The Conditioned Processing-Selection-Realization Dynamics (CPSRD)

AbstractSHAMIUL HOQUE SHANThis paper introduces the Conditioned Processing Selection-Realization Dynamics (CP-SRD), a proposed multilevel theoretical framework for investigating how system states,previous histories, information, evaluation rules, environmental constraints, and feedbackrelate to pathway selection and realized outcomes. The framework is organized into twoprincipal branches: Subjective-Agent Dynamics (SAD), whose primary application is hu-man cognition and behavior, and Mechanistic-System Dynamics (MSD), which concernsmechanical, computational, and other systems whose transition mechanisms can be formallyspecified.The human branch addresses developmental conditions, learning, information processing,subjective effort, objective task demand, beliefs, worldview, ideology, religious and moralidentification, social position, occupational pathways, career decisions, resource constraints,and change across the lifespan. The mechanistic branch addresses system states, inputs,operating conditions, control policies, available resources, state transitions, and feedback.Time is treated as a fundamental temporal dimension, but not as the exclusive mediumof operation. Information channels, physical or computational substrates, resources, andcontextual conditions are distinguished as separate analytical categories. The framework'sshared mathematical core is expressed through state-transition functions, while branch-specificequations represent human evaluation and feasible choice separately from mechanistic controland output.A conceptual primary case illustrates how comparable alternatives may be evaluateddifferently, how preferred pathways can diverge from realized behavior under constraints,and how subsequent outcomes may modify later states. The paper establishes operationaldefinitions, candidate hypotheses, boundary conditions, a cross-system comparison, and aresearch-validation protocol. It does not claim empirical confirmation, demonstrated novelty,or universal applicability. Its scientific contribution remains subject to systematic comparisonwith established theories, measurement validation, and independent empirical testing.Keywords: dynamic systems; cognitive effort; conditioned processing; decision-making; identity;constrained choice; state transitions; feedback; lifespan change; control systems; multilevelmodeling.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24092817
Primary Topic
Complex Systems and Decision Making
Type
preprint
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preprint

The Conditioned Processing-Selection-Realization Dynamics (CPSRD)

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

The Conditioned Processing-Selection-Realization Dynamics (CPSRD)

Shamiul Hoque Shan
preprint en

Abstract

AbstractSHAMIUL HOQUE SHANThis paper introduces the Conditioned Processing Selection-Realization Dynamics (CP-SRD), a proposed multilevel theoretical framework for investigating how system states,previous histories, information, evaluation rules, environmental constraints, and feedbackrelate to pathway selection and realized outcomes. The framework is organized into twoprincipal branches: Subjective-Agent Dynamics (SAD), whose primary application is hu-man cognition and behavior, and Mechanistic-System Dynamics (MSD), which concernsmechanical, computational, and other systems whose transition mechanisms can be formallyspecified.The human branch addresses developmental conditions, learning, information processing,subjective effort, objective task demand, beliefs, worldview, ideology, religious and moralidentification, social position, occupational pathways, career decisions, resource constraints,and change across the lifespan. The mechanistic branch addresses system states, inputs,operating conditions, control policies, available resources, state transitions, and feedback.Time is treated as a fundamental temporal dimension, but not as the exclusive mediumof operation. Information channels, physical or computational substrates, resources, andcontextual conditions are distinguished as separate analytical categories. The framework'sshared mathematical core is expressed through state-transition functions, while branch-specificequations represent human evaluation and feasible choice separately from mechanistic controland output.A conceptual primary case illustrates how comparable alternatives may be evaluateddifferently, how preferred pathways can diverge from realized behavior under constraints,and how subsequent outcomes may modify later states. The paper establishes operationaldefinitions, candidate hypotheses, boundary conditions, a cross-system comparison, and aresearch-validation protocol. It does not claim empirical confirmation, demonstrated novelty,or universal applicability. Its scientific contribution remains subject to systematic comparisonwith established theories, measurement validation, and independent empirical testing.Keywords: dynamic systems; cognitive effort; conditioned processing; decision-making; identity;constrained choice; state transitions; feedback; lifespan change; control systems; multilevelmodeling.

Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Decision Making
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