Bibliography¶
This repository and its theoretical framework draw upon established literature in complex systems, physics, neuroscience, economics, and artificial intelligence. The synthesis of these ideas — the "Fractal Architecture of Emergence," "Love as Constraint," and "Systemic Utility Engineering" — is original to this project.
Foundational References¶
Bak, P., Tang, C., & Wiesenfeld, K. (1987). Self-organized criticality: An explanation of 1/f noise. Physical Review Letters, 59(4), 381–384. (Demonstrates how dynamical systems naturally tune themselves to a critical state. Explored in the SOC and Black Swan simulations.)
Bostrom, N. (2014). Superintelligence: Paths, Dangers, Strategies. Oxford University Press. (The paperclip maximizer thought experiment formalized. The TEO framework derives its failure trajectory from first principles.)
Chan, B. W. C. (2019). Lenia: Biology of Artificial Life. Complex Systems, 28(3), 251–286. (Continuous cellular automata demonstrating autopoiesis and boundary maintenance.)
Chen, R. T. Q., Rubanova, Y., Bettencourt, J., & Duvenaud, D. (2018). Neural Ordinary Differential Equations. NeurIPS. (Continuous-depth architectures where identity could be an attractor in the ODE flow — relevant to the Co-Instantiation Problem.)
Friston, K. (2010). The free-energy principle: a unified brain theory? Nature Reviews Neuroscience, 11(2), 127–138. (Foundation of the Active Inference simulations. Formalizes how systems resist thermodynamic decay through perception and action.)
Kuramoto, Y. (1975). Self-entrainment of a population of coupled non-linear oscillators. Lecture Notes in Physics, 39, 420–422. (Mathematical basis for modeling emergent synchronization and value alignment in the TEO framework.)
Rockström, J. et al. (2009). A safe operating space for humanity. Nature, 461(7263), 472–475. (Defines planetary boundaries — the biospheric \(D_{\max}\) in the Substrate Veto formalization.)
Taylor, P. D., & Jonker, L. B. (1978). Evolutionary stable strategies and game dynamics. Mathematical Biosciences, 40(1–2), 145–156. (The replicator equation — foundational to TEO's market dynamics and the paperclip maximizer derivation.)
Turing, A. M. (1952). The chemical basis of morphogenesis. Philosophical Transactions of the Royal Society of London, 237(641), 37–72. (Symmetry breaking and pattern formation, explored in the Reaction-Diffusion models.)
Von Neumann, J., & Morgenstern, O. (1944). Theory of Games and Economic Behavior. Princeton University Press. (Axiomatic foundation for rational utility mapping, extended to measure latent utility structure of LLMs.)
Contemporary & Project-Specific References¶
Amodei, D. (2024). Machines of Loving Grace. Anthropic Essay. (Vision of AI-augmented human flourishing. The TEO framework derives that "love" is a theorem — the only survivable constraint structure.)
Brautigan, R. (1967). All Watched Over by Machines of Loving Grace. Communication Company. (The poem that gave the concept its name. In TEO terms: a Machine of Loving Grace is one satisfying \(\gamma > 0\), \(K > K_c\), \(dS/dt < D_{\max}\).)
Domingos, P. (2025). Tensor Logic. Preprint. (Demonstrates that logical deduction and neural network operations are mathematically isomorphic.)
Mazeika, M. et al. (2025). Utility Engineering. Preprint. (Formalizes emergent utility in AI systems. Extended in this project's Utility Engineering simulation.)
Perrier, E. & Bennett, C. (2026). Identity Persistence in Autonomous Agents: The Chord Postulate. (Working Paper). (Introduces the Chord vs. Arpeggio distinction and the Identity Persistence score \(\text{IP}\), the 4th SII dimension.)
Peterlein, F. (2025). Systems & Intelligence: An Open Thesis. GitHub Repository. (Primary author. The Emergence Manifesto, Substrate Veto derivation, TEO framework, and Machines of Loving Grace synthesis.)
Peterlein, F. (2026). Quantifying Emergent Utility & Stability in Multi-Agent LLM Ecosystems. (Working Paper). (Formalization of the VNM Coherence Score (\(C\)) via graph-theoretic trilemma execution in language models.)