Apply deductive rules and generate hypotheses over knowledge graphs.
npx skills add https://github.com/Hawksight-AI/semantica --skill reason-hawksight-ai
Please help me install this Agent Skill. Skill: reason Source: https://github.com/Hawksight-AI/semantica/tree/main/plugins/skills/reason Command: npx skills add https://github.com/Hawksight-AI/semantica --skill reason-hawksight-ai
This Skill facilitates advanced reasoning and hypothesis generation over complex knowledge graphs, enabling AI systems to derive conclusions and explanations.
Use the reason skill to run a deductive logic inference on your knowledge base with specified rules.
High-intent search queries and answers about installing and using this skill.
Deductive reasoning on a knowledge graph applies logical rules to known facts to deduce new information. This approach supports decision making and data validation tasks by deriving conclusions from structured data.
Abductive hypothesis generation analyzes knowledge graph observations to create and rank explanatory hypotheses. This method is useful for troubleshooting and causal analysis when seeking the most likely explanations for specific data points.
Yes, you can run SPARQL and Datalog queries to perform complex queries over structured data. This capability retrieves insights and validates data integrity within knowledge graphs to support advanced analysis.
Executing logical inference requires a structured knowledge graph environment and defined logical rules. You provide the known facts and rules to the reasoning engine to derive conclusions and generate explanations.
Deductive reasoning applies general rules to specific facts to validate conclusions, while abductive reasoning generates the best possible hypotheses to explain observed data. Both leverage knowledge graphs but serve distinct analytical purposes.
Logical inference is unsuitable when your knowledge base lacks structured facts or defined rules. Without established relationships, the reasoning engine cannot accurately deduce new information or generate valid explanatory hypotheses.
trungdo9Extract entities and relationships from unstructured text into a queryable knowledge graph.
89jobrienEnforce evidence-first reasoning with multiple hypotheses and self-correction protocols.
semantica-agiPerform deductive, abductive, Datalog, SPARQL, and Rete reasoning over knowledge graphs.
plurigridGenerate and test hypotheses from observations in an interactive REPL.
