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
In this paper we investigate the logic of speech acts and groundedness. A piece of information is grounded for a group of agents if it is publicly expressed and established by all agents of the group. Our concept of groundedness is founded on the expression of the sincerity condition of speech act theory. We formalize groundedness within an extended BDI (Belief, Desire, Intention) logic where belief is viewed as a kind of group belief. We show that our logic permits to reconcile the mentalist approaches on the one hand, and the structural and social approaches on the other, which are the two rival research programs in the formalization of agent interaction. Although groundedness is thus linked to the standard mental attitude of belief, it is immune to the critiques that have been put forward against the mentalist approaches, viz. that they require too strong hypotheses about the agents ’ mental states such as sincerity and cooperation: just as the structural approaches, groundedness only bears on the public aspect of communication. In our extended BDI logic we study communication between heterogeneous agents. We characterize inform and request speech acts in terms of preconditions and effects. We demonstrate the power of our solution by means of two examples. First, we revisit the well-known FIPA Contract Net Protocol. As a second example, we show how Walton & Krabbe’s commitments can be redefined in term of groundedness.
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 | 0.006 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| 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