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AI-Driven Multi-Agent Simulation of Stratified Polyamory Systems: A Computational Framework for Optimizing Social Reproductive Efficiency

Yicai Xing

Abstract

Contemporary societies face a severe crisis of demographic reproduction. Global fertility rates continue to decline precipitously, with East Asian nations exhibiting the most dramatic trends -- China's total fertility rate (TFR) fell to approximately 1.0 in 2023, while South Korea's dropped below 0.72. Simultaneously, the institution of marriage is undergoing structural disintegration: educated women rationally reject unions lacking both emotional fulfillment and economic security, while a growing proportion of men at the lower end of the socioeconomic spectrum experience chronic sexual deprivation, anxiety, and learned helplessness. This paper proposes a computational framework for modeling and evaluating a Stratified Polyamory System (SPS) using techniques from agent-based modeling (ABM), multi-agent reinforcement learning (MARL), and large language model (LLM)-empowered social simulation. The SPS permits individuals to maintain a limited number of legally recognized secondary partners in addition to one primary spouse, combined with socialized child-rearing and inheritance reform. We formalize the A/B/C stratification as heterogeneous agent types in a multi-agent system and model the matching process as a MARL problem amenable to Proximal Policy Optimization (PPO). The mating network is analyzed using graph neural network (GNN) representations. Drawing on evolutionary psychology, behavioral ecology, social stratification theory, computational social science, algorithmic fairness, and institutional economics, we argue that SPS can improve aggregate social welfare in the Pareto sense. Preliminary computational results demonstrate the framework's viability in addressing the dual crisis of female motherhood penalties and male sexlessness, while offering a non-violent mechanism for wealth dispersion analogous to the historical Chinese Grace Decree (Tui'en Ling).

AI-Driven Multi-Agent Simulation of Stratified Polyamory Systems: A Computational Framework for Optimizing Social Reproductive Efficiency

Abstract

Contemporary societies face a severe crisis of demographic reproduction. Global fertility rates continue to decline precipitously, with East Asian nations exhibiting the most dramatic trends -- China's total fertility rate (TFR) fell to approximately 1.0 in 2023, while South Korea's dropped below 0.72. Simultaneously, the institution of marriage is undergoing structural disintegration: educated women rationally reject unions lacking both emotional fulfillment and economic security, while a growing proportion of men at the lower end of the socioeconomic spectrum experience chronic sexual deprivation, anxiety, and learned helplessness. This paper proposes a computational framework for modeling and evaluating a Stratified Polyamory System (SPS) using techniques from agent-based modeling (ABM), multi-agent reinforcement learning (MARL), and large language model (LLM)-empowered social simulation. The SPS permits individuals to maintain a limited number of legally recognized secondary partners in addition to one primary spouse, combined with socialized child-rearing and inheritance reform. We formalize the A/B/C stratification as heterogeneous agent types in a multi-agent system and model the matching process as a MARL problem amenable to Proximal Policy Optimization (PPO). The mating network is analyzed using graph neural network (GNN) representations. Drawing on evolutionary psychology, behavioral ecology, social stratification theory, computational social science, algorithmic fairness, and institutional economics, we argue that SPS can improve aggregate social welfare in the Pareto sense. Preliminary computational results demonstrate the framework's viability in addressing the dual crisis of female motherhood penalties and male sexlessness, while offering a non-violent mechanism for wealth dispersion analogous to the historical Chinese Grace Decree (Tui'en Ling).
Paper Structure (52 sections, 2 equations, 10 figures, 3 tables)

This paper contains 52 sections, 2 equations, 10 figures, 3 tables.

Table of Contents

  1. Introduction: The Structural Crisis of Monogamy and the Case for Computational Modeling
  2. A Historical Materialist Examination of Marriage
  3. The Dual Crisis of Contemporary Mating
  4. Statement of the Problem
  5. Theoretical Foundations: Why Humans Are Polygamous Animals
  6. Evidence from Evolutionary Psychology
  7. Mating System Distribution Among Mammals
  8. Parental Investment Theory and Sexual Strategies Theory
  9. The Neurochemistry of Love and Its Temporal Limits
  10. The Nature of Love: Subjective Experience of Genetic Attractiveness
  11. Realistic Acknowledgment of Sexual Attractiveness Stratification
  12. Institutional Design: The Core Framework of SPS as Environment Specification
  13. Basic Structure
  14. Resource Allocation Logic: The Cross-Tier Interaction Model as a Social Graph
  15. The Grace Decree Effect: Polyamory as Wealth Dispersion Mechanism
  16. ...and 37 more sections

Figures (10)

  • Figure 1: Long-term decline in total fertility rates (TFR) across major East Asian nations. Data: UN Population Division un2024, national statistical bureaus, Choe & Lee choe2025.
  • Figure 2: The dual dimensions of monogamy's structural failure and their convergent effect on social reproduction. Each dimension is supported by key empirical literature.
  • Figure 3: Distribution of mating systems among mammals. Based on phylogenetic analysis by Lukas & Clutton-Brock lukas2013. Strict monogamy accounts for only $\sim$9% of species.
  • Figure 4: The three-channel biological model of love. Visual gangestad2000singh1993, olfactory wedekind1995wedekind1997, and behavioral buss1989miller2000 channels jointly constitute the genetic quality assessment system.
  • Figure 5: SPS institutional structure and rights system. The limited rights design for companions avoids equating secondary relationships with marriage while safeguarding children's interests. Legal frameworks for multi-partner recognition are emerging hlr2022.
  • ...and 5 more figures