• No results found

More than the sum of its parts : compact preference representation over combinatorial domains - Bibliography

N/A
N/A
Protected

Academic year: 2021

Share "More than the sum of its parts : compact preference representation over combinatorial domains - Bibliography"

Copied!
16
0
0

Bezig met laden.... (Bekijk nu de volledige tekst)

Hele tekst

(1)

UvA-DARE is a service provided by the library of the University of Amsterdam (https://dare.uva.nl)

More than the sum of its parts : compact preference representation over

combinatorial domains

Uckelman, J.D.

Publication date 2009

Link to publication

Citation for published version (APA):

Uckelman, J. D. (2009). More than the sum of its parts : compact preference representation over combinatorial domains. Institute for Logic, Language and Computation.

General rights

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly personal, individual use, unless the work is under an open content license (like Creative Commons).

Disclaimer/Complaints regulations

If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the material inaccessible and/or remove it from the website. Please Ask the Library: https://uba.uva.nl/en/contact, or a letter to: Library of the University of Amsterdam, Secretariat, Singel 425, 1012 WP Amsterdam, The Netherlands. You will be contacted as soon as possible.

(2)

A. Andersson, M. Tenhunen, and F. Ygge. Integer programming for combinatorial auction winner determination. In 4th International Conference on Multi-Agent Systems (ICMAS 2000), pp. 39–46. IEEE Computer Society, 2000. Cited on pp. 147, 161, 163.

H. Anton. Elementary Linear Algebra. Wiley & Sons, seventh ed., 1994. Cited on p. 39.

K.R. Apt, F. Rossi, and K.B. Venable. Comparing the notions of optimality in CP-nets, strategic games and soft constraints. Annals of Mathematics and Artificial Intelligence, 52(1):25–54, 2008. Cited on p. 15.

K.J. Arrow. Social Choice and Individual Values. Yale University Press, second ed., 1970. Cited on p. 184.

G. Ausiello, P. Crescenzi, G. Gambosi, V. Kann, A. Marchetti-Spaccamela, and M. Protasi. Complexity and Approximation. Springer-Verlag, 1999. Cited on p. 105.

F. Baader, D. Calvanese, D.L. McGuinness, D. Nardi, and P.F. Patel-Schneider. The Description Logic Handbook: Theory, Implementation, and Applications. Cambridge University Press, second ed., 2007. Cited on p. 23.

F. Bacchus and A.J. Grove. Graphical models for preference and utility. In P. Besnard and S. Hanks, eds., UAI ’95: Proceedings of the Eleventh An-nual Conference on Uncertainty in Artificial Intelligence, August 18–20, 1995, Montreal, Quebec, Canada, pp. 3–10. Morgan Kaufmann, 1995. Cited on p. 26. M.O. Ball, G.L. Donohue, and K. Hoffman. Auctions for the safe, efficient, and

equitable allocation of airspace system resources. In Cramton et al. [2006], pp. 507–538. Cited on p. 3.

(3)

B. Benhamou, L. Sais, and P. Siegel. Two proof procedures for a cardinality based language in propositional calculus. In P. Enjalbert, E.W. Mayr, and K.W. Wagner, eds., STACS 94, 11th Annual Symposium on Theoretical Aspects of Computer Science, Caen, France, February 24–26, 1994, Proceedings, vol. 775 of Lecture Notes in Computer Science, pp. 71–82. Springer, 1994. Cited on p. 195.

J.-P. Benoˆıt and L.A. Kornhauser. Voting simply in the election of assemblies. Technical Report RR 91-32, New York University Starr Center for Applied Economics, June 1991. Cited on p. 190.

J.-P. Benoˆıt and L.A. Kornhauser. Only a dictatorship is efficient or neutral. Technical report, New York University School of Law, 2006. Cited on p. 190. J.-P. Benoˆıt and L.A. Kornhauser. Social choice in a representative democracy.

American Political Science Review, 88(1):185–192, 1994. Cited on p. 190. S. Bistarelli, U. Montanari, F. Rossi, T. Schiex, G. Verfaillie, and H. Fargier.

Semiring-based CSPs and valued CSPs: Frameworks, properties, and compari-son. Constraints, 4(3):199–240, 1999. Cited on p. 24.

L. Blumrosen and N. Nisan. Combinatorial auctions. In N. Nisan, T. Roughgarden, ´

E. Tardos, and V.V. Vazirani, eds., Algorithmic Game Theory, pp. 267–300. Cambridge University Press, 2007. Cited on p. 119.

E. Bonzon, M.-C. Lagasquie-Schiex, J. Lang, and B. Zanuttini. Compact prefer-ence representation and Boolean games. Autonomous Agents and Multi-Agent Systems, 18(1):1–35, 2009. Cited on p. 24.

C. Boutilier. Solving concisely expressed combinatorial auction problems. In Proceedings of the Eighteenth National Conference on Artificial Intelligence and Fourteenth Conference on Innovative Applications of Artificial Intelligence (AAAI/IAAI 2002). AAAI Press, 2002. Cited on pp. 144, 147, 148, 149. C. Boutilier, ed. Proceedings of the 21st International Joint Conference on Artificial

Intelligence (IJCAI-2009), 2009. Cited on pp. 209, 212, 220.

C. Boutilier and H.H. Hoos. Bidding languages for combinatorial auctions. In Nebel [2001], pp. 1211–1217. Cited on pp. 27, 28, 144, 147, 149.

C. Boutilier, R. Brafman, C. Geib, and D. Poole. A constraint-based approach to preference elicitation and decision making. In AAAI Spring Symposium on Qualitative Decision Theory, 1997. Cited on p. 14.

C. Boutilier, R.I. Brafman, H.H. Hoos, and D. Poole. Reasoning with conditional ceteris paribus preference statements. In K.B. Laskey and H. Prade, eds.,

(4)

UAI ’99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30–August 1, 1999, pp. 71–80. Morgan Kaufmann, 1999a. Cited on p. 14.

C. Boutilier, M. Goldszmidt, and B. Sabata. Sequential auctions for the allocation of resources with complementarities. In T. Dean, ed., Proceedings of the Sixteenth International Joint Conference on Artificial Intelligence (IJCAI 99), pp. 527–523. Morgan Kaufmann, 1999b. Cited on p. 163.

C. Boutilier, F. Bacchus, and R.I. Brafman. UCP-networks: A directed graphical representation of conditional utilities. In J.S. Breese and D. Koller, eds., UAI ’01: Proceedings of the 17th Conference in Uncertainty in Artificial Intelligence,

University of Washington, Seattle, Washington, USA, August 2–5, 2001, pp. 56–64. Morgan Kaufmann, 2001. Cited on p. 16.

C. Boutilier, R.I. Brafman, C. Domshlak, H.H. Hoos, and D. Poole. CP-nets: A tool for representing and reasoning with conditional ceteris paribus preference statements. Journal of Artifcial Intelligence Research (JAIR), 21:135–191, 2004. Cited on pp. 15, 16, 35.

S. Bouveret. Allocation et partage ´equitables de ressources indivisibles: mod´elisation, complexit´e et algorithmique. PhD thesis, Supa´ero/University of Toulouse, 2007. Cited on pp. 101, 102, 120, 147.

S. Bouveret and J. Lang. Efficiency and envy-freeness in fair division of indivisible goods: Logical representation and complexity. Journal of Artifcial Intelligence Research (JAIR), 32:525–564, 2008. Cited on p. 102.

S. Bouveret, H. Fargier, J. Lang, and M. Lemaˆıtre. Allocation of indivisible goods: A general model and some complexity results. In F. Dignum, V. Dignum, S. Koenig, S. Kraus, M.P. Singh, and M. Wooldridge, eds., 4th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2005), July 25–29, 2005, Utrecht, The Netherlands, pp. 1309–1310. ACM, 2005. Cited on p. 120.

S. Bouveret, U. Endriss, and J. Lang. Conditional importance networks: A graphical language for representing ordinal, monotonic preferences over sets of goods. In Boutilier [2009], pp. 67–72. Cited on p. 16.

R.I. Brafman and C. Domshlak. Introducing variable importance tradeoffs into CP-nets. In A. Darwiche and N. Friedman, eds., UAI ’02, Proceedings of the 18th Conference in Uncertainty in Artificial Intelligence, University of Alberta, Edmonton, Alberta, Canada, August 1–4, 2002, pp. 69–76. Morgan Kaufmann, 2002. Cited on p. 16.

(5)

R.I. Brafman, C. Domshlak, and T. Kogan. Compact value-function representa-tions for qualitative preferences. In D.M. Chickering and J.Y. Halpern, eds., UAI ’04, Proceedings of the 20th Conference in Uncertainty in Artificial Intelligence,

July 7–11 2004, Banff, Canada, pp. 51–59. AUAI Press, 2004. Cited on p. 26. S. Brams and P. Fishburn. Voting procedures. In K. Arrow, A.K. Sen, and K. Suzumura, eds., Handbook of Social Choice and Welfare, Volume 1, no. 19 in Handbooks in Economics. North-Holland, 2002. Cited on p. 184.

S.J. Brams. Mathematics and Democracy: Designing Better Voting and Fair-Division Procedures. Princeton University Press, 2007. Cited on p. 182.

S.J. Brams and P.C. Fishburn. Approval Voting. Springer, second ed., 2007. Cited on p. 200.

S.J. Brams, D.M. Kilgour, and M.R. Sanver. A minimax procedure for negotiating multilateral treaties. In M. Wiberg, ed., Reasoned Choices: Essays in Honor of Academy Professor Hannu Nurmi, pp. 108–139. Finnish Political Science Association, Turku, Finland, 2004. Cited on pp. 181, 186, 187.

S.J. Brams, D.M. Kilgour, and M.R. Sanver. How to elect a representative committee using approval balloting. In Mathematics and Democracy, Studies in Choice and Welfare, pp. 83–95. Springer, 2006. Cited on pp. 181, 188.

S.J. Brams, D.M. Kilgour, and M.R. Sanver. A minimax procedure for electing committees. Public Choice, 132(3–4):401–420, 2007. Cited on pp. 181, 187, 190, 194.

M. Cadoli, F.M. Donini, P. Liberatore, and M. Schaerf. Comparing space efficiency of propositional knowledge representation formalisms. In Proceedings of the Fifth International Conference on Principles of Knowledge Representation and Reasoning (KR’96), Cambridge, Massachusetts, USA, November 5–8, 1996, pp. 364–373. Morgan Kaufmann, 1996. Cited on p. 66.

M. Cadoli, F.M. Donini, P. Liberatore, and M. Schaerf. The size of a revised knowledge base. Artifcial Intelligence, 115(1):25–64, 1999a. Cited on p. 66. M. Cadoli, L. Palopoli, and F. Scarcello. Propositional lower bounds: Algorithms

and complexity. Annals of Mathematics and Artificial Intelligence, 27(1–4): 129–148, 1999b. Cited on p. 66.

M. Cadoli, F.M. Donini, P. Liberatore, and M. Schaerf. Space efficiency of propo-sitional knowledge representation formalisms. Journal of Artificial Intelligence Research (JAIR), 13:1–31, 2000. Cited on pp. 62, 66.

M. Cadoli, F.M. Donini, P. Liberatore, and M. Schaerf. Preprocessing of intractable problems. Information and Computation, 176(2):89–120, 2002. Cited on p. 66.

(6)

E. Cantillon and M. Pesendorfer. Auctioning bus routes: The London experience. In Cramton et al. [2006], pp. 573–591. Cited on p. 3.

C. Caplice and Y. Sheffi. Combinatorial auctions for truckload transportation. In Cramton et al. [2006], pp. 539–571. Cited on p. 3.

C. Cayrol, M.-C. Lagasquie-Schiex, and T. Schiex. Nonmonotonic reasoning: From complexity to algorithms. Annals of Mathematics and Artificial Intelligence, 22 (3-4):207–236, 1998. Cited on p. 18.

A. Chagrov and M. Zakharyaschev. Modal Logic, vol. 35 of Oxford Logic Guides. Clarendon Press, 1997. Cited on p. 34.

J.R. Chamberlin and P.N. Courant. Representative deliberations and representa-tive decisions: Proportional representation and the Borda rule. The American Political Science Review, 77(3):718–733, 1983. Cited on p. 181.

Y. Chevaleyre, U. Endriss, and J. Lang. Expressive power of weighted propositional formulas for cardinal preference modelling. In Doherty, Mylopoulos, and Welty [2006], pp. 145–152. Cited on pp. 6, 12, 62, 67, 73, 155.

Y. Chevaleyre, U. Endriss, S. Estivie, and N. Maudet. Multiagent resource allocation in k-additive domains: Preference representation and complexity. Annals of Operations Research, 163(1):49–62, 2008a. Cited on pp. 33, 73, 105. Y. Chevaleyre, U. Endriss, J. Lang, and N. Maudet. Preference handling in combinatorial domains: From AI to social choice. AI Magazine, Special Issue on Preferences, 29(4):37–46, 2008b. Cited on p. 185.

J.M. Colomer and I. McLean. Electing popes: Approval balloting and qualified-majority rule. Journal of Interdisciplinary History, 29(1):1–22, 1998. Cited on p. 182.

Complexity Zoo. http://qwiki.stanford.edu/wiki/Complexity_Zoo, 2009. Cited on p. 97.

V. Conitzer and T. Sandholm. Computing Shapley values, manipulating value division schemes, and checking core membership in multi-issue domains. In McGuinness and Ferguson [2004], pp. 219–225. Cited on p. 68.

V. Conitzer, T.W. Sandholm, and P. Santi. Combinatorial auctions with k-wise dependent valuations. In M.M. Veloso and S. Kambhampati, eds., Proceeings of the 20th National Conference on Artificial Intelligence (AAAI-05), pp. 248–254. AAAI Press, 2005. Cited on pp. 33, 155.

(7)

S.A. Cook. The complexity of theorem-proving procedures. In Proceedings of the Third Annual ACM Symposium on Theory of Computing (STOC), pp. 151–158. ACM, 1971. Cited on p. 99.

S. Coste-Marquis, J. Lang, P. Liberatore, and P. Marquis. Expressive power and succinctness of propositional languages for preference representation. In Dubois, Welty, and Williams [2004], pp. 203–212. Cited on pp. 19, 20, 34, 62, 66. P. Cramton, Y. Shoham, and R. Steinberg, eds. Combinatorial Auctions. MIT

Press, 2006. Cited on pp. 101, 138, 207, 210, 215, 217, 219.

E. Dantsin, T. Eiter, G. Gottlob, and A. Voronkov. Complexity and expressive power of logic programming. ACM Computing Surveys, 33:374–425, 2001. Cited on p. 125.

A. Darwiche and P. Marquis. Compiling propositional weighted bases. Artificial Intelligence, 157:81–113, 2004. Cited on p. 66.

A. Darwiche and P. Marquis. A knowledge compilation map. Journal of Artificial Intelligence Research (JAIR), 17:229–264, 2002. Cited on p. 67.

A.P. Dempster. Upper and lower probabilities induced by a multivaluated mapping. Annals of Mathematical Statistics, 38(2):325–339, 1967. Cited on p. 49.

X. Deng and C.H. Papadimitriou. On the complexity of cooperative solution concepts. Mathematics of Operations Research, 19(2):257–266, 1994. Cited on p. 68.

P. Doherty, J. Mylopoulos, and C.A. Welty, eds. Proceedings, Tenth International Conference on Principles of Knowledge Representation and Reasoning, Lake District of the United Kingdom, June 2–5, 2006, 2006. AAAI Press. Cited on pp. 211, 220.

D. Dubois, C.A. Welty, and M.-A. Williams, eds. Principles of Knowledge Repre-sentation and Reasoning: Proceedings of the Ninth International Conference (KR-2004), Whistler, Canada, June 2–5, 2004, 2004. AAAI Press. Cited on pp. 211, 213.

P.E. Dunne, W. van der Hoek, S. Kraus, and M. Wooldridge. Cooperative Boolean games. In Padgham, Parkes, M¨uller, and Parsons [2008], pp. 1015–1022. Cited on p. 24.

F. Dupin de Saint-Cyr, J. Lang, and T. Schiex. Penalty logic and its link with Dempster-Shafer theory. In R. L´opez de M´antaras and D. Poole, eds., Proceedings of the 10th Conference on Uncertainty in Artificial Intelligence (UAI-1994), pp. 204–211. Morgan Kaufmann, 1994. Cited on p. 16.

(8)

E. Elkind, L.A. Goldberg, P.W. Goldberg, and M. Wooldridge. A tractable and expressive class of marginal contribution nets and its applications. Mathematical Logic Quarterly, 55(4):362–376, 2009. Cited on pp. 26, 68, 77, 93, 131.

U. Endriss. Vote manipulation in the presence of multiple sincere ballots. In Samet [2007], pp. 125–134. Cited on p. 201.

U. Endriss, M.S. Pini, F. Rossi, and K.B. Venable. Preference aggregation over restricted ballot languages: Sincerity and strategy-proofness. In Boutilier [2009], pp. 122–127. Cited on p. 201.

Federal Election Commission. Federal elections 2008: Election results for the U.S. President, the U.S. Senate and the U.S. House of Representatives. http:// www.fec.gov/pubrec/fe2008/federalelections2008.pdf, July 2009. Cited on p. 1.

P.C. Fishburn. Utility Theory for Decision Making. John Wiley & Sons, 1970. Cited on p. 26.

Y. Fujishima, K. Leyton-Brown, and Y. Shoham. Taming the computational complexity of combinatorial auctions: Optimal and approximate approaches. In T. Dean, ed., Proceedings of the 16th International Joint Conference on Artificial Intelligence (IJCAI 99), pp. 548–553. Morgan Kaufmann, 1999. Cited on pp. 101, 139, 147, 152, 158, 163.

M.R. Garey and D.S. Johnson. Computers and Intractability: A Guide to the Theory of NP-Completeness. W.H. Freeman and Co., 1979. Cited on pp. 104, 105, 107, 113, 119, 144.

A. Gibbard. Manipulation of voting schemes: A general result. Econometrica, 41 (4):587–601, 1973. Cited on p. 184.

R. Gonen and D. Lehmann. Linear Programming helps solving large multi-unit combinatorial auctions. In Electronic Market Design Workshop, The Proceedings of INFORMS 2001. Institute for Operations Research and the Management Sciences, 2001. Cited on p. 163.

R. Gonen and D.J. Lehmann. Optimal solutions for multi-unit combinatorial auc-tions: Branch and bound heuristics. In Proceedings of the 2nd ACM Conference on Electronic Commerce (EC-2000), pp. 13–20, 2000. Cited on p. 163.

C. Gonzales and P. Perny. GAI networks for utility elicitation. In Dubois et al. [2004], pp. 224–234. Cited on p. 26.

C. Gonzales, P. Perny, and S. Queiroz. Preference aggregation in combinatorial domains using GAI-nets. In D. Bouyssou, F. Roberts, and A. Tsouki`as, eds.,

(9)

Proceedings of the DIMACS-LAMSADE Workshop on Voting Theory And Preference Modelling, vol. 6 of Annales du LAMSADE, pp. 165–179, Paris, October 2006. Laboratoire d’Analyse et Mod´elisation de Syst`emes pour l’Aide `

a la D´ecision. Cited on pp. 25, 26.

M. Grabisch. k-order additive discrete fuzzy measures and their representation. Fuzzy Sets and Systems, 92(2):167–189, 1997. Cited on pp. 33, 36, 155.

R.L. Graham, D.E. Knuth, and O. Patashnik. Concrete Mathematics: A Foun-dation for Computer Science. Addison-Wesley, second ed., 1994. Cited on p. 191.

R. Greenlaw, H.J. Hoover, and W.L. Ruzzo. A compendium of problems complete for P. Technical report, University of Alberta, Computer Science Department,

1992. URL http://citeseer.ist.psu.edu/greenlaw91compendium.html.

Cited on p. 125.

G. H¨agele and F. Pukelsheim. The electoral systems of Nicholas of Cusa in the Catholic Concordance and beyond. In G. Christianson, T.M. Izbicki, and C.M. Bellitto, eds., The Church, the Councils, & Reform: The Legacy of the Fifteenth Century, pp. 229–249. The Catholic University of America Press, 2008. Cited on p. 182.

P.E. Hart, N.J. Nilsson, and B. Raphael. A formal basis for the heuristic deter-mination of minimum cost paths. IEEE Transactions of Systems Science and Cybernetics, 4(2):100–107, 1968. Cited on p. 154.

C. Haub. How many people have ever lived on earth? Population Today, 30(8): 3–4, November/December 2002. Cited on p. 191.

S. van Hoesel and R. M¨uller. Optimization in electronic markets: examples in combinatorial auctions. Netnomics, 3(1):23–33, 2001. Cited on p. 119.

R.C. Holte. Combinatorial auctions, knapsack problems, and hill-climbing search. In E. Stroulia and S. Matwin, eds., Advances in Artificial Intelligence, 14th Biennial Conference of the Canadian Society for Computational Studies of Intelligence, AI 2001, Ottawa, Canada, June 7–9, 2001, Proceedings, vol. 2056 of Lecture Notes in Computer Science, pp. 57–66. Springer, 2001. Cited on p. 163.

H.H. Hoos and C. Boutilier. Solving combinatorial auctions using stochastic local search. In Proceedings of the Seventeenth National Conference on Artificial Intelligence and Twelfth Conference on on Innovative Applications of Artificial Intelligence (AAAI/IAAI 2000), pp. 22–29. AAAI Press, 2000. Cited on pp. 27, 144, 147, 149, 195.

(10)

S. Ieong and Y. Shoham. Marginal contribution nets: A compact representation scheme for coalitional games. In J. Riedl, M.J. Kearns, and M.K. Reiter, eds., Proceedings, 6th ACM Conference on Electronic Commerce (EC-2005), pp. 193–202. ACM Press, 2005. Cited on pp. 26, 35, 67, 68, 77, 131.

ILOG, 2009. ILOG CPLEX. http://www.ilog.com/products/cplex/, 2009. Cited on p. 147.

B. Jaumard and B. Simeone. On the complexity of the maximum satisfiability problem for Horn formulas. Information Processing Letters, 26(1):1–4, 1987. Cited on p. 106.

R.M. Karp. Reducibility among combinatorial problems. In R.E. Miller and J.W. Thatcher, eds., Complexity of Computer Computations. Plenum Press, 1972. Cited on p. 119.

R. Kastner, C. Hsieh, M. Potkonjak, and M. Sarrafzadeh. On the sensitivity of incremental algorithms for combinatorial auctions. In Proceedings of the Fourth IEEE International Workshop on Advanced Issues of E-Commerce and Web-Based Information Systems (WECWIS), pp. 81–88. MIT Press, 2002. Cited on p. 163.

R. Kaye. Minesweeper is NP-complete. Mathematical Intelligencer, 22(2):9–15, 2000. Cited on p. 107.

P. La Mura and Y. Shoham. Expected utility networks. In K.B. Laskey and H. Prade, eds., UAI ’99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30–August 1, 1999, pp. 366– 373. Morgan Kaufmann, 1999. Cited on p. 26.

C. Lafage and J. Lang. Logical representation of preferences for group decision making. In A.G. Cohn, F. Giunchiglia, and B. Selman, eds., Proceedings of the 7th International Conference on Principles of Knowledge Representation and Reasoning (KR-2000), pp. 457–468. Morgan Kaufmann, 2000. Cited on pp. 12, 14, 18, 22, 200.

J. Lang. Logical preference representation and combinatorial vote. Annals of Mathematics and Artificial Intelligence, 42(1–3):37–71, 2004. Cited on pp. 12, 21, 22, 102, 116, 181.

J. Lang and L. Xia. Sequential composition of voting rules in multi-issue domains. Mathematical Social Sciences, 57(3):304–324, 2009. Cited on pp. 15, 185. T. Lee. Kolmogorov Complexity and Formula Size Lower Bounds. PhD thesis,

Institute for Logic, Language and Computation, University of Amsterdam, 2006. ILLC Publication DS-2006-01. Cited on p. 76.

(11)

B. Lehmann, D. Lehmann, and N. Nisan. Combinatorial auctions with decreasing marginal utilities. Games and Economic Behavior, 55:270–296, 2006a. Cited on pp. 32, 35.

D. Lehmann, R. M¨uller, and T. Sandholm. The winner determination problem. In Cramton et al. [2006], pp. 288–317. Cited on pp. 117, 138.

K. Leyton-Brown and Y. Shoham. A test suite for combinatorial auctions. In Cramton et al. [2006], pp. 451–478. Cited on p. 163.

K. Leyton-Brown, M. Pearson, and Y. Shoham. Towards a universal test suite for combinatorial auction algorithms. In Proceedings of the 2nd ACM Conference on Electronic Commerce (EC-2000), pp. 66–76, 2000. Cited on p. 163.

P. Liberatore. Monotonic reductions, representative equivalence, and compilation of intractable problems. Journal of the ACM, 48(6):1091–1125, 2001. Cited on p. 65.

M. Lines. Approval voting and strategy analysis: A Venetian example. Theory and Decision, 20(2):155–172, 1986. Cited on p. 182.

R.J. Lipton, E. Markakis, E. Mossel, and A. Saberi. On approximately fair allocations of indivisible goods. In J.S. Breese, J. Feigenbaum, and M.I. Seltzer, eds., Proceedings 5th ACM Conference on Electronic Commerce (EC-2004), pp. 125–131. ACM, 2004. Cited on p. 131.

R. Llull. Blanquerna: a thirteenth century romance. Jarrolds, London, 1926. Translated by E.A. Peers. Cited on p. 182.

Y. Mansour. Learning Boolean functions via the Fourier transform. In V. Roy-chowdhury, K.-Y. Siu, and A. Orlitsky, eds., Theoretical Advances in Neural Computation and Learning. Kluwer, 1994. Cited on p. 74.

M. Mavronicolas, B. Monien, and K.W. Wagner. Weighted Boolean formula games. In X. Deng and F.C. Graham, eds., Internet and Network Economics, Third International Workshop, WINE 2007, San Diego, CA, USA, December 12–14, 2007, Proceedings, vol. 4858 of Lecture Notes in Computer Science, pp. 469–481. Springer, 2007. Cited on p. 24.

R.P. McAfee and J. McMillan. Auctions and bidding. Journal of Economic Literature, 25(2):699–738, 1987. Cited on p. 136.

D.L. McGuinness and G. Ferguson, eds. Proceedings of the Nineteenth National Conference on Artificial Intelligence, Sixteenth Conference on Innovative Appli-cations of Artificial Intelligence, July 25–29, 2004, San Jose, California, USA, 2004. AAAI Press / The MIT Press. Cited on pp. 211, 218.

(12)

N. Megiddo and C.H. Papadimitriou. On total functions, existence theorems, and computational complexity. Theoretical Computer Science, 81(2):317–324, 1991. Cited on p. 122.

R. Meir, A.D. Procaccia, J.S. Rosenschein, and A. Zohar. Complexity of strategic behavior in multi-winner elections. Journal of Artificial Intelligence Research (JAIR), 33:149–178, 2008. Cited on p. 201.

P. Milgrom. Putting Auction Theory to Work. Churchill Lectures in Economics. Cambridge University Press, 2004. Cited on p. 136.

B.L. Monroe. Fully proportional representation. The American Political Science Review, 89(4):925–940, 1995. Cited on p. 181.

B.F. Moore. The History of Cumulative Voting and Minority Representation in Illinois, 1870–1908, vol. III.3 of The University Studies. University Press, Urbana-Champaign, Illinois, 1909. Cited on p. 199.

H. Moulin. Axioms of Cooperative Decision Making, vol. 15 of Econometric Society Monographs. Cambridge University Press, 1988. Cited on pp. 33, 116.

R. M¨uller. Tractable cases of the winner determination problem. In Cramton et al. [2006], pp. 319–336. Cited on pp. 101, 138.

National Odd Shoe Exchange. The history of the National Odd Shoe Exchange. http://www.oddshoe.org/history.php, 2009. Cited on p. 137.

B. Nebel, ed. Proceedings of the Seventeenth International Joint Conference on Artificial Intelligence, IJCAI 2001, Seattle, Washington, USA, August 4–10, 2001, 2001. Morgan Kaufmann. Cited on pp. 208, 219.

N. Nisan. Bidding languages for combinatorial auctions. In Cramton et al. [2006], pp. 215–232. Cited on pp. 27, 32, 35, 51, 68, 138, 139, 141.

N. Nisan. Bidding and allocation in combinatorial auctions. In Proceedings of the 2nd ACM Conference on Electronic Commerce, pp. 1–12, 2000. Cited on pp. 68, 101.

L. Padgham, D.C. Parkes, J. M¨uller, and S. Parsons, eds. 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), Estoril, Portugal, May 12–16, 2008, 2008. IFAAMAS. Cited on pp. 212, 219. C.H. Papadimitriou. Computational Complexity. Addison-Wesley, 1994a. Cited

on pp. 95, 106, 113, 122.

C.H. Papadimitriou. On the complexity of the parity argument and other inefficient proofs of existence. Journal of Computer and System Sciences, 48(3):498–532, 1994b. Cited on p. 111.

(13)

D.C. Parkes. i Bundle: An efficient ascending price bundle auction. In Proceedings of the First ACM Conference on Electronic Commerce (EC-99), pp. 148–157. ACM, 1999. Cited on p. 163.

E. Pilotto, F. Rossi, K.B. Venable, and T. Walsh. Compact preference representa-tion in stable marriage problems. In F. Rossi and A. Tsoukias, eds., Algorithmic Decision Theory: First International Conference, ADT 2009. Venice, Italy, October 2009. Proceedings, vol. 5783 of Lecture Notes in Artificial Intelligence. Springer, 2009. Cited on p. 15.

G. Pinkas. Propositional nonmonotonic reasoning and inconsistency in symmetric neural networks. In J. Mylopoulos and R. Reiter, eds., Proceedings of the 12th International Joint Conference on Artificial Intelligence (IJCAI-1991), pp. 525–531. Morgan Kaufmann, 1991. Cited on p. 16.

A. Ragone, T.D. Noia, F.M. Donini, E.D. Sciascio, and M.P. Wellman. Computing utility from weighted description logic preference formulas. In Declarative Agent Languages and Technologies VII (DALT-2009), Lecture Notes in Computer Science. Springer, 2009a. To appear. Cited on p. 23.

A. Ragone, T.D. Noia, F.M. Donini, E.D. Sciascio, and M.P. Wellman. Weighted description logics preference formulas for multiattribute negotiation. In Scalable Uncertainty Management. Third International Conference, SUM 2009, Wash-ington, DC, USA, September 28–30, 2009. Proceedings, vol. 5785 of Lecture Notes in Computer Science, pp. 193–205. Springer, 2009b. Cited on p. 23. S. Ramezani. Nash Social Welfare in Multiagent Resource Allocation. Master’s

thesis, Institute for Logic, Language and Computation, University of Amsterdam, 2008. ILLC Publication MoL-2008-09. Cited on p. 147.

J. Rawls. A Theory of Justice. Harvard University Press, 1971. Cited on p. 117. D. Roh´aˇc. The unanimity rule and religious fractionalisation in the Polish-Lithuanian Republic. Constitutional Political Economy, 19(2), 2008. Cited on p. 183.

J.S. Rosenschein and G. Zlotkin. Rules of Encounter. MIT Press, 1994. Cited on p. 33.

F. Rossi, K.B. Venable, and T. Walsh. mCP Nets: Representing and reasoning with preferences of multiple agents. In McGuinness and Ferguson [2004], pp. 729–734. Cited on p. 15.

G.-C. Rota. On the foundations of combinatorial theory I: Theory of M¨obius functions. Zeitschrift f¨ur Wahrscheinlichkeitstheorie und Verwandte Gebiete, 2 (4):340–368, 1964. Cited on pp. 36, 143.

(14)

M.H. Rothkopf, A. Pekeˇc, and R.M. Harstad. Computationally manageable combinational auctions. Management Science, 44(8):1131–1147, 1998. Cited on p. 101.

D. Samet, ed. Proceedings of the 11th Conference on Theoretical Aspects of Rationality and Knowledge (TARK-2007), Brussels, Belgium, June 25–27, 2007, 2007. Presses Universitaires de Louvain. Cited on pp. 212, 220.

T. Sandholm. Expressive commerce and its application to sourcing: How we conducted $35 billion of generalized combinatorial auctions. AI Magazine, 28 (3):45–58, 2007. Cited on p. 3.

T. Sandholm, S. Suri, A. Gilpin, and D. Levine. CABOB: A fast optimal algorithm for winner determination in combinatorial auctions. Management Science, 51 (3):374–390, 2005. Cited on p. 163.

T.W. Sandholm. Algorithm for optimal winner determination in combinatorial auctions. Artificial Intelligence, 135(1–2):1–54, 2002. Cited on pp. 139, 147, 158, 163.

T.W. Sandholm. Optimal winner determination algorithms. In Cramton et al. [2006], pp. 337–368. Cited on pp. 138, 152, 177.

T.W. Sandholm and S. Suri. BOB: Improved winner determination in combinato-rial auctions and generalizations. Artificial Intelligence, 145(1–2):33–58, 2003. Cited on p. 152.

M.A. Satterthwaite. Strategy-proofness and Arrow’s conditions: Existence and correspondence theorems for voting procedures and social welfare functions. Journal of Economic Theory, 10(2):187–217, 1975. Cited on p. 184.

A. Schrijver. Theory of Linear and Integer Programming. John Wiley & Sons, 1986. Cited on p. 147.

D. Schuurmans, F. Southey, and R.C. Holte. The exponentiated subgradient algorithm for heuristic Boolean programming. In Nebel [2001], pp. 334–341. Cited on p. 163.

G. Shafer. A Mathematical Theory of Evidence. Princeton University Press, Princeton, NJ, 1976. Cited on p. 49.

M. Sipser. Introduction to the Theory of Computation. PWS Publishing Company, 1997. Cited on p. 95.

A.D. Taylor. Social Choice and the Mathematics of Manipulation. Cambridge University Press, 2005. Cited on pp. 182, 184, 192.

(15)

L. Trevisan. Lecture notes 25, CS278: Computational complexity, UC-Berkeley, 1 December 2004. http://www.cs.berkeley.edu/~luca/cs278/ notes/lecture25.pdf. Cited on p. 75.

J. Uckelman and U. Endriss. Winner determination in combinatorial auctions with logic-based bidding languages. In Padgham et al. [2008], pp. 1617–1620. Short Paper. Cited on pp. 7, 12, 162.

J. Uckelman and U. Endriss. Preference representation with weighted goals: Expressivity, succinctness, complexity. In J. Doyle, J. Goldsmith, U. Junker, and J. Lang, eds., Proceedings of the AAAI Workshop on Preference Handling for Artificial Intelligence (AiPref-2007), pp. 85–92, Vancouver, British Columbia, July 2007. AAAI Press. Technical Report WS-07-10. Cited on pp. 6, 12, 62. J. Uckelman and U. Endriss. Preference modeling by weighted goals with max

aggregation. In G. Brewka and J. Lang, eds., Proceedings of the 11th Interna-tional Conference on Principles of Knowledge Representation and Reasoning (KR-2008), pp. 579–587, September 2008b. Cited on pp. 6, 12.

J. Uckelman and A. Witzel. Logic-based preference languages with intermediate complexity. In J. Chomicki, V. Conitzer, U. Junker, and P. Perny, eds., Proceed-ings of the 4th Multidisciplinary Workshop on Advances in Preference Handling (MPREF-2008), pp. 123–127, Chicago, 2008. AAAI Press. Cited on pp. 6, 12. J. Uckelman, Y. Chevaleyre, U. Endriss, and J. Lang. Representing utility functions via weighted goals. Mathematical Logic Quarterly, 55(4):341–361, 2009. Cited on pp. 6, 12.

W. Vickrey. Counterspeculation, auctions, and competitive sealed tenders. Journal of Finance, 16(1):8–37, 1961. Cited on p. 136.

S. de Vries and R.V. Vohra. Combinatorial auctions: A survey. INFORMS Journal on Computing, 15(3):284–309, 2003. Cited on p. 163.

M. Wachter and R. Haenni. Propositional DAGs: A new graph-based language for representing Boolean functions. In Doherty et al. [2006], pp. 277–285. Cited on pp. 66, 67.

I. Wegener. The Complexity of Boolean Functions. John Wiley & Sons, 1987. Cited on p. 65.

L.A. Wolsey. Integer Programming. Wiley-Interscience, 1998. Cited on pp. 147, 148.

L. Xia and J. Lang. A dichotomy theorem on the existence of efficient or neutral sequential voting correspondences. In Boutilier [2009], pp. 342–347. Cited on p. 15.

(16)

L. Xia, J. Lang, and M. Ying. Strongly decomposable voting rules on multiattribute domains. In Proceedings of the Twenty-Second AAAI Conference on Artificial Intelligence, July 22–26, 2007, Vancouver, British Columbia, Canada, pp. 776– 781. AAAI Press, 2007a. Cited on p. 15.

L. Xia, J. Lang, and M. Ying. Sequential voting rules and multiple elections paradoxes. In Samet [2007], pp. 279–288. Cited on p. 15.

L. Xia, V. Conitzer, and J. Lang. Voting on multiattribute domains with cyclic preferential dependencies. In D. Fox and C.P. Gomes, eds., Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, AAAI 2008, Chicago, Illinois, USA, July 13–17, 2008, pp. 202–207. AAAI Press, 2008. Cited on p. 15. Yale Law Journal, 1982. Alternative voting systems as remedies for unlawful

at-large systems. The Yale Law Journal, 92(1):144–160, 1982. Cited on p. 199. H.P. Young. Social choice scoring functions. SIAM Journal on Applied

Mathemat-ics, 28(4):824–838, 1975. Cited on pp. 184, 194.

H. Zhang and M.E. Stickel. An efficient algorithm for unit propagation. In Proceedings of the Fourth International Symposium on Artificial Intelligence and Mathematics (AI-MATH ’96), Fort Lauderdale, Florida, USA, pp. 166–169, 1996. Cited on p. 128.

E. Zurel and N. Nisan. An efficient approximate allocation algorithm for combina-torial auctions. In Proceedings, 3rd ACM Conference on Electronic Commerce (EC-2001), pp. 125–136, 2001. Cited on p. 163.

Referenties

GERELATEERDE DOCUMENTEN

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

It is not permitted to download or to forward/distribute the text or part of it without the consent of the author(s) and/or copyright holder(s), other than for strictly

Raised IL-8 levels were also reported in the serum of patients with eye diseases which are related to a systemic disease includ- ing proliferative diabetic retinopathy and

Te lang is de illusie gekoesterd dat het Nederlandse pensioenstelsel, waarin de werknemer zelf spaart voor zijn pensioen, meer zekerheid biedt dan de pensioenstelsels in landen waar