2005
DOI: 10.1016/j.apal.2004.06.013
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Finite information logic

Abstract: We introduce a generalization of Independence Friendly (IF) logic in which Eloise (the ∃ player) is restricted to a finite amount of information about Abelard's (∀'s) moves. This logic is shown to be equivalent to a sublogic ∃∀ of first-order logic, to have the finite model property, and to be decidable. Moreover, it gives an exponential compression relative to ∃∀ logic.

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Cited by 8 publications
(9 citation statements)
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“…Even more delicate flows of information were studied in the Partial Information logic by Parikh and Väänänen [32] whose formulae give rise to imperfect information games in which Eloise may be partially informed about the previous actions. In semantic games for the first-order formula ∀x∃y R(x, y), for instance, Eloise knows the object assigned to x.…”
Section: Propositionmentioning
confidence: 99%
“…Even more delicate flows of information were studied in the Partial Information logic by Parikh and Väänänen [32] whose formulae give rise to imperfect information games in which Eloise may be partially informed about the previous actions. In semantic games for the first-order formula ∀x∃y R(x, y), for instance, Eloise knows the object assigned to x.…”
Section: Propositionmentioning
confidence: 99%
“…One of the first results about database dependencies is the so called Armstrong Completeness Theorem [3]. It has as its starting point a set of axioms for the dependance =(x, y).…”
Section: Definition 1 a Team Is Any Set Of Assignments For A Fixed Smentioning
confidence: 99%
“…
In my joint paper [3] with Rohit Parikh we investigate a logic arising from finite information. Here we consider another kind of limited information, namely information with a small number of errors, and prove a related completeness theorem.
…”
mentioning
confidence: 99%
“…Parikh's mathematical facility-as well as his conviviality and generosity as a teacher and colleague-have led to a constant stream of interesting and fruitful putting-togethers and rearrangements of heretofore disparate areas of logic and the theory of "rationality": proof theory and bounded arithmetic ( [54], [62]), temporal logic and social levels ( [63], [66], Bayesian probability theory and defeasible inference ( [1]), epistemic and dynamic epistemic logic ( [67], [69]), modal, deontic, and finite information logics ( [76]), [67], [53], [3]), belief revision theory, relevance and topology ( [8], [7], [64], [12]), electoral and political theory ( [52], [17]), and even literature and life ( [71], [73]). Juxtaposing these traditions of research with one another by asking philosophical questions yields interesting accounts of tensions and presuppositions among them.…”
Section: Introductionmentioning
confidence: 99%