think-advanced

Modal reasoning with possible-worlds semantics evaluates necessity and possibility across alethic, epistemic, and deontic domains. You provide a problem, specify the modal mode, and receive structured JSON outputs analyzing your hypothetical scenarios.

Stochastic reasoning models probabilistic processes using distributions, sampling, and Monte Carlo methods. It analyzes unpredictable systems by generating structured JSON outputs that map probabilistic outcomes and sampling logic.

Recursive reasoning breaks complex problems into smaller instances of the same problem. You define base cases, recursive steps, and halting conditions to receive structured analysis of self-referential tasks and algorithmic logic.

Advanced runtime reasoning operates with zero external dependencies. It parses user prompts and integrates safely with the think router to process recursive, modal, and stochastic problems natively.

Formalizing policy decisions uses stochastic reasoning to model probabilistic processes with distributions and Monte Carlo methods. It provides structured JSON outputs to rigorously analyze hypothetical scenarios and policy impacts.

Advanced runtime reasoning parses user prompts and provides structured JSON outputs or diagrams. It processes recursive, modal, and stochastic patterns to deliver structured analysis across self-referential and probabilistic tasks.