Project Stars
Research-grounded atlas of meaning
Research sync
API live · 4/4 sources ready
Map overview
0
Concept nodes
0
Confirmed links
0
Candidate links
0
Domains
Receiver quality
Precision tuning for the active receiver
1.00
Low values increase ambiguity and damping pressure. High values sharpen field response, coherence, and convergence.
Intention strength
0.50
Scales how strongly thought resolves into coordinated action.
Moral polarity
0.00
Negative values bias toward crime-like pathways; positive values bias toward kindness-like pathways.
Empathy field
0.50
Raises the odds that intention flips from harm to repair and prosocial cooperation.
Experiment panel
Precision
0.000
Coherence
0.000
Convergence
0%
Receiver state
High
Moral valence
0.000
Collective pull
0.000
Formal hypothesis: semantic precision emerges from structural constraints, receiver-state tuning, and an intention field that can flip from harm to care.
Layout energy
Settling · computing structural pull
Hypothesis tension and cluster stability update live.
Neighborhood mode
Model legend
Gold = confirmed structure
Gray dashed = candidate relation
Gold labels = confirmed connected labels
Gray labels = candidate or sub-related labels
Wave / glow = activation field
Stars = ambient field only
Mathematical model
Candidate scoring functional
S(a,b)=0.24·sem + 0.20·cit + 0.16·topic + 0.14·nbr + 0.11·ont + 0.05·rec + 0.06·author + 0.02·entity + 0.02·source
Candidate iff S(a,b) > τ,  τ = 0.46
Layout dynamics
Repulsion: F_rep ∝ (3200·cooling + 800) / r²
Weighted springs: F_spring = w_e·0.015·(d - d_target)
where w_e = 1.00 for confirmed, 0.25 for strong candidates, 0 otherwise
Damping = 0.80, gravity = 0.005
Axiom: confirmed structure dominates, but strong candidates can weakly shape geometry.
Field source term
A(x,t)=Σ_i s_i exp(-||x-x_i||² / σ_i²) · (0.55 + 0.45 sin(ωt + φ_i))
Int_i'(t)=α·A(x_i,t)·Q·MoralValence_i - β·|Int_i|
MoralValence_i = tanh(γ·(EmpathyField - Threshold)) + user polarity bias
Positive intention strengthens collective attractors; negative valence strengthens crime-like pathways.
Formal hypothesis
This atlas is framed as a computational formalization, not a theorem-proof. Thoughts, feelings, goals, and intentions are modeled as state transitions in a partially free dynamical field. Precision is operationalized as a measured function of low layout energy, activation coherence, receiver quality, and an intention field whose moral valence can flip under empathy tuning.
Science links
Free Energy PrincipleLayout settling plays the role of prediction-error reduction under structural constraints.
Predictive ProcessingCandidate relations behave like update proposals; confirmed structure behaves like stabilized priors.
Dynamical Systems NeuroscienceReceiver quality acts like a metastability / gain parameter controlling whether the field resolves cleanly.
Theory of Planned BehaviorIntention is modeled as the bridge from cognition to action, consistent with Ajzen's attitude-norm-control framework.
Moral Psychology & Social IdentityEmpathy and collective identity tune whether the same structural field resolves toward crime-like or kindness-like attractors.
Domain
Confirmed Links
Evidence Class
Consensus
Review State
Epistemic State
Candidate Links
Cluster Tightness
Research Provenance
No external research sync has been recorded for this concept yet.
Confirmed Connections
Candidate Relations
Relation Status
Confirmed Candidate Under review Rejected Insufficient evidence
Relation Basis
Cluster Metrics
Provenance & Review
No candidate edge selected.

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