reinforcement-schedule

Language-independent DSL specification for declaring reinforcement contingencies and Pavlovian pairings. Six-layer architecture (Foundations / Operant / Respondent / Composed / Experiment / Annotation) with EBNF grammar, JSON Schema, and language-agnostic conformance tests.

Manual session driver wrapping experiment_core.Session with a callback-style API.

Builder API, CLI, and standalone HTML tools for composing contingency-DSL schedules without writing DSL by hand.

Python reference parser for contingency-dsl. Zero runtime dependencies; implements the full EBNF grammar and produces an AST that validates against contingency-dsl's JSON Schema.

Meta-package that installs the OperantKit Python stack and the operant command

Benchmark runner for OperantKit: timing precision, LLM-as-subject performance, matching-law parameter recovery.

Dry-run timeline visualizer for reinforcement-schedule DSL programs.

Python reinforcement schedule engine for operant contingencies. Bridges contingency-dsl AST to executable Schedule objects. 31 schedule families: atomic + wrappers + compound + differential + progressive + trial-based + aversive.

Extractor from academic paper Method sections to contingency-dsl AST (paper → DSL). Inverse of contingency-dsl2procedure.

Rust reinforcement schedule engine. Port of contingency-py with bit-equivalent semantics (via 14 conformance fixtures). Bindings: PyO3, WASM, C FFI, UniFFI (Swift/Kotlin). HIL TCP/JSONL binary included.

Compiler from contingency-dsl JSON AST to academic paper Method sections (DSL → paper). Works with any parser emitting the canonical ast-schema.json shape.