The Goal-Means Realization Inversion Principle (GMRIP)

This paper develops the Goal-Means Realization Inversion Principle (GMRIP), a proposed general-systems framework for analyzing situations in which goal-directed processes undermine the constitutive conditions required for substantive realization of the goal they are intended to achieve. The framework distinguishes nominal attainment from substantive realization, formalizes goal-means conflict, and introduces a two-axis classification architecture. The first axis distinguishes absolute from dynamic goal-inversion structures; the second distinguishes subjective or intentional execution from mechanical or automatic execution. Their Cartesian combination defines four analytic branches: Absolute Subjective Goal Inversion (ASGI), Dynamic-Subjective Goal Inversion (DSGI), Absolute-Mechanical Goal Inversion (AMGI), and Dynamic-Mechanical Goal Inversion (DMGI). The primary case, termed the Instrumental Deception-Authentic Love Paradox (IDALP), concerns an agent who seeks genuine reciprocal love through instrumental deception that undermines the trust, honesty, or reciprocity taken to constitute that goal. The case is preserved as the central illustration while the theoretical structure is generalized to individual agents, multi-agent systems, organizations, institutions, networks, and technical systems. A medium-independent process coordinate allows analysis through time, event sequences, iterations, execution stages, or system states without requiring any single temporal or material medium. The paper defines finite-process and weighted conflict ratios, a conflict-severity measure, nominal-substantive divergence, a conditional mathematical model of realization inversion, boundary conditions, falsifiable hypotheses, and a proposed empirical research protocol. The proposed architecture is not presented as an empirically established universal law. Its contribution must be evaluated through formal consistency checks, comparison with existing work on self-defeating goals, instrumental goal pursuit, metric distortion, and specification gaming, and subsequent empirical investigation across independently defined domains.Keywords: goal-means conflict; goal-inversion; substantive realization; nominal attainment; constitutive conditions; absolute conflict; dynamic conflict; subjective agency; mechanical execution; multi-agent systems; medium-independent modeling; GMRIP; IDALP

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-07
DOI
https://doi.org/10.5281/zenodo.24041103
Primary Topic
Complex Systems and Decision Making
Type
preprint
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preprint

The Goal-Means Realization Inversion Principle (GMRIP)

Shamiul Hoque Shan
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
preprint

The Goal-Means Realization Inversion Principle (GMRIP)

Shamiul Hoque Shan
preprint en

Abstract

This paper develops the Goal-Means Realization Inversion Principle (GMRIP), a proposed general-systems framework for analyzing situations in which goal-directed processes undermine the constitutive conditions required for substantive realization of the goal they are intended to achieve. The framework distinguishes nominal attainment from substantive realization, formalizes goal-means conflict, and introduces a two-axis classification architecture. The first axis distinguishes absolute from dynamic goal-inversion structures; the second distinguishes subjective or intentional execution from mechanical or automatic execution. Their Cartesian combination defines four analytic branches: Absolute Subjective Goal Inversion (ASGI), Dynamic-Subjective Goal Inversion (DSGI), Absolute-Mechanical Goal Inversion (AMGI), and Dynamic-Mechanical Goal Inversion (DMGI). The primary case, termed the Instrumental Deception-Authentic Love Paradox (IDALP), concerns an agent who seeks genuine reciprocal love through instrumental deception that undermines the trust, honesty, or reciprocity taken to constitute that goal. The case is preserved as the central illustration while the theoretical structure is generalized to individual agents, multi-agent systems, organizations, institutions, networks, and technical systems. A medium-independent process coordinate allows analysis through time, event sequences, iterations, execution stages, or system states without requiring any single temporal or material medium. The paper defines finite-process and weighted conflict ratios, a conflict-severity measure, nominal-substantive divergence, a conditional mathematical model of realization inversion, boundary conditions, falsifiable hypotheses, and a proposed empirical research protocol. The proposed architecture is not presented as an empirically established universal law. Its contribution must be evaluated through formal consistency checks, comparison with existing work on self-defeating goals, instrumental goal pursuit, metric distortion, and specification gaming, and subsequent empirical investigation across independently defined domains.Keywords: goal-means conflict; goal-inversion; substantive realization; nominal attainment; constitutive conditions; absolute conflict; dynamic conflict; subjective agency; mechanical execution; multi-agent systems; medium-independent modeling; GMRIP; IDALP

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
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The Goal-Means Realization Inversion Principle (GMRIP) — Shamiul Hoque Shan · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS