Hybrid argumentation systems for structured news reports

Knowledge Engineering Review

Volumn 16, Issue 4, 2001, Pages 295-329

  Hunter, Anthony ^a  

^a UNIVERSITY COLLEGE LONDON   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DECISION MAKING; DECISION SUPPORT SYSTEMS; FORMAL LOGIC; GRAPHIC METHODS; MEDICAL APPLICATIONS; PROBABILITY; PROBLEM SOLVING;

HYBRID ARGUMENTATION SYSTEMS; KNOWLEDGE MANAGEMENT;

KNOWLEDGE ENGINEERING;

EID: 0348134542     PISSN: 02698889     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0269888901000285     Document Type: Review

References (99)

1. Abiteboul, S, 1997, "Querying semi-structured data" in International Conference on Database Theory 1-18.
2. Antoniou, G, 1997, Non-monotonic Reasoning MIT Press.
3. Axelrod, R (ed), 1976, Structure of Decisions: The Cognitive Maps of the Political Elites Princeton University Press.
4. Belnap, N, 1977, "A useful four valued logic" in G Epstein (ed.) Modern Uses of Multiple-valued Logic Reidel.
5. Benferhat, S, Dubois, D and Prade, H, 1993, "Argumentative inference in uncertain and inconsistent knowledge bases" in Proceedings of Uncertainty in Artificial Intelligence 1449-1445.
6. Benferhat, S, Dubois, D and Prade, H, 1995, "A logical approach to reasoning under inconsistency in stratified knowledge bases" in Ch Froidevaux and J Kohlas (eds) Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU'95), Volume 956 of Lecture Notes in Computer Science 36-43.
7. Besnard, Ph and Hunter, A, 2000, "Towards a logic-based theory of argumentation" in Proceedings of the Seventeenth National Conference on Artificial Intelligence (AAAI'2000) 411-416.
8. Besnard, Ph and Hunter, A, 2001, "A logic-based theory of deductive arguments" Artificial Intelligence 128 203-235.
9. Besnard, Ph, 1989, An Introduction to Default Logic Springer.
10. Bondarenko, A, Dung, P, Kowalski, R and Toni, F, 1997, "An abstract argumentation-theoretic approach to default reasoning" Artificial Intelligence 93 63-101.
11. Brewka, G, 1991, Non-monotonic Reasoning: Logical Foundations of Commonsense Cambridge University Press.
12. Brewka, G, Dix, J and Konolige, K, 1997, Non-monotonic Reasoning: An Overview CLSI Publications.
13. Brewka., G, 1989, "Preferred subtheories: an extended logical framework for default reasoning" in Proceedings of the Eleventh International Conference on Artificial Intelligence (IJCAI'89) 1043-1048.
14. Brewka., G, 1994, "Reasoning about priorities in default logic" in Proceedings of the Twelfth National Conference on Artificial Intelligence (AAAI'94) 420-425.
15. Buneman, P, 1997 "Semistructured data" in Proceedings of the ACM Symposium on Principles of Database Systems 117-121.
16. Buntine, W, 1996, "A guide to the literature on learning probabilistic networks from data" IEEE Transactions on Knowledge and Data Engineering 8 195-210.
17. Carbogim, D, Robertson, D and Lee, J, 2000, "Argument-based applications to knowledge engineering Knowledge Engineering Review 15 119-149.
18. Cayrol, C, Royer, V and Saurel, C, 1993, "Management of preferences in assumption based reasoning" in Information Processing and the Management of Uncertainty in Knowledge based Systems (IPMU'92) Volume 682 of Lecture Notes in Computer Science 13-22.
19. Chesnevar, C, Maguitman, A and Loui, R, 2001, "Logical models of argument" ACM Computing Surveys 32 337-383.
20. Cholvy, L, 1995, "Automated reasoning with merged contradictory information whose reliability depends on topics" in Proceedings of the European Conference on Symbolic and Quantitative Approaches to Reasoning and Uncertainty (ECSQARU) 125-132.
21. Clark, P, Thompson, J, Holmback, M and Duncan, L, 2000, "Exploiting a thesaurus-based semantic net for knowledgebased search" in Proceedings of the 12th Innovative Applications of Artificial Intelligence (IAAI'2000) 988-995.
22. Cowie, J and Lehnert, W, 1996, "Information extraction" Communications of the ACM 39 81-91.
23. Cussens, J, Hunter, A and Srinivasan, A, 1993, "Generating explicit orderings for non-monotonic logics" in Proceedings of the Eleventh National Conference on Artificial Intelligence (AAAI'93) 420-425.
24. Da Costa, NC, 1974, "On the theory of inconsistent formal systems Notre Dame Journal of Formal Logic 15 497-510.
25. De Kleer, J and Williams, B, 1987, "Diagnosing mulitple faults" Artificial Intelligence 32 97-130.
26. Dung, P, 1995, "On the acceptability of arguments and its fundamental role in nonmonotonic reasoning, logic programming, and n-person games Artificial Intelligence 77 321-357.
27. Dung, P, Kowalski, R and Toni, F, 1998, "Argumentation-theoretic proof procedures for default reasoning" Technical report, Department of Computing, Imperial College, London.
28. Duval, B and Nicolas, P, 1999, "Learning default theories" in A Hunter and S Parsons (eds) Symbolic and Quantitative Approaches to Reasoning and Uncertainty Volume 1638 of Lecture Notes in Computer Science 148-159.
29. Elvang-Gøransson, M and Hunter, A, 1995, "Argumentative logics: reasoning from classically inconsistent information Data and Knowledge Engineering 16 125-145.
30. Elvang-Gøransson, M, Krause, P and Fox, J, 1993, "Dialectic reasoning with classically inconsistent information" in Proceedings of the Ninth Conference on Uncertainty in Artificial Intelligence 114-121.
31. Erdmann, M and Studer, R, 2001, "How to structure and access XML documents with ontologies Data and Knowledge Engineering 36 317-335.
32. Fisher, A, 1988, The Logic of Real Arguments Cambridge University Press.
33. Fox, J and Das, S, 2000, Safe and Sound: Artificial Intelligence in Hazardous Applications MIT Press.
34. Fox, J, Johns, N and Rahmanzadeh, A, 1998, "Disseminating medical knowledge: The PRO-forma approach" Artificial Intelligence in Medicine 14 157-182.
35. Fox, J, Krause, P and Ambler, S, 1992, "Arguments, contradictions, and practical reasoning" in Proceedings of the 10th European Conference on Artificial Intelligence 623-627.
36. Fox, J, Krause, P and Elvang-Gøransson, M, 1993, "Argumentation as a general framework for uncertain reasoning" in Proceedings of the 9th Conference on Uncertainty in Artificial Intelligence 428-434.
37. Gabbay, D, Hodkinson, I and Reynolds, M, 1994, Temporal Logic: Mathematical Foundations and Computational Aspects Oxford University Press.
38. Gabbay, D, Laenens, E and Vermeir, D, 1991, "Credulous vs. sceptical semantics" in Principles of Knowledge Representation and Reasoning: Proceedings of the Second International Conference 208-217.
39. Gebhardt, J and Kruse, R, 1998, "Background and perspectives of possibilistic graphical models" in A Hunter and S Parsons (eds) Applications of Uncertainty Formalisms (Lecture Notes in Computer Science) Springer.
40. Geffner, H, 1996, "A formal framework for causal modelling and argumentation" in D Gabbay and H-J Ohlbach (eds) Practical Reasoning Number 1085 in Lecture Notes in Computer Science Springer.
41. Gordon, TF and Karaçapilidis, N, 1997, "The Zeno argumentation framework" in Proceedings of the Sixth International Conference on Artificial Intelligence and Law 10-18.
42. Grishman, R, 1997 "Information extraction techniques and challenges" in M Pazienza (ed.) Information extraction Springer.
43. Haenni, R, 1998, "Modelling uncertainty with propositional assumptions-based systems" in A Hunter and S Parsons (eds) Applications of Uncertainty Formalisms (Lecture Notes in Computer Science) Springer.
44. Haenni, R, Kohlas, J and Lehmann, N, 2000, "Probabilistic argumentation systems" in D Gabbay and Ph Smets (eds) Handbook of Defeasible Reasoning and Uncertainty Management Systems Volume 5 Kluwer.
45. Hage, J, 1997, Reasoning with Rules: An Essay on Legal Reasoning and Its Underlying Logic Kluwer.
46. Hessami, A and Hunter, A, 2001, "Formalisation of weighted factor analysis" Knowledge-Based Systems (in press).
47. Hessami, A, 1999, "Risk: a missed opportunity" Risk and Continuity Journal 2 17-26.
48. Hunter, A and McBrien, P, 1998, "Default databases: extending the approach of deductive databases using default logic" Data and Knowledge Engineering 26 135-160.
49. Hunter, A, 2000a, "Merging inconsistent items of structured text" Data and Knowledge Engineering 34 305-332.
50. Hunter, A, 2000b, "Ramification analysis using causal mapping" Data and Knowledge Engineering 32 1-27.
51. Hunter, A, 2000c, "Reasoning with contradictory information using quasi-classical logic" Journal of Logic and Computation 10 677-703.
52. Hunter, A, 2000d, "Reasoning with inconsistency in structured text" Knowledge Engineering Review 15 317-337.
53. Hunter, A, 2001a, "First-order quasi-classical logic" in S Benferhat and Ph Besnard (eds) Qualitative and Quantitative Approaches to Reasoning with Uncertainty Volume 2143 of Lecture Notes in Computer Science Springer.
54. Hunter, A, 2001b, "Merging structured text using temporal knowledge"Data and Knowledge Engineering (in press).
55. Hunter, A, 2001c, "Ramification analysis with structured news reports using temporal argumentation" Technical report, Department of Computer Science, University College London.
56. Jakobovits, H and Vermeir, D, 2000, "Robust semantics for argumentation frameworks" Journal of Logic and Computation 9 215-261.
57. Jensen, F, 1996, An Introduction to Bayesian Networks UCL Press.
58. Jensen, F, 2001, Bayesian Networks and Decision Diagrams Springer.
59. Kakas, A, Kowalski, R and Toni, F, 1993, "Abductive logic programming" Journal of Logic and Computation 2 719-707.
60. Krause, P, Fox, J and Judson, P, 1995a, "Is there a role for qualitative risk assessment" in Proceedings of the Eleventh Conference on Uncertainty in Artificial Intelligence 386-393.
61. Krause, P, Ambler, S, Elvang-Gørannson, M and Fox, J, 1995b, "A logic of argumentation for reasoning under uncertainty" Computational Intelligence 11 113-131.
62. Laenens, A and Vermeir, D, 1990, "A fixpoint semantics for ordered logic" Journal of Logic and Computation 1 159-185.
63. Loui, RP, Norman, J, Alpeter, J, Pinkard, D, Craven, D, Linsday, J and Foltz, M, 1997, "Progress on Room 5: A testbed for public interactive semi-formal legal argumentation" in Proceedings of the Sixth International Conference on Artificial Intelligence and Law 207-214.
64. McBurney, P and Parsons, S, 1999, "Truth or consequences: using argumentation to reason about risk" Technical report, Department of Computer Science, University of Liverpool.
65. McBurney, P and Parsons, S, 2001, "Representing epistemic uncertainty by means of dialectical argumentation" Annals of Mathematics and Artificial Intelligence 32 125-169.
66. Mann, W and Thompson, S, 1988, "Rhetorical structure theory: towards a function theory of text organization" Text 3 243-281.
67. Manor, R and Rescher, N, 1970, "On inferences from inconsistent information" Theory and Decision 1 179-219.
68. Miller, G, 1995, "WordNet: a lexical database for English" Communications of the ACM 38(11) 39-41.
69. Niemela, I, 1995, "Towards efficient default reasoning" in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'95) 312-318.
70. Nute, D, 1988, "Defeasible reasoning and decision support systems" Decision Support Systems 4 97-110.
71. Parsons, S, 1996, "Defining normative systems for qualitative argumentation" in D Gabbay and H-J Ohlbach (eds) Practical Reasoning Volume 1085 of Lecture Notes in Computer Science.
72. Parsons, S, 1998, "A proof theoretic approach to qualitative probabilistic reasoning" International Journal of Approximate Reasoning 19 265-297.
73. Parsons, S, 2001, Qualitative approaches to reasoning under uncertainty MIT Press.
74. Parsons, S, Sierra, C, and Jennings, N, 1998, "Agents that reason and negotiate by arguing" Journal of Logic and Computation 8 261-292.
75. Pinkas, G and Loui, R, 1992, "Reasoning from inconsistency: a taxonomy of principles for resolving conflict" in Principles of Knowledge Representation and Reasoning: Proceedings of the Third International Conference 709-719.
76. Pollock, J, 1987, "Defeasible reasoning" Cognitive Science 11 481-518.
77. Pollock, J, 1992, "How to reason defeasibly" Artificial Intelligence 57 1-42.
78. Poole, D, 1988, "A logical framework for default reasoning" Artificial Intelligence 36 27-47.
79. Prakken, H and Sartor, G, 1997, "Argument-based extended logic programming with defeasible priorities" Journal of Applied Non-classical Logics 7 25-75.
80. Prakken, H and Vreeswijk, G, 2000, "Logical systems for defeasible argumentation" in D Gabbay (ed.) Handbook of Philosophical Logic Kluwer.
81. Prakken, H, 1997, Logical Tools for Modelling Legal Argument Kluwer.
82. Reiter, R, 1980, "Default logic" Artificial Intelligence 13 81-132.
83. Reiter, R, 1987, "A theory of diagnosis from first principles" Artificial Intelligence 32 57-95.
84. Schaub, T, 1998, The Automation of Reasoning with Incomplete Information; From Semantic Foundation to Efficient Computation Springer.
85. Sillince, J, 1996, "Would electronic argumentation improve your ability to express yourself?" in B Gorayska and J May (eds) Cognitive Technology: In search of a Humane Interface Elsevier.
86. Sillince, J, 1997, "Intelligent argumentation systems: requirements, models, research agenda, and applications" in A Kent (ed.) Encyclopedia of Library and Information Science Marcel Dekker.
87. Simari, G and Loui, R, 1992, "A mathematical treatment of defeasible reasoning and its implementation" Artificial Intelligence 53 125-157.
88. Toulmin, S, 1958, The Use of Argument Cambridge University Press.
89. Van Eemeren, F, Grootendorst, R, and Kruiger, T, 1987, Handbook of Argumentation Theory Foris.
90. Verheij, B, 1995, "Arguments and defeat in argument-based nonmonotonic reasoning" in C Pinto-Ferreira and N Mamede (eds) Progress in Artificial Intelligence: 7th Portugese Conference on Artificial Intelligence (EPIA'95), Volume 990 of Lecture Notes in Computer Science Springer.
91. Verheij, B, 1999, "Automated argument assistance for lawyers" in Proceedings of the International Conference on Artificial Intelligence and Law.
92. Verheij, B, Hage, JC, and van der Herik, HJ, 1998, "An integrated view on rules and principles" Artificial Intelligence and Law 6 3-26.
93. Vermeir, D, Laenens, E and Geerts, P, 1998, "Defeasible logics" in Handbook of Defeasible Reasoning and Uncertainty Management Volume 2 Kluwer.
94. Vreeswijk, G, 1997, "Abstract argumentation systems" Artificial Intelligence 90 225-279.
95. Wagner, G, 1991, "Ex contradictione nihil sequitur" in Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI'91) 538-546.
96. Walton, D, 1989, Informal Logic: A Handbook for Critical Argumentation Cambridge University Press.
97. Wellman, M, 1988, "Qualitative probabilistic networks for planning under uncertainty" in J Lemmer and L Kanal (eds) Uncertainty in Artificial Intelligence 2 Elsevier.
98. Wellman, M, 1990, "Fundamental concepts of qualitative probabilistic networks" Artificial Intelligence 44 257-304.
99. Wilks, Y, Slator, B, and Guthrie, L, 1996, Electric Words: Dictionaries, Computers, and Meanings MIT Press.