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Volumn 3300 LNCS, Issue , 2004, Pages 191-236

Approaches to measuring inconsistent information

Author keywords

[No Author keywords available]

Indexed keywords

FORMAL LOGIC; INFORMATION ANALYSIS; KNOWLEDGE BASED SYSTEMS; INFORMATION THEORY; INTELLIGENT SYSTEMS; PROBABILITY;

EID: 36849009156     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (111)

References (71)
  • 1
    • 0000128393 scopus 로고
    • On the logic of theory change: Partial meet contraction and revision functions
    • C. Alchourrón, P. Gärdenfors, and D. Makinson. On the logic of theory change: partial meet contraction and revision functions. Journal of Symbolic Logic, 50:510-530, 1985.
    • (1985) Journal of Symbolic Logic , vol.50 , pp. 510-530
    • Alchourrón, C.1    Gärdenfors, P.2    Makinson, D.3
  • 6
    • 0001842932 scopus 로고
    • A useful four-valued logic
    • G Epstein, editor, Reidel
    • N. Belnap. A useful four-valued logic. In G Epstein, editor, Modern Uses of Multiple-valued Logic, pages 8-37. Reidel, 1977.
    • (1977) Modern Uses of Multiple-valued Logic , pp. 8-37
    • Belnap, N.1
  • 8
    • 1642581082 scopus 로고    scopus 로고
    • An overview of inconsistency-tolerant inferences in prioritized knowledge bases
    • Fuzzy Sets, Logic and Reasoning about Knowledge, of, Kluwer
    • S. Benferhat, D. Dubois, and H. Prade. An overview of inconsistency-tolerant inferences in prioritized knowledge bases. In Fuzzy Sets, Logic and Reasoning about Knowledge, volume 15 of Applied Logic Series, pages 395-417. Kluwer, 1999.
    • (1999) Applied Logic Series , vol.15 , pp. 395-417
    • Benferhat, S.1    Dubois, D.2    Prade, H.3
  • 9
    • 84957627945 scopus 로고
    • Quasi-classical logic: Non-trivializable classical reasoning ¿from inconsistent information
    • C Froidevaux and J Kohlas, editors, Symbolic and Quantitative Approaches to Uncertainty, of
    • Ph. Besnard and A. Hunter. Quasi-classical logic: Non-trivializable classical reasoning ¿from inconsistent information. In C Froidevaux and J Kohlas, editors, Symbolic and Quantitative Approaches to Uncertainty, volume 946 of Lecture Notes in Computer Science, pages 44-51, 1995.
    • (1995) Lecture Notes in Computer Science , vol.946 , pp. 44-51
    • Besnard, P.1    Hunter, A.2
  • 10
    • 0004775273 scopus 로고    scopus 로고
    • Introduction to actual and potential contradictions
    • Ph Besnard and A. Hunter, editors, Handbook of Defeasible Resoning and Uncertainty Management Systems, Kluwer
    • Ph. Besnard and A. Hunter. Introduction to actual and potential contradictions. In Ph Besnard and A. Hunter, editors, Handbook of Defeasible Resoning and Uncertainty Management Systems, volume 2, pages 1-9. Kluwer, 1998. (Series editors: Dov Gabbay and Ph Smets).
    • (1998) Series editors: Dov Gabbay and Ph Smets , vol.2 , pp. 1-9
    • Besnard, P.1    Hunter, A.2
  • 16
    • 0030712510 scopus 로고    scopus 로고
    • On the logic of iterated belief revision
    • A. Darwiche and J. Pearl. On the logic of iterated belief revision. Artificial Intelligence, 89:1-29, 1997.
    • (1997) Artificial Intelligence , vol.89 , pp. 1-29
    • Darwiche, A.1    Pearl, J.2
  • 17
    • 84972535699 scopus 로고
    • On the theory of inconsistent formal systems
    • N. C. da Costa. On the theory of inconsistent formal systems. Notre Dame Journal of Formal Logic, 15:497-510, 1974.
    • (1974) Notre Dame Journal of Formal Logic , vol.15 , pp. 497-510
    • da Costa, N.C.1
  • 18
    • 1642444977 scopus 로고    scopus 로고
    • Quasi-possibilistic logic and its measures of information and conflict
    • D. Dubois, S. Konieczny, and H. Prade. Quasi-possibilistic logic and its measures of information and conflict. Fundamenta Informaticae, 57:101-125, 2003.
    • (2003) Fundamenta Informaticae , vol.57 , pp. 101-125
    • Dubois, D.1    Konieczny, S.2    Prade, H.3
  • 20
    • 45949116219 scopus 로고
    • Properties of measures of information in evidence and possibility theories
    • D. Dubois and H. Prade. Properties of measures of information in evidence and possibility theories. Fuzzy Sets and Systems, 24:161-182, 1987.
    • (1987) Fuzzy Sets and Systems , vol.24 , pp. 161-182
    • Dubois, D.1    Prade, H.2
  • 21
    • 36849093808 scopus 로고    scopus 로고
    • Reprinted in Fuzzy Sets and Systems, supplement to 100, 35-49, 1999.
    • Reprinted in Fuzzy Sets and Systems, supplement to Vol. 100, 35-49, 1999.
  • 22
    • 0029352639 scopus 로고
    • Argumentative logics: Reasoning from classically inconsistent information
    • M. Elvang-Goransson and A. Hunter. Argumentative logics: Reasoning from classically inconsistent information. Data and Knowledge Engineering, 16:125-145, 1995.
    • (1995) Data and Knowledge Engineering , vol.16 , pp. 125-145
    • Elvang-Goransson, M.1    Hunter, A.2
  • 24
    • 85030843209 scopus 로고
    • Making inconsistency respectable 1: A logical framework for inconsistency in reasoning
    • Fundamentals of Artificial Intelligence, of, Springer
    • D. Gabbay and A. Hunter. Making inconsistency respectable 1: A logical framework for inconsistency in reasoning. In Fundamentals of Artificial Intelligence, volume 535 of Lecture Notes in Computer Science, pages 19-32. Springer, 1991.
    • (1991) Lecture Notes in Computer Science , vol.535 , pp. 19-32
    • Gabbay, D.1    Hunter, A.2
  • 26
    • 36849016748 scopus 로고    scopus 로고
    • Measuring inconsistency in knowledgebases
    • Technical report, UCL Department of Computer Science
    • J. Grant and A. Hunter. Measuring inconsistency in knowledgebases. Technical report, UCL Department of Computer Science, 2004.
    • (2004)
    • Grant, J.1    Hunter, A.2
  • 27
    • 84972529423 scopus 로고
    • Classifications for inconsistent theories
    • J. Grant. Classifications for inconsistent theories. Notre Dame Journal of Formal Logic, 19:435-444, 1978.
    • (1978) Notre Dame Journal of Formal Logic , vol.19 , pp. 435-444
    • Grant, J.1
  • 30
    • 0034298177 scopus 로고    scopus 로고
    • Reasoning with contradictory information using quasi-classical logic
    • A. Hunter. Reasoning with contradictory information using quasi-classical logic. Journal of Logic and Computation, 10:677-703, 2000.
    • (2000) Journal of Logic and Computation , vol.10 , pp. 677-703
    • Hunter, A.1
  • 31
    • 84937412656 scopus 로고    scopus 로고
    • A semantic tableau version of first-order quasi-classical logic
    • Quantitative and Qualitative Approaches to Reasoning with Uncertainty, Springer
    • A. Hunter. A semantic tableau version of first-order quasi-classical logic. In Quantitative and Qualitative Approaches to Reasoning with Uncertainty, LNCS. Springer, 2001. 544-556.
    • (2001) LNCS , pp. 544-556
    • Hunter, A.1
  • 34
    • 36849085268 scopus 로고    scopus 로고
    • Measuring inconsistency in first-order knowledge
    • Technical report, UCL Department of Computer Science
    • A. Hunter. Measuring inconsistency in first-order knowledge. Technical report, UCL Department of Computer Science, 2003.
    • (2003)
    • Hunter, A.1
  • 35
    • 23744450448 scopus 로고    scopus 로고
    • Logical comparison of inconsistent perspectives using scoring functions
    • in press
    • A. Hunter. Logical comparison of inconsistent perspectives using scoring functions. Knowledge and Information Systems Journal, 2004. (in press).
    • (2004) Knowledge and Information Systems Journal
    • Hunter, A.1
  • 36
    • 0347252963 scopus 로고
    • A logical measure function
    • J. Kemeny. A logical measure function. Journal of Symbolic Logic, 18:289-308, 1953.
    • (1953) Journal of Symbolic Logic , vol.18 , pp. 289-308
    • Kemeny, J.1
  • 43
    • 0036797666 scopus 로고    scopus 로고
    • Merging information under constraints: A qualitative framework
    • S. Konieczny and R. Pino-Pérez. Merging information under constraints: a qualitative framework. Journal of Logic and Computation, 12(5):773-808, 2002.
    • (2002) Journal of Logic and Computation , vol.12 , Issue.5 , pp. 773-808
    • Konieczny, S.1    Pino-Pérez, R.2
  • 44
    • 0025462359 scopus 로고
    • Nonmonotonic reasoning, preferential models and cumulative logics
    • S. Kraus, D. Lehmann, and M. Magidor. Nonmonotonic reasoning, preferential models and cumulative logics. Artificial Intelligence, 44:167-207, 1990.
    • (1990) Artificial Intelligence , vol.44 , pp. 167-207
    • Kraus, S.1    Lehmann, D.2    Magidor, M.3
  • 45
    • 0347125425 scopus 로고
    • T. Kuipers, editor, Rodopi, Amsterdam
    • T. Kuipers, editor. What is closer-to-the-truth? Rodopi, Amsterdam, 1987.
    • (1987) What is closer-to-the-truth
  • 47
    • 0026867827 scopus 로고
    • What does a conditional knowledge base entail?
    • D. Lehmann and M. Magidor. What does a conditional knowledge base entail? Artificial Intelligence, 55:1-60, 1992.
    • (1992) Artificial Intelligence , vol.55 , pp. 1-60
    • Lehmann, D.1    Magidor, M.2
  • 50
    • 0028368688 scopus 로고
    • Resolving contradictions: A plausible semantics for inconsistent systems
    • E. Lozinskii. Resolving contradictions: A plausible semantics for inconsistent systems. Journal of Automated Reasoning, 12:1-31, 1994.
    • (1994) Journal of Automated Reasoning , vol.12 , pp. 1-31
    • Lozinskii, E.1
  • 51
    • 36849076084 scopus 로고    scopus 로고
    • On knowledge evolution: Acquisition, revision, contraction
    • E. Lozinskii. On knowledge evolution: Acquisition, revision, contraction. Journal of Applied Non-Classical Logic, 7:177-212, 1997.
    • (1997) Journal of Applied Non-Classical Logic , vol.7 , pp. 177-212
    • Lozinskii, E.1
  • 53
    • 0000482243 scopus 로고
    • On inferences from inconsistent information
    • R. Manor and N. Rescher. On inferences from inconsistent information. Theory and Decision, 1:179-219, 1970.
    • (1970) Theory and Decision , vol.1 , pp. 179-219
    • Manor, R.1    Rescher, N.2
  • 59
    • 0010009429 scopus 로고    scopus 로고
    • Logical systems for defeasible argumentation
    • D Gabbay, editor, Kluwer
    • H. Prakken and G. Vreeswijk. Logical systems for defeasible argumentation. In D Gabbay, editor, Handbook of Philosophical Logic. Kluwer, 2000.
    • (2000) Handbook of Philosophical Logic
    • Prakken, H.1    Vreeswijk, G.2
  • 60
    • 0039979569 scopus 로고
    • Minimally inconsistent LP
    • G. Priest. Minimally inconsistent LP. Studia Logica, 50:321-331, 1991.
    • (1991) Studia Logica , vol.50 , pp. 321-331
    • Priest, G.1
  • 62
    • 0023329093 scopus 로고
    • A theory of diagnosis from first principles
    • R. Reiter. A theory of diagnosis from first principles. Artificial Intelligence, 32:57-95, 1987.
    • (1987) Artificial Intelligence , vol.32 , pp. 57-95
    • Reiter, R.1
  • 65
    • 0003984043 scopus 로고
    • Dover Publications, New York, Second revised edition
    • L. J. Savage. The foundations of statistics. Dover Publications, New York, 1971. Second revised edition.
    • (1971) The foundations of statistics
    • Savage, L.J.1
  • 66
    • 0029290445 scopus 로고
    • Tractable reasoning via approximation
    • M. Schaerf and M. Cadoli. Tractable reasoning via approximation. Artificial Intelligence, 74:249-310, 1995.
    • (1995) Artificial Intelligence , vol.74 , pp. 249-310
    • Schaerf, M.1    Cadoli, M.2
  • 68
    • 84856043672 scopus 로고
    • A mathematical theory of communication
    • C. Shannon. A mathematical theory of communication. Bell System Technical Journal, 27:379-423, 1948.
    • (1948) Bell System Technical Journal , vol.27 , pp. 379-423
    • Shannon, C.1
  • 69
    • 0000731447 scopus 로고
    • Ordinal conditional functions: A dynamic theory of epistemic states
    • W. L. Harper and B. Skyrms, editors, Princeton University Press
    • W. Spohn. Ordinal conditional functions: a dynamic theory of epistemic states. In W. L. Harper and B. Skyrms, editors, Causation in Decision, Belief Change, and Statistics, volume 2, pages 105-134. Princeton University Press, 1987.
    • (1987) Causation in Decision, Belief Change, and Statistics , vol.2 , pp. 105-134
    • Spohn, W.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.