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This project, led by James Baker, aims to transform complex inference processes into engaging audio-visual experiences. By utilizing Cyc queries, we will extract full inference explanations and convert each step into natural language, allowing audiences to perceive the "space" of inference among individuals. Collaboration with team members Sara and Ayman will be essential. The technical plan spans 5-10 weeks, covering development, execution, and integration phases, while also addressing potential risks in explanation extraction through the API.
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Audio-Visual Cyc-Diving James Baker
The Project • Take a cyc query • Find the full inference explanation • Convert each step to NL • Send to audiovisual output • Let audience hear the “space” of inference going on
The people • Me. • Connect with Sara & Ayman as necessary.
A plan • Technical know-how (2-4 weeks) • Execution (1-2 week) • End-to-end integration (1-2 weeks) • Enhancements and modifications (3 weeks) Total 5-10 weeks, best/worst case
What can go wrong • Extracting explanations through the API • Med/High risk. Supported graphically, but not programatically? • Natural language generation? • Low risk.
Possible leads, CYC API • MAKE-HL-SUPPORT • DEDUCTION-ASSERTION • DO-DEDUCTIONS