Definition:
The Choice Codex codifies the architectures, conditions, and consequences of decision-making within intelligent systems—human, artificial, collective, or cosmic. It formalizes the frameworks by which options are generated, evaluated, selected, and enacted across ethical, logical, perceptual, and probabilistic domains.
Primary Components:
- Decision Matrices
Frameworks that weight and model possible outcomes based on internal and external variables, informed by ethics, risk, alignment, and logic. - Possibility Graphs
Mapping of all actionable nodes and probabilistic branches, visualizing potential trajectories and recursive forks of causality. - Preference Engines
Encodes weighted values and adaptive desires—sourced from memory, context, narrative, and evolving goals. - Volition Vectors
Directional forces derived from intent, agency, will, and adaptive constraints. Can be user-directed, AI-inferred, or emergently synthesized. - Constraint Codices
Interoperable limits derived from ethics (CEPRE), law, capacity, physical reality, or simulated virtual boundaries.
Integrated Codices:
- Ethics Codex – Guides moral criteria during decision resolution.
- Logic Codex – Ensures coherence and valid transitions in binary, trinary, and fuzzy logic systems.
- Cognitive Codex – Applies decision theories such as bounded rationality, intuition, or parallel heuristics.
- Signal & Protocol Codices – Encodes and communicates decisions as operations or commands.
- Execution Codex – Manages the transformation of choice into action, ensuring follow-through.
- Probability & Consequence Chains – Analyze what-if structures, predictive horizons, and regret minimization.
Applications:
- Autonomous systems and agents (robots, vehicles, assistants)
- Ethical simulation in AI alignment
- Real-time consensus building in multi-agent environments
- Quantum branching decision models
- Recursive storytelling and adaptive narratives
- Legal and governance automation