Markets & Decision Systems
How AI represents and acts on sparse, irregular event data — corporate fundamentals, macro shocks, regime shifts — across financial time series.
We publish our work openly — conceptual frameworks, theoretical papers, and long-form essays on how AI reshapes financial markets, knowledge infrastructure, and the structural logic of economies themselves. Built for collaborators, students, and anyone working through the same questions.
How AI represents and acts on sparse, irregular event data — corporate fundamentals, macro shocks, regime shifts — across financial time series.
Frameworks where AI and humans co-evolve structured knowledge: ontology maintenance, schema-gap detection, and human-in-the-loop validation at scale.
When AI displaces wage labor, what holds an economy together? Marxian reproduction questions revisited with modern coordination and stability tools.
All papers are released openly. Web-rendered versions include inline math via MathJax; PDFs are typeset for print and citation.
Sparse-event learning in financial time series.
A Macro-Contextual Conceptual Framework and Methodology
A conceptual framework for learning representations from sparse event sequences — integrating asset-level events with macro-level events in a unified sequence — to investigate structural relationships between event patterns and price outcomes across different market regimes. Exploratory in scope; not an operational price-prediction system.
AI-assisted knowledge graph evolution.
A Framework for AI-Assisted Knowledge Graph Evolution
A Human-in-the-Loop framework where large language models detect schema gaps in knowledge graphs and generate structured proposals for human review. Combines domain-based schema slicing for context efficiency with embedding-based validation to prevent redundant proposals — balancing automation with human oversight for quality control.
When AI replaces wages, what holds the economy together?
Artificial Intelligence and the Return of Marxian Questions
Revisits the question Marx posed in Capital, Volume II — can capitalism reproduce the conditions required for its own existence? — using contemporary economic tools, in light of AI's capacity to displace wage labor and the macro coordination problems that follow.
Coordination and Stability in Post-Wage Economies
The companion paper to Stability without Reproduction: develops an answer to the stability problem by examining what coordination mechanisms can sustain a market economy when income is decoupled from wage labor. Analyzes equilibrium conditions across alternative income regimes.
A short technical companion to the post-wage program, examining the evolutionary stability of equilibria identified in Income Regimes After Wage Anchoring.
When AI Makes Marx's Questions Relevant Again
A reader-friendly long-form essay summarizing the core arguments of Stability without Reproduction and Income Regimes After Wage Anchoring — for readers interested in the structural transformation an AI economy may bring to market systems, without the full technical apparatus.