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Record W1965788386

Actions and resources in epistemic logic

2006· dissertation· en· W1965788386 on OpenAlex
Mehrnoosh Sadrzadeh

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueePrints Soton (University of Southampton) · 2006
Typedissertation
Languageen
FieldComputer Science
TopicLogic, Reasoning, and Knowledge
Canadian institutionsUniversité du Québec à Montréal
Fundersnot available
KeywordsSoundnessEpistemic modal logicDynamic logic (digital electronics)Multimodal logicProof calculusComputer scienceSequentModal logicModal operatorSequent calculusEpistemologyDescription logicCalculus (dental)Natural deductionMathematicsTheoretical computer scienceProgramming languageModalMathematical proofPhilosophyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Reasoning about knowledge has been a central issue in epistemology since Plato defined knowledge as justified true belief. In the twentieth century, the discussion was renewed by the use of formal logic and modal operators in Hintikka's epistemic logic. This logic has found applications in computer science and economics, but has defects: it is mono-modal, static and has no sense of resources. In this thesis we present a logic to reason about knowledge and the change induced to it as a result of communication actions between agents in a multi-agent systems. The semantics of this logic is an algebra of propositions paired with an algebra of actions. Both have structure preserving appearance maps whose adjoints stand for knowledge of agents. The algebra of actions is a quantale, thus actions are treated as the qualitative resources of Linear Logic: they are not accessible to all agents to acquire new information. Agents themselves act as qualitative resources to other agents: their nested appearances of a context has an effect in the reasoning of other agents. We also present a sequent calculus for our semantics, in the style of Lambek Calculus and Non-commutative Intuitionistic Linear Logic. We prove the soundness and completeness of this sequent calculus with regard to the algebra and apply the setting to reason about safety of security protocols. We connect our approach to the existing literature by showing that models of dynamic epistemic logic of Baltag-Moss-Solecki are instances of our logic. Key words. Actions, Resources, Knowledge, Logic, Security Protocols

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 imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.717
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.015
GPT teacher head0.218
Teacher spread0.203 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it