| R. Parikh. Logical omniscience. In Logic and Computational Complexity, Ed. Leivant, Springer Lecture Notes in Computer Science, v. 960, pp. 22--29, 1995. |
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Parikh, R., "Logical omniscience", in Logic and Computational Complexity Ed. Leivant, Springer Lecture Notes in Computer Science no. 960, (1995) 22-29.
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Parikh, R., "Logical omniscience" in Logic and Computational Complexity, LNCS 960, 2229.
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Parikh, R., "Logical omniscience" in Logic and Computational Complexity, LNCS 960, 22-29.
....with current beliefs. The AGM axioms have been studied extensively, and various completeness results have been proven (see, for example, Grove [28] The revision process is necessarily non monotonic, and Grove uses an ordering among possible models to achieve this non monotonicity. In [47], it is shown how the revision process can be made more efficient by revising only that portion of an agent s beliefs which are in the same domain of information as the new information; e.g. new information obtained from the dentist about the health of one s teeth should not affect beliefs about ....
R. Parikh. Logical omniscience. In D. Leivant, editor, Logic and Computational Complexity, pages 22--29. Springer Lecture Notes in Computer Science LNCS #960, 1995.
No context found.
Parikh, R., "Logical omniscience" in Logic and Computational Complexity LNCS # 960, 22-29.
No context found.
R. Parikh. Logical omniscience. In Logic and Computational Complexity, Ed. Leivant, Springer Lecture Notes in Computer Science, v. 960, pp. 22--29, 1995.
No context found.
Parikh, R., "Logical omniscience", in Logic and Computational Complexity, Springer Lecture Notes in Computer Science 960, 22-29.
No context found.
Parikh, R., "Logical omniscience" in Logic and Computational Complexity, LNCS 960, 22-29.
No context found.
Parikh, R., "Logical omniscience" in Logic and Computational Complexity LNCS # 960, 22-29.
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