Desire, Attachment, Suffering, and Ignorance — Formal Ontology

Desire, Attachment, Suffering, and Ignorance — Formal Ontology

Formal definitions for four left-hand constructs. The right-hand ratio is immutable; only the carried parameters (radius and angle) are passed to the left, and no numerator substitution ever occurs.

Preliminaries (Primitives)

The core law is:

Reality = Actual / Expectation

We work with the following objects:

  • Actual A>0 (unseen on the left; no control).
  • Expectation E = P + iI with real component P (prediction) and imaginary component I (ideal).
  • Carried parameters: r = A / |E| and alpha = atan2(I,P).
  • Witness readout: S = ln r.

Sampling (What Is Actually Seen)

On the left, nothing ever sees Actual; only a sample of it is observed. Let the effective setpoint be selected by a binary gate:

gate and setpoints
observation

Invariant: the witness channel remains S=ln r and does not depend on the gate.


Definitions

Desire

Type. Pre-sample target specification (pattern), not a control action and not an outcome.

  • Timing: exists prior to and independent of (r,alpha).
  • Object: a predicate or scoring rule T on observations, optionally with priority pi; write D=(T,pi) if needed.
  • Invariance: does not modify A,E,r,alpha,S or Sigma.
  • Gate independence: may be present with either h=0 or h=1.
  • Relation to hope/fear: hope/fear are pre-sample evaluation commitments that may be parameterized by T but are distinct from Desire.
  • Persistence: episode-level Desire ends at observation; trait-level Desire may persist across episodes.

Attachment

Type. Control state that determines which setpoint is used for sampling.

  • Definition: h=0 uses s_R=(r,alpha); h=1 uses s_M=(r̄,ᾱ).
  • Invariance: does not alter A,E,r,alpha,S; only chooses s_eff.
  • Independence from Desire: Desire can influence the likelihood of h=1 but is not identical to it.
  • Modality: soft attachment = low dwell; hard attachment = persistent, high dwell.

Suffering

Type. Post-sample persistence in conflict with the observed x.

  • Necessaries: after x arrives, all of the following are required:
    1. Mismatch: x violates D.
    2. Insistence: continued attempts to force alignment with T (re-aim/re-tighten/re-interpret/replay).
    3. Duration: persistence beyond the instant of observation (distinct from S).
  • Invariance: no change to A,E,r,alpha,S; later Expectation drift is ordinary learning.
  • Sufficiency: Mismatch ∧ Insistence ∧ Duration ⇒ Suffering.
  • Cessation (all required): full cessation occurs only when, over a settling interval,
    1. Release Attachment: manual insistence ceases (effectively h->0 or s_M not enforced), and
    2. Relax Episode-Desire: the active T is let go or reframed so mismatch no longer drives insistence, and
    3. Episode Turnover: attention advances without carrying forward the prior insistence.

Ignorance

Type. Epistemic/attentional condition about the carried parameters and the gate.

  • Definition: failure to represent that a sampling setpoint can equal the carried (r,alpha) from the right-hand ratio (s_R=(r,alpha)), and/or failure to track which setpoint (s_R vs s_M) is active via h.
  • Invariance: does not alter A,E,r,alpha,S; it concerns the agent’s internal model.
  • Relation to Attachment: can co-occur with h=1 yet is distinct; one can be attached while fully aware, or ignorant even with h=0.
  • Effect: increases dwell in narrow sampling and raises persistence of Suffering by obscuring the pathways required for cessation.
  • Resolution: reduced by accurately representing the architecture: recognize carried (r,alpha), know s_R and s_M, and monitor h.

Edge Checks

  • Desire present, h=0, match → no Suffering.
  • Desire present, h=0, mismatch → Suffering only if Insistence and Duration occur; cessation requires all three conditions above.
  • Attachment without Desire → narrowed sampling, but Suffering not implied absent mismatch + insistence + duration.
  • Ignorance alone → not Suffering, but increases risk by hiding the steps needed for cessation.

Minimal Glossary

  • Actual (A): outcome on the right; unseen on the left.
  • Expectation (E): complex denominator with prediction and ideal.
  • Radius (r): carried scalar A/|E|.
  • Angle (alpha): carried phase atan2(I,P).
  • Witness (S): lawful felt readout ln r.
  • Gate (h): selects s_R vs s_M.
  • Desire: pre-sample target specification D=(T,pi); invariant to (r,alpha),h.
  • Attachment: control state selecting s_eff; does not alter the ratio.
  • Suffering: post-sample mismatch + insistence + duration.
  • Ignorance: failure to represent carried (r,alpha) and/or to track the active setpoint via h.

Author: John Rector

John Rector is the co-founder of E2open, acquired in May 2025 for $2.1 billion. Building on that success, he co-founded Charleston AI (ai-chs.com), an organization dedicated to helping individuals and businesses in the Charleston, South Carolina area understand and apply artificial intelligence. Through Charleston AI, John offers education programs, professional services, and systems integration designed to make AI practical, accessible, and transformative. Living in Charleston, he is committed to strengthening his local community while shaping how AI impacts the future of education, work, and everyday life.

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