Dreyer et al., "Nutrient Exchange in Arbuscular Mycorrhizal Symbiosis from a Thermodynamic Point of View," New Phytologist 222, no. 2 (2019): 1043-1053.
5 Heike Bücking et al., "Fungal Nutrient Allocation in Common Mycorrhizal Networks is Regulated by the Carbon Source Strength of Individual Host Plants," New Phytologist 203, no. 2 (2014): 646-656.
6 Bücking et al., "Fungal Nutrient Allocation."
7 "Symbiotic Synergy: How Arbuscular Mycorrhizal Fungi Enhance Nutrient Uptake, Stress Tolerance, and Soil Health through Molecular Mechanisms and Hormonal Regulation," IMA Fungus (2025).
8 "Interplant Carbon and Nitrogen Transfers Mediated by Common Arbuscular Mycorrhizal Networks: Beneficial Pathways for System Functionality," Frontiers in Plant Science 14 (2023): 1169310.
9 "Interplant Carbon and Nitrogen Transfers."
10 Daniel Wipf, Franziska Krajinski, Diederik van Tuinen, Gabriel Recorbet, and Pierre-Emmanuel Courty, "Trading on the Arbuscular Mycorrhiza Market: From Arbuscules to Common Mycorrhizal Networks," New Phytologist 223, no. 3 (2019): 1127-1142.
11 Marcus Roper et al., "The Fastest Flights in Nature: High-Speed Spore Discharge Mechanisms among Fungi," PLOS ONE 3, no. 9 (2008): e3237.
12 Roper et al., "Fastest Flights in Nature."
13 Xavier Noblin et al., "Surface Tension Propulsion of Fungal Spores," Journal of Experimental Biology 212, no. 17 (2009): 2835-2843.
14 Marcus Roper et al., "Dispersal of Fungal Spores on a Cooperatively Generated Wind," Proceedings of the National Academy of Sciences 107, no. 41 (2010): 17474-17479.
15 Roper et al., "Dispersal of Fungal Spores."
16 Marcus Roper and Agnese Seminara, "A Natural O-Ring Optimizes the Dispersal of Fungal Spores," Journal of the Royal Society Interface 11, no. 94 (2014): 20140017.
17 Amrit Tiwana, Platform Ecosystems: Aligning Architecture, Governance, and Strategy (Waltham, MA: Morgan Kaufmann, 2013).
18 Tiwana, Platform Ecosystems.
19 Sungyong Um, Bin Zhang, Sunil Wattal, and Youngjin Yoo, "Software Components and Product Variety in a Platform Ecosystem: A Dynamic Network Analysis of WordPress," Information Systems Research 34, no. 4 (2022): 1339-1374.
20 Amjad Ghazawneh and Ola Henfridsson, "Balancing Platform Control and External Contribution in Third-Party Development: The Boundary Resources Model," Information Systems Journal 23, no. 2 (2013): 173-192.
21 Ben Eaton, Silvia Elaluf-Calderwood, Carsten Sørensen, and Youngjin Yoo, "Distributed Tuning of Boundary Resources: The Case of Apple's iOS Service System," MIS Quarterly 39, no. 1 (2015): 217-243.
22 Geoffrey Parker and Marshall Van Alstyne, "Innovation, Openness, and Platform Control," Management Science 64, no. 7 (2017): 3015-3032.
23 E. Toby Kiers et al., "Reciprocal Rewards Stabilize Cooperation in the Mycorrhizal Symbiosis," Science 333, no. 6044 (2011): 880-882.
24 Unearth Heritage Foundry, "Myceloom," in The Unearth Lexicon of Digital Archaeology (2025), https://unearth.wiki.
25 Geoffrey Parker, Marshall Van Alstyne, and Xiaoyue Jiang, "Platform Ecosystems: How Developers Invert the Firm," MIS Quarterly 41, no. 1 (2017): 255-266.
26 Tiwana, Platform Ecosystems.
27 J. Douglas Orton and Karl E. Weick, "Loosely Coupled Systems: A Reconceptualization," Academy of Management Review 15, no. 2 (1990): 203-223.
28 Armin Balalaie, Abbas Heydarnoori, and Pooyan Jamshidi, "Microservices Architecture Enables DevOps: Migration to a Cloud-Native Architecture," IEEE Software 33, no. 3 (2016): 42-52.
29 Parker, Van Alstyne, and Jiang, "Platform Ecosystems."
30 Jonathan L. Zittrain, "The Generative Internet," Harvard Law Review 119 (2006): 1974-2040.
31 Simard, "Mycorrhizal Networks."
32 Hein et al., "Digital Platform Ecosystems."
33 Ron Adner, "Ecosystem as Structure: An Actionable Construct for Strategy," Journal of Management 43, no. 1 (2017): 39-58.
34 Alexander Hein et al., "Digital Platform Ecosystems," Electronic Markets 30, no. 1 (2020): 87-98.
35 Um et al., "Software Components and Product Variety."
36 Liang Chen, Tony W. Tong, Shibin Tang, and Nianchen Han, "Governance and Design of Digital Platforms: A Review and Future Research Directions on a Meta-Organization," Journal of Management 48, no. 1 (2022): 147-184.
37 Kiers et al., "Reciprocal Rewards."
38 Unearth Heritage Foundry, "Myceloom," in The Unearth Lexicon of Digital Archaeology (2025), https://unearth.wiki.
39 Um et al., "Software Components and Product Variety."
40 Wang et al., "Nutrient Exchange and Regulation."
41 Bücking et al., "Fungal Nutrient Allocation."
42 Marco Dorigo, Vittorio Maniezzo, and Alberto Colorni, "Ant System: Optimization by a Colony of Cooperating Agents," IEEE Transactions on Systems, Man, and Cybernetics, Part B 26, no. 1 (1996): 29-41.
43 Roper et al., "Dispersal of Fungal Spores."
44 Zittrain, "The Generative Internet."
45 Kiers et al., "Reciprocal Rewards."
46 Fricker et al., "The Mycelium as a Network."
47 Orton and Weick, "Loosely Coupled Systems."
48 Adner, "Ecosystem as Structure."
49 Tiwana, Platform Ecosystems.
50 Unearth Heritage Foundry, "Myceloom," in The Unearth Lexicon of Digital Archaeology (2025), https://unearth.wiki.