Package: PsiUEngineRL
Title: Homotopy Type Theory Engine for Reinforcement Learning
Version: 0.1.3
Authors@R: person("Roberto", "Lombardi", 
                 email = "lombardisedr@gmail.com", 
                 role = c("aut", "cre"))
Description: Core architecture for interpreting continuous data streams as
    homotopy types. It evaluates identity paths against the Gnomonic Ratio
    ('Lombardi', 2026) <doi:10.5281/zenodo.20385840> and processes them via a
    dynamic 'Tableau Refutation Tree'. The engine categorizes data into
    necessity (BOX), possibility (DIAMOND), or noise based on deviation
    thresholds from the invariant value. Includes adaptive auto-tuning and
    native high-contrast Cartesian graphics for structural entropy isolation.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.3
Depends: R (>= 3.5)
NeedsCompilation: no
Packaged: 2026-06-01 14:08:35 UTC; Roberto
Author: Roberto Lombardi [aut, cre]
Maintainer: Roberto Lombardi <lombardisedr@gmail.com>
Repository: CRAN
Date/Publication: 2026-06-07 18:50:14 UTC
Built: R 4.5.2; ; 2026-06-07 22:39:41 UTC; unix
