Last active
November 27, 2025 21:30
-
-
Save patham9/67bb09bbe40c3451381eb315bb69cd96 to your computer and use it in GitHub Desktop.
NARS-GPT: Whale disease example
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
| //Input: Whales are mammals that live in the ocean. | |
| <(whale * ocean) --> live_in>. :|: {1.0 0.9} | |
| //Input: Animals that live in the ocean are marine animals. | |
| <(animal * ocean) --> live_in>. :|: {1.0 0.9} | |
| <animal --> marine_animal>. :|: {1.0 0.9} | |
| //Input: Marine mammals are exposed to pollutant P. | |
| <(marine_animal * pollutant_p) --> are_exposed_to>. :|: {1.0 0.9} | |
| //Input: Exposure to pollutant P increases the risk of Disease Z. | |
| <(pollutant_p * the_risk_of_disease_z) --> increase>. :|: {1.0 0.9} | |
| //Input: Are whales at risk of disease z, and if so what are all relevant memory items and your confidence? | |
| //Output: Yes, whales are at risk of disease z. Relevant memory items: i=1, i=2, i=8, i=11. Confidence: 0.13045568000000002. | |
| //Memory: | |
| i=0: animal live_in ocean. confidence=0.473684 | |
| ('<(animal * ocean) --> live_in>', 'eternal') (2, 1, (1.0, 0.473684), [2]) | |
| i=1: whale live_in ocean. confidence=0.473684 | |
| ('<(whale * ocean) --> live_in>', 'eternal') (1, 1, (1.0, 0.473684), [1]) | |
| i=2: whale isa marine_animal. time=3 confidence=0.14495078400000003 | |
| ('<whale --> marine_animal>', 3) (3, 1, (1.0, 0.283107), [3, 2, 1]) | |
| i=3: animal isa whale. confidence=0.28223 | |
| ('<animal --> whale>', 'eternal') (2, 1, (1.0, 0.28223), [2, 1]) | |
| i=4: whale isa animal. confidence=0.28223 | |
| ('<whale --> animal>', 'eternal') (2, 1, (1.0, 0.28223), [2, 1]) | |
| i=5: marine_animal isa whale. time=3 confidence=0.11296870400000003 | |
| ('<marine_animal --> whale>', 3) (3, 1, (1.0, 0.220642), [3, 2, 1]) | |
| i=6: marine_animal live_in ocean. time=3 confidence=0.20132044800000004 | |
| ('<(marine_animal * ocean) --> live_in>', 3) (3, 1, (1.0, 0.393204), [3, 2]) | |
| i=7: animal isa marine_animal. time=3 confidence=0.4608000000000001 | |
| ('<animal --> marine_animal>', 3) (3, 1, (1.0, 0.9), [3]) | |
| i=8: whale are_exposed_to pollutant_p. time=4 confidence=0.13045568000000002 | |
| ('<(whale * pollutant_p) --> are_exposed_to>', 4) (4, 1, (1.0, 0.203837), [4, 3, 2, 1]) | |
| i=9: animal are_exposed_to pollutant_p. time=4 confidence=0.4147200000000001 | |
| ('<(animal * pollutant_p) --> are_exposed_to>', 4) (4, 1, (1.0, 0.648), [4, 3]) | |
| i=10: marine_animal are_exposed_to pollutant_p. time=4 confidence=0.5760000000000002 | |
| ('<(marine_animal * pollutant_p) --> are_exposed_to>', 4) (4, 1, (1.0, 0.9), [4]) | |
| i=11: pollutant_p increase the_risk_of_disease_z. time=5 confidence=0.7200000000000001 | |
| ('<(pollutant_p * the_risk_of_disease_z) --> increase>', 5) (5, 1, (1.0, 0.9), [5]) |
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment