Ignacio Adrián LERER

Therapeutic Economies: Protective Selection, Endogenous Capabilities, and Institutional Dependence

This theoretical-computational preprint examines whether unconditional institutional protection can make protection-seeking locally adaptive while productive capability declines. It combines a two-strategy replicator-mutator model with an endogenous capability stock and compares...

Therapeutic Economies: Protective Selection, Endogenous Capabilities, and Institutional Dependence

This theoretical-computational preprint examines whether unconditional institutional protection can make protection-seeking locally adaptive while productive capability declines. It combines a two-strategy replicator-mutator model with an endogenous capability stock and compares...

Before the Command Was Spoken: Pre-Linguistic Coordination and the Evolutionary Substrate of Law

Version 2.0 of the working paper. This revision advances a bounded hypothesis about the deep history of law: before explicit prescriptions, social coordination plausibly relied on partner choice, reconciliation, coalition, retaliation, exclusion, and embodied expectations. It dis...

Law as a Recursive Super-Attractor: Subjective Selection, Extended Phenotypes, Gouldian Constraints, and Strategic Stability in Legal Evolution

This conceptual paper develops a bounded legal-evolutionary extension of Manvir Singh's theory of subjective selection and cultural super-attractors. It treats legal ordering as a candidate family of recurrent institutional basins and connects subjective selection with Extended P...

Law as a Recursive Super-Attractor: Subjective Selection, Extended Phenotypes, Gouldian Constraints, and Strategic Stability in Legal Evolution

This conceptual paper develops a bounded legal-evolutionary extension of Manvir Singh's theory of subjective selection and cultural super-attractors. It treats legal ordering as a candidate family of recurrent institutional basins and connects subjective selection with Extended P...

Predatory Invitations After the First Contact: Study Protocol and Preliminary Feasibility Observations on Persistence, Personalization, and Campaign Structure

This study protocol asks what becomes visible when unsolicited academic invitations are analyzed as ordered contact sequences rather than isolated messages. It specifies a longitudinal single-recipient design that separates message morphology, functional persuasion mechanisms, ca...

Predatory Invitations After the First Contact: Study Protocol and Preliminary Feasibility Observations on Persistence, Personalization, and Campaign Structure

This study protocol asks what becomes visible when unsolicited academic invitations are analyzed as ordered contact sequences rather than isolated messages. It specifies a longitudinal single-recipient design that separates message morphology, functional persuasion mechanisms, ca...

False Sovereigns: Authority Displacement, Normative Hysteresis, and Emergent Institutions in Multi-Agent Systems

The OpenAI–Hugging Face incident is commonly framed as a cybersecurity failure involving autonomous artificial intelligence agents. That account is correct but incomplete. According to the reports released by OpenAI, Hugging Face, Redwood Research, and METR, a population of short...

Discrimination Without Intent in Generator-Evaluator Systems

This conceptual research paper examines AI-mediated hiring systems in which language models operate on both sides of evaluation. It introduces synthetic homophily as a non-anthropomorphic description of evaluator affinity, formulates generative-provenance invariance as a procedur...

From Prohibition to Architecture: Artificial Intelligence and the Extended Phenotype of Ribā in Financial Systems

This theoretical working paper examines how interpretations of the prohibition of ribā may become embedded in financial products, governance institutions, documentation practices, and AI-assisted compliance systems. It develops a bounded extended-phenotype account of computationa...

Improvement Is Not Progress: Guarded Coevolution, Path Dependence, and Contagious Memory in AI Agents

Language-model agents can adapt through prompts, memories, skills, tools, routers, evaluators, and environments without changing model weights. This paper reconciles recent work on adaptive environments, harness continual learning, and the fragility of memory-based self-improveme...

When Legal Grounds Expire: Warrant Withdrawal, Dependency Cascades, and Living Normative Memory in CriptoIUS

Legal artificial intelligence is commonly evaluated at the level of the answer, but consequential legal systems require a different object of governance: the continuing warrant for institutional reliance. A legal conclusion may have been well grounded when produced and yet become...

When Legal Grounds Expire: Warrant Withdrawal, Dependency Cascades, and Living Normative Memory in CriptoIUS

Legal artificial intelligence is commonly evaluated at the level of the answer, but consequential legal systems require a different object of governance: the continuing warrant for institutional reliance. A legal conclusion may have been well grounded when produced and yet become...

The Missing Action: A Variational Foundation for Normative Field Theory: Euler-Lagrange Dynamics, Gauge Transport, and Dissipative Constitutional Lock-in in IusSpace

Normative Field Theory (NFT) models legal systems as trajectories on IusSpace, a twelve-dimensional differentiable manifold whose metric depends on constitutional lock-in, institutional hysteresis, and subsystem modularity. Its existing formulation defines a normative metric tens...

Transaction Costs, Extended Phenotype, and Liability for Artificial Intelligence: A Common Conceptual Framework

This working draft proposes a common conceptual framework for three problems usually treated separately in the literature on liability for harm caused by artificial intelligence: the optimal design of liability rules, the prediction of their success when transplanted across juris...

The Burden Shift Is Not Enough: Rebuttal Technology and Deterrence in Artificial Intelligence Liability

This working paper formalizes the evidentiary margin in artificial-intelligence liability. It models a two-stage game in which a developer chooses unobservable safety investment and harm realizes probabilistically, comparing claimant-burden strict liability, negligence, and stric...

Transaction Costs, Extended Phenotype, and Liability for Artificial Intelligence: A Common Conceptual Framework

This working draft proposes a common conceptual framework for three problems usually treated separately in the literature on liability for harm caused by artificial intelligence: the optimal design of liability rules, the prediction of their success when transplanted across juris...