Self-improving agents, governed. Areev is the substrate for adaptive agents — agents that get better from their own history, under human authority, in steps you can inspect, undo, and re-measure.
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Updated
Sep 2, 2026 - Rust
Self-improving agents, governed. Areev is the substrate for adaptive agents — agents that get better from their own history, under human authority, in steps you can inspect, undo, and re-measure.
Latent Behavioral State Machines / Statistical Manifolds — Research
Chain-of-density study of 'Polymorphic Combinatorial Frameworks (PCF): Adaptive AI Agents' (Pearl, Murphy & Intriligator 2025, arXiv:2508.01581) - five-tier note, locator-verified. SPARK parameter spaces, topos theory, 1.25M Monte Carlo simulations.
Biologically-inspired Dual-Q reinforcement learning with asymmetric memory decay. MSc AI dissertation, University of Sussex 2025. Forgetting rewards faster than punishments improves adaptation in dynamic environments.
Aegis-Grid is an open-source, agentic cryptographic framework for high-assurance power system communication. It utilizes adaptive (n, k) thresholding, Shannon entropy mirroring, and Cumulative Attack Pressure (CAP) monitoring to provide a "Fail-Secure" communication backbone for critical grid infrastructure.
Adaptive reinforcement learning combat environment with curriculum learning, reward shaping, Gymnasium, FastAPI, React dashboard, and Qwen LoRA integration.
PUBLIC | FCTUC DEI/LEI 2020/2021 - Licenciatura em Engenharia Informatica | FIA - Fundamentos de Inteligência Artificial | Trabalhos: 1. Agentes Reativos; 2. Agentes Adaptativos
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