Unverified50% confidenceFactExact time
Each choice in CAAI generates a structured Decision Record that logs which historical factors influenced the decision and to what degree.
1
Sources
50%
Confidence
Long-term
Relevance
9/11/2026
First Seen
Sources
Related Entities
Related Claims
UnverifiedThe CAAI system design supports comparing multiple configurations under the same scenario, including history influence enabled vs. disabled, the same state with different historical paths, and deterministic vs. probabilistic selection.73% similarUnverifiedDecision systems need to distinguish facts from speculation, require complete causal chains, require deterministic rule engines, require clearly identified responsible parties, and require temporal traceability — these five dimensions differentiate them from traditional RAG.62% similarUnverifiedCAI 是一种以模型对齐模型的自举式方法,其有效性依赖于原则清单本身的设计质量以及初始模型对原则的理解与执行能力58% similarUnverifiedA decision graph is a queryable network that connects facts, evidence, rules, responsible parties, and outcomes.56% similarUnverifiedSemantica's decision intelligence represents each decision as a graph node containing type, scenario, rationale, conclusion, and confidence level, and decisions can be chained into causal chains using Add Causal Relationship.56% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/903915API
curl https://kongchang.com/api/v1/knowledge/claims/903915MCP
get_claim(id=903915)