Fun and games at IEEE WCCI 2016, Vancouver, Canada
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Following UCL spin-out DeepMind's success at beating the world Go champion, there was very much a flavour of artificial intelligence (AI) in the air. For example Deep Learning was the topic of Juergen Schmidhuber's invited plenary talk and some of the competitions, for example, Diego Perez and Simon Lucas' General Video Game AI Competition (winner Tom Vodopivec shown in Figure 9). David Fogel president of Natural Selection Inc., gave an impressive lecture open to the general public (see Figure 1). He covered the story of how he and Kumar Chellapilla evolved a competition level checkers (draughts) player. He talked about taking it out into the real world to play people in online competitions. He related the difference in his opponents online behaviour when playing as David 1101 or when playing as Blondie242.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it