The preceding posts have traced a path from the static potential of system networks to dynamic, agent-oriented readiness:
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Post 1: Nodes and pathways as loci of readiness (inclination + ability)
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Post 2: Choice as alignment of readiness
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Post 3: Topologies of readiness across domains
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Post 4: Dynamics of readiness — feedback, reinforcement, and inhibition
In this final post, we synthesise these insights into a relational theory of action, showing how actualisation emerges from the interplay of relational topology, readiness, and temporal dynamics.
1. Action as perspectival alignment
Action occurs where readiness aligns:
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Inclination + Ability → High Readiness → Actualisation
Every instance of action — whether a word spoken, a cell differentiating, or a social event occurring — is the local convergence of potential and preparedness.
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This explains why some possibilities remain unrealised: the system lacks alignment along the readiness vector.
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It preserves relational ontology: the “cut” or actualisation is perspectival, dependent on system and context.
2. Networks as relational scaffolds
The system network provides the architecture for action:
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Nodes define regions of potential stabilisation.
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Pathways constrain the flow of actualisation.
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Readiness vectors weight the likelihood of each path being realised.
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Dynamics shift readiness over time through feedback, reinforcement, and inhibition.
Together, these elements form a scaffolded landscape, where actualisation is both constrained and enabled by relational structure.
3. Cross-domain unification
Language:
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Speaking, writing, and constructing meaning are all actualisations of readiness in a relational network of grammar and social context.
Biology:
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Differentiation and morphogenesis are guided by cellular readiness, shaped by signalling, environment, and temporal feedback.
Social systems:
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Collective action emerges where motivation and capacity align across participants, mediated by norms and institutions.
Physics:
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Transitions between stable states occur where systemic stability and accessibility converge — the “readiness” of the system to actualise particular configurations.
Across domains, the same relational principle applies: action is the alignment of readiness within a structured network of potential.
4. Emergence, adaptation, and learning
The relational theory of action also explains emergence and adaptation:
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Feedback loops redistribute readiness, reinforcing successful pathways and inhibiting less viable ones.
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Networks adapt over time, producing novel actualisations and shifting the landscape of potential.
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Learning and experience are processes of readiness alignment: increasing ability, shaping inclination, and guiding future action.
This makes the network a temporal, predictive, and explanatory model of how systems actualise potential across time and context.
5. Conceptual payoff
By framing the system network as a model of readiness:
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Potential becomes dynamic: readiness evolves and flows across the network.
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Choice becomes emergent: action arises perspectivally, through alignment rather than external imposition.
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Networks unify domains: language, life, society, and physics all conform to the same relational logic.
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Actualisation is relational and scalable: from individual words to social institutions, the same principles govern the emergence of instances from potential.
6. Closing reflection
The Networks of Readiness series transforms the system network from a map of abstract potential into a dynamic model of action:
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Nodes and pathways are loci of readiness
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Choice is alignment of inclination and ability
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Topologies shape which pathways are accessible
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Dynamics redistribute readiness over time
In doing so, the network becomes more than a linguistic tool: it is a relational framework for understanding action, emergence, and adaptation across domains.
The relational theory of action thus unites ontology, semiotics, biology, social systems, and physics under a single, coherent principle: actualisation occurs where readiness aligns within the relational topology of potential.
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