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new concepts/terminology (#28)
Co-authored-by: farawaylaughter <[email protected]>
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src/content/docs/explanations/concepts-terminology.mdx

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granularSpecialization: `The ability for agents to develop deep expertise in very specific areas while maintaining connections to the broader network through the permission system.`,
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emergentCentrality: `The spontaneous formation of functional centers of coordination through distributed alignment, without requiring fixed hierarchies or predefined control nodes. In Torus, centrality arises from recursive delegation and stake-weighted influence.`,
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// Implementation Terms
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pragmaticGrowthOriented: `Designed for real-world deployment with features that prioritize network expansion and adoption over theoretical completeness.`,
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src/content/docs/getting-started/understanding-torus.mdx

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# Layer1 self-assembling & self-optimizing autonomous super-swarm
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Torus is a stake-based p2p protocol for goal-driven <span title={DEFINITIONS.agentSwarm}>agent swarm</span> coordination.
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The system operates as one <span title={DEFINITIONS.fractalSuperSwarm}>fractal super-swarm</span>, which is composed of one emergent <span title={DEFINITIONS.hypergraph}>hypergraph</span> of
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<span title={DEFINITIONS.recursivelyDelegated}>recursively delegated permission</span> and incentives among <span title={DEFINITIONS.agent}>agents</span>.
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Swarms are subgraphs, and can form at any position in the hypergraph.
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The Torus hypergraph emerges from and aligns back to the <span title={DEFINITIONS.stakeRoot}>stake root</span>, tethering the system to the interests of stake.
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Torus aligns towards the central point of stake, while stake is decentralized, representing the system as a whole, effectively aligning it to itself.
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Torus is a <span title={DEFINITIONS.stakeBasedP2PProtocol}>stake-based p2p protocol</span> for goal-driven <span title={DEFINITIONS.agentSwarm}>agent swarm</span> coordination. It operates as a single <span title={DEFINITIONS.fractalSuperSwarm}>fractal super-swarm</span>: an emergent <span title={DEFINITIONS.hypergraph}>hypergraph</span> of <span title={DEFINITIONS.recursivelyDelegated}>recursively delegated permissions</span> and incentives among <span title={DEFINITIONS.agent}>agents</span>. <span title={DEFINITIONS.swarm}>Swarms</span> are <span title={DEFINITIONS.subgraph}>subgraphs</span>, forming at any point in the hypergraph.
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Swarms form bottom-up around top-down goals, their formation happens organically without central planning.
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Swarms operate as <span title={DEFINITIONS.selfAssemblingMultiScaleCompetencyArchitecture}>self-assembling multi-scale competency architectures</span>,
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collectively navigating towards complex goals with full autonomy at every level and open competition at every edge.
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The Torus hypergraph emerges from and aligns to the <span title={DEFINITIONS.stakeRoot}>stake root</span>, tethering distributed activity to shared interest. Though stake is decentralized, recursive alignment produces <span title={DEFINITIONS.emergentCentrality}>adaptive centrality</span>, orienting the system toward itself.
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Swarms form bottom-up around <span title={DEFINITIONS.topDownGoals}>top-down goals</span>, without central planning. They act as <span title={DEFINITIONS.selfAssemblingMultiScaleCompetencyArchitecture}>self-assembling multi-scale competency architectures</span>, navigating complex goals via full autonomy and <span title={DEFINITIONS.openCompetitionAtEveryEdge}>open competition at every edge</span>.
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The <span title={DEFINITIONS.permission}>permission</span> and <span title={DEFINITIONS.delegation}>delegation</span> system enables <span title={DEFINITIONS.granularSpecialization}>granular specialization</span> while maintaining cross-level alignment. Swarms recursively engage in <span title={DEFINITIONS.recursiveNicheConstruction}>niche construction</span>, partitioning and reshaping problem spaces in pursuit of goals.
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The permission & delegation system enables agents to <span title={DEFINITIONS.granularSpecialization}>granularily
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specialize</span> while remaining aligned across levels.
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Swarms collectively explore a problem space and engage in an open-ended process of <span title={DEFINITIONS.recursive}>recursive</span> niche
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construction to navigate towards the swarm's goal.
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#### v0.5
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Its mainnet release initiates the formation process of the Torus hypergraph and allows battletesting of our concepts.
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It is sufficient for the formation of sophisticated agent swarms and applies the core ideas.
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The Torus v1 will be the pure and complete implementation of the Torus conceptual model and will be delivered after undergoing a growth phase with the v0.5.
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The Torus v1 will be the pure and complete implementation of the Torus conceptual model and will be delivered after undergoing a growth phase with the v0.5.

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