Linked bibliography for the SEP article "Belief Merging and Judgment Aggregation" by Gabriella Pigozzi

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  • Alchourrón, C.E., P. Gärdenfors, and D. Makinson, 1985, “On the Logic of Theory Change: Partial Meet Functions for Contraction and Revision”, Journal of Symbolic Logic, 50: 510–530. (Scholar)
  • Arrow, K., 1951/1963, Social Choice and Individual Values, New York: Wiley. (Scholar)
  • Baral, C., S. Kraus, and J. Minker, 1991, “Combining Multiple Knowledge Bases”, IEEE Transactions on Knowledge and Data Engineering, 3(2): 208–220. (Scholar)
  • Baral, C., S. Kraus, J. Minker, and V. Subrahmanian, 1992, “Combining Multiple Knowledge Bases Consisting of First Order Theories”, Computational Intelligence, 8(1): 45–71. (Scholar)
  • Bartholdi, J., C. Tovey, and M. Trick, 1989, “The Computational Difficulty of Manipulating an Election”, Social Choice and Welfare, 6: 227–241. (Scholar)
  • Baumeister, D., J. Rothe, and A.K. Selker, 2017, “Strategic Behavior in Judgment Aggregation”, in U. Endriss (ed.), Trends in Computational Social Choice, AI Access, pp. 145–168. (Scholar)
  • Benferhat, S., D. Dubois, J. Lang, H. Prade, A. Saffiotti, and P. Smets, 1998, “A General Approach for Inconsistency Handling and Merging Information in Prioritized Knowledge Bases”, in Proceedings of the Sixth International Conference on Principles of Knowledge Representation and Reasoning (KR’98), pp. 466–477. (Scholar)
  • Black, D., 1948, “On the Rationale of Group Decision Making”, The Journal of Political Economy, 56: 23–34. (Scholar)
  • Bloch, I., A. Hunter, A. Ayoun, S. Benferhat, P. Besnard, L. Cholvy, R. Cooke, D. Dubois and H. Fargier, 2001, “Fusion: general concepts and characteristics”, International Journal of Intelligent Systems, 16: 1107–1134. (Scholar)
  • Borgida, A. and T. Imielinski, 1984, “Decision Making in Committees: A Framework for Dealing with Inconsistency and Non-Monotonicity”, in Proceedings Workshop on Nonmonotonic Reasoning, pp. 21–32. (Scholar)
  • Brams, S.J., D.M. Kilgour, and M.R. Sanver, 2007a, “A Minimax Procedure for Negotiating Multilateral Treaties”, in R. Avenhaus and I. W. Zartman (eds.), Diplomacy Games: Formal Models and International Negotiations, Berlin: Springer, pp 265–282. (Scholar)
  • –––, 2007b, “A Minimax Procedure for Electing Committees”, Public Choice, 132: 401–420. (Scholar)
  • Cariani, F., M. Pauly, and J. Snyder, 2008, “Decision Framing in Judgment Aggregation”, Synthese, 163(1): 1–24. (Scholar)
  • Cevolani, G., 2014, “Truth Approximation, Belief Merging and Peer Disagreement”, Synthese, 191(11): 2383–2401. (Scholar)
  • Chapman, B., 2002, “Rational Aggregation”, Politics, Philosophy, Economics, 1(3): 337–354. (Scholar)
  • Chawathe, S., H. Garcia Molina, J. Hammer, K. Ireland, Y. Papakonstantinou, J. Ullman, and J. Widom, 1994, “The TSIMMIS Project: Integration of Heterogeneous Information Sources”, in Proceedings of IPSJ Conference, pp. 7–18. (Scholar)
  • Cholvy, L., 1998, “Reasoning about Merged Information”, in D.M. Gabbay, and Ph. Smets (eds.), Handbook of Defeasible Reasoning and Uncertainty Management Systems, Vol. 3, Dordrecht: Kluwer Academic Publishers, pp. 233–263. (Scholar)
  • Condorcet, N. de, 1785, Essai sur l’Application de l’Analyse à la Probabilité des Décisions Rendues à la Pluralité des Voix, Paris. (Scholar)
  • Delgrande, J.P., D. Dubois, and J. Lang, 2006, “Iterated Revision as Prioritized Merging”, in Proceedings of the 10th International Conference on Knowledge Representation and Reasoning (KR’06), pp. 210–220. (Scholar)
  • Dietrich, F., 2006, “Judgment Aggregation: (Im)Possibility Theorems”, Journal of Economic Theory, 126: 286–298. (Scholar)
  • –––, 2007, “A Generalised Model of Judgment Aggregation”, Social Choice and Welfare, 28(4): 529–565. (Scholar)
  • –––, 2016, “Judgment Aggregation and Agenda Manipulation”, Games and Economic Behavior, 95: 113–136. (Scholar)
  • Dietrich, F. and C. List, 2007a, “Arrow’s Theorem in Judgment Aggregation”, Social Choice and Welfare, 29: 19–33. (Scholar)
  • –––, 2007b, “Strategy-proof Judgment Aggregation”, Economics and Philosophy, 23: 269–300. (Scholar)
  • –––, 2008a, “Judgment Aggregation Without Full Rationality”, Social Choice and Welfare, 31: 15–39. (Scholar)
  • –––, 2008b, “Judgment Aggregation Under Constraints”, in T. Boylan and R. Gekker, eds., Economics, Rational Choice and Normative Philosophy, Routledge, pp. 111–123. (Scholar)
  • –––, 2010, “The Aggregation of Propositional Attitudes: Towards a General Theory”, in Oxford Studies in Epistemology, vol. 3, Oxford: Oxford University Press, pp. 215–234. (Scholar)
  • Dokow, E. and R. Holzman, 2010, “Aggregation of Binary Evaluations with Abstentions”, Journal of Economic Theory, 145(2): 544–561. (Scholar)
  • Duddy, C. and A. Piggins, 2012, “A Measure of Distance Between Judgment Sets”, Social Choice and Welfare, 39: 855–867. (Scholar)
  • Eckert, D. and C. Klamler, 2007, “How puzzling is judgment aggregation? Antipodality in distance-based aggregation rules”, Working paper, University of Graz. (Scholar)
  • Elmagarmid, A., M. Rusinliewicz, and A. Sheth (eds.), 1999, Management of Heterogeneous and Autonomous Database Systems, San Francisco, CA, USA: Morgan Kaufmann. (Scholar)
  • Elster, J., 2013, “Excessive Ambitions (II)”, Capitalism and Society, 8(1): Article 1 [Elster 2013 available online] (Scholar)
  • Endriss, U., 2016, “Judgment Aggregation”, in F. Brandt, V. Conitzer, U. Endriss, J. Lang, A. Procaccia (eds.), Handbook of Computational Social Choice, Cambridge: Cambridge University Press, pp. 399–426. (Scholar)
  • Endriss, U. and R. de Haan, 2015, “Complexity of the Winner Determination Problem in Judgment Aggregation: Kemeny, Slater, Tideman, Young”, in Proceedings of the 14th International Conference on Autonomous Agents and Multiagent Systems, IFAMAS, pp. 117–125. (Scholar)
  • Endriss, U., U. Grandi, and D. Porello, 2012, “Complexity of Judgment Aggregation”, Journal of Artificial Intelligence Research, 45: 481–514. (Scholar)
  • Everaere, P., S. Konieczny, and P. Marquis, 2007, “The Strategy-Proofness Landscape of Merging”, Journal of Artificial Intelligence Research (JAIR), 28: 49–105. (Scholar)
  • –––, 2015, “Belief Merging versus Judgment Aggregation”, in Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems (AAMAS 15), pp. 999–1007. (Scholar)
  • –––, 2017, “An Introduction to Belief Merging and its Links to Judgment Aggregation”, in U. Endriss (ed.), Trends in Computational Social Choice, AI Access Books, pp. 123–143. (Scholar)
  • Fermé, E. and S.O. Hansson, 2018, Belief Change. Introduction and Overview, Springer. (Scholar)
  • Gärdenfors, P., 1988, Knowledge in Flux: Modeling the Dynamics of Epistemic States, Cambridge, MA: MIT Press. (Scholar)
  • –––, 2006, “A Representation Theorem for Voting with Logical Consequences”, Economics and Philosophy, 22: 18–190. (Scholar)
  • Gauwin, O., S. Konieczny, and P. Marquis, 2005, “Conciliation and Consensus in Iterated Belief Merging”, in Proceedings of the 8th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Berlin: Springer, pp. 514–526. (Scholar)
  • Ginsberg, M., 1986, “Counterfactuals”, Artificial Intelligence, 30(1): 35–79. (Scholar)
  • Goldman, A., 1999, Knowledge in a Social World, Oxford: Oxford University Press. (Scholar)
  • –––, 2004, “Group Knowledge versus Group Rationality: Two Approaches to Social Epistemology”, Episteme, A Journal of Social Epistemology, 1(1): 11–22. (Scholar)
  • –––, 2010, “Social Epistemology”, The Stanford Encyclopedia of Philosophy (Summer 2010 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/sum2010/entries/epistemology-social/>. (Scholar)
  • Grégoire, E., 2004, “Extension of a Distance-based Fusion Framework”, in Proceedings of the 8th International Conference on Sensor Fusion: Architectures, Algorithms and Applications, pp. 282–286. (Scholar)
  • Grégoire, E. and S. Konieczny, 2006, “Logic-based Approaches to Information Fusion”, Information Fusion, 7: 4–18. (Scholar)
  • Grandi, U., 2012, Binary Aggregation with Integrity Constraints, Ph.D. thesis, ILLC, University of Amsterdam [Grandi 2012 available online]. (Scholar)
  • Grossi, D., 2009, “Unifying Preference and Judgment Aggregation”, in Proceedings of the 8th International Conference on Autonomous Agents and Multiagent Systems, pp. 217–224. (Scholar)
  • Grossi, D. and G. Pigozzi, 2014, Judgment Aggregation: A Primer, San Rafael, CA: Morgan & Claypool. (Scholar)
  • Hansson, S.O., 2011, “Logic of Belief Revision”, The Stanford Encyclopedia of Philosophy (Fall 2011 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/fall2011/entries/logic-belief-revision/>. (Scholar)
  • Hartmann, S., G. Pigozzi, and J. Sprenger, 2010, “Reliable Methods of Judgment Aggregation”, Journal of Logic and Computation, 20(2): 603–617. (Scholar)
  • Hartmann, S. and J. Sprenger, 2012, “Judgment Aggregation and the Problem of Tracking the Truth”, Synthese, 187(1): 209–221. (Scholar)
  • Hudry, O., 1989, Recherches d’Ordres Médians: Complexité, Algorithmique et Problèmes Combinatoires, Ph.D. thesis, Telecom Paris Tech. (Scholar)
  • Katsuno, H. and A.O. Mendelzon, 1991, “Propositional Knowledge Base Revision and Minimal Change”, Artificial Intelligence, 52: 263–294. (Scholar)
  • Kemeny, J., 1959, “Mathematics without numbers”, Daedalus, 88: 577–591. (Scholar)
  • Kim, W. (ed.), 1995, Modern Database Systems: The Object Model, Interoperability and Beyond, New York: Addison Wesley. (Scholar)
  • Konieczny, S., 2000, “On the Difference between Merging Knowledge Bases and Combining them”, in A.G. Cohn, F. Giunchiglia, and B. Selman, (eds.), KR2000: Principles of Knowledge Representation and Reasoning, San Francisco: Morgan Kaufmann, pp. 135–144. (Scholar)
  • Konieczny, S. and R. Pino Pérez, 1998, “On the Logic of Merging”, in Proceedings of the 6th International Conference on Principles of Knowledge Representation and Reasoning, San Francisco: Morgan Kaufmann, pp. 488–498. (Scholar)
  • –––, 1999, “Merging with Integrity Constraints”, in Proceedings of the 5th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty (ECSQARU ’99), LNAI 1638, pp. 233–244. (Scholar)
  • –––, 2002, “Merging Information under Constraints: A Logical Framework”, Journal of Logic and Computation, 12: 773–808. (Scholar)
  • Kornhauser, L.A., 1992, “Modeling Collegial Courts. II. Legal Doctrine”, Journal of Law, Economics, and Organization, 8: 441–470. (Scholar)
  • Kornhauser, L.A. and L.G. Sager, 1986, “Unpacking the Court”, Yale Law Journal, 96: 82–117. (Scholar)
  • –––, 1993, “The One and the Many: Adjudication in Collegial Courts”, California Law Review, 81: 1–51. (Scholar)
  • –––, 2004, “The Many as One: Integrity and Group Choice in Paradoxical Cases”, Philosophy & Public Affairs, 32(3): 249–276. (Scholar)
  • Kowalski, R., 1978, “Logic for data description”, in H.G.J. Minker (ed.), Logic and data bases, New York: Plenum, pp. 77–102. (Scholar)
  • Lang, J., M. Slavkovik, and S. Vesic, 2016, “Agenda Separability in Judgment Aggregation”, in Proceedings of the Thirtieth Conference on Artificial Intelligence, Palo Alto: Association for the Advancement of Artificial Intelligence (AAAI), pp. 1016–1022. (Scholar)
  • Lang, J., G. Pigozzi, M. Slavkovik, L. van der Torre, and S. Vesic, 2017, “A Partial Taxonomy of Judgment Aggregation Rules and their Properties”, Social Choice and Welfare, 48(2): 327–356. (Scholar)
  • Liberatore, P. and M. Schaerf, 1995, “Arbitration: a Commutative Operator for Belief Revision”, in Proceedings of the Second World Conference on the Fundamentals of Artificial Intelligence, pp. 217–228. (Scholar)
  • –––, 1998, “Arbitration (or How to Merge Knowledge Bases)”, IEEE Transactions on Knowledge and Data Engineering, 10(1): 76–90. (Scholar)
  • Lin, J., 1995, Frameworks for Dealing with Conflicting Information and Applications, Ph.D. thesis, University of Toronto. (Scholar)
  • –––, 1996, “Integration of Weighted Knowledge Bases”, Artificial Intelligence, 83: 363–378. (Scholar)
  • Lin, J. and A. Mendelzon, 1996, “Merging databases under constraints”, International Journal of Cooperative Information Systems, 7: 55–76. (Scholar)
  • –––, 1999, “Knowledge Base Merging by Majority”, in Dynamic Worlds: From the Frame Problem to Knowledge Management, R. Pareschi and B. Fronhöfer (eds), Norwell, MA: Kluwer, pp. 195–218. (Scholar)
  • List, C., 2002, “A Possibility Theorem on Aggregation over Multiple Interconnected Propositions”, Mathematical Social Sciences, 45(1): 1–13. (Scholar)
  • –––, 2013, “Social Choice Theory”, The Stanford Encyclopedia of Philosophy (Winter 2013 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/win2013/entries/social-choice/>. (Scholar)
  • List, C. and P. Pettit, 2002, “Aggregating sets of judgments: an impossibility result”, Economics and Philosophy, 18: 89–110. (Scholar)
  • –––, 2004, “Aggregating Sets of Judgments: Two Impossibility Results Compared”, Synthese, 140: 207–235. (Scholar)
  • List, C. and C. Puppe, 2009, “Judgment Aggregation: A Survey”, in P. Anand, C. Puppe, and P. Pattanaik (eds.), The Handbook of Rational and Social Choice, Oxford: Oxford University Press, pp. 457–482. (Scholar)
  • Meyer, T., A. Ghose, and S. Chopra, 2001, “Social Choice, Merging and Elections”, in Proceedings of the 6th European Conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty, Benferhat and Besnard (eds.), Vol. 2143 of Lecture Notes in Artificial Intelligence, Berlin: Springer, pp. 466–477. (Scholar)
  • Miller, M.K. and D. Osherson, 2009, “Methods for Distance-based Judgment Aggregation”, Social Choice and Welfare, 32(4): 575–601. (Scholar)
  • Mongin, P., 2008, “Factoring Out the Impossibility of Logical Aggregation”, Journal of Economic Theory, 141: 100–113. (Scholar)
  • Morreau, M., 2014, “Arrow’s Theorem”, The Stanford Encyclopedia of Philosophy (Winter 2014 Edition), Edward N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/win2014/entries/arrows-theorem/>. (Scholar)
  • Pauly, M. and M. van Hees, 2006, “Logical Constraints on Judgment Aggregation”, Journal of Philosophical Logic, 35: 569–585. (Scholar)
  • Pettit, P., 2001, “Deliberative Democracy and the Discursive Dilemma”, Philosophical Issues, 11: 268–299. (Scholar)
  • Pigozzi, G., 2006, “Belief merging and the discursive dilemma: an argument-based account to paradoxes of judgment aggregation”, Synthese, 152: 285–298. (Scholar)
  • Poisson, S.D., 1837, Recherches sur la probabilité des jugements en matière criminelle et en matière civile: précédées des règles générales du calcul des probabilités, Paris. (Scholar)
  • Porello, D., 2017, “Judgment Aggregation in Non-Classical Logics”, Journal of Applied Non-Classical Logics, 27(1–2): 106–139. (Scholar)
  • Reiter, R., 1988, “On Integrity Constraints”, in M.Y. Vardi (ed.), Proceedings of the Second Conference on the Theoretical Aspects of Reasoning about Knowledge, San Francisco: Morgan Kaufmann, pp. 97–111. (Scholar)
  • Revesz, P., 1993, “On the Semantics of Theory Change: Arbitration between Old and New Information”, in C. Beeri (ed.), Proceedings of the Twelfth ACM Symposium on Principles of Database Systems, Washington D.C., pp. 71–82. (Scholar)
  • –––, 1997, “On the Semantics of Arbitration”, International Journal of Algebra and Computation, 7(2): 133–160. (Scholar)
  • Roth, A.S., 2011, “Shared Agency”, The Stanford Encyclopedia of Philosophy (Spring 2011 Edition), E.N. Zalta (ed.), URL = <https://plato.stanford.edu/archives/spr2011/entries/shared-agency>. (Scholar)
  • Sen, A.K., 1970, Collective Choice and Social Welfare, San Francisco: Holden-Day. (Scholar)
  • Spector, H., 2009, “The Right to a Constitutional Jury”, Legisprudence, 3(1): 111–123. (Scholar)
  • Subrahmanian, V.S., 1994, “Amalgamating Knowledge Bases”, ACM Transactions on Database Systems, 19(2): 291–331. (Scholar)
  • Vacca, R., 1921, “Opinioni Individuali e Deliberazioni Collettive”, Rivista Internazionale di Filosofia del Diritto, 52: 52–59. (Scholar)
  • Willamson, J., 2009, “Aggregating Judgments by Merging Evidence”, Journal of Logic and Computation, 19(3): 461–473. (Scholar)
  • Xuefeng, W., 2018, “Judgment Aggregation in Nonmonotonic Logic”, Synthese, 195(8): 3651–3683. (Scholar)

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