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 a Charleston-based entrepreneur, author, and AI strategist. He co-founded E2open, the supply-chain software company acquired for $2.1 billion in 2025, and in 2026 opened Charleston AI, a 3,000-square-foot lab that helps people and organizations understand and use artificial intelligence. He is the creator of The Reality Equation — a lecture series, book, and curriculum exploring attention, prediction, and how reality is experienced — and the author of more than two dozen books. He writes and speaks widely on artificial intelligence, attention, and the future of human work.

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