## Algorithmic Decision Theory: First International Conference, ADT 2009, Venice, Italy, October 2009, ProceedingsFrancesca Rossi, Alexis Tsoukias Algorithmic decision theory is a new interdisciplinary research area that aims to bring together researchers from di?erent ?elds such as decision theory, d- crete mathematics, theoretical computer science and arti?cial intelligence, in order to improve decision support in the presence of massive databases, com- natorial structures, partial and/or uncertain information and distributed, p- sibly interoperating, decision makers. Such problems arise in several real-world decision-making scenarios such as humanitarian logistics, epidemiology, risk assessment and management, e-government, electronic commerce, and rec- mender systems. In 2007, the EU-funded COST Action IC0602 on Algorithmic Decision T- ory was started, networking a number of researchers and research laboratories around Europe (and beyond). The COST Action IC0602 now gathers over 100 participants from more than 30 countries (including non-COST countries such as Australia, South Africa and the USA). For more details see www.algodec.org. Within the Action, and in cooperation with the EURO Working Group on Pr- erences, itwasdecidedtostartanewseriesofconferencesonalgorithmicdecision theory, the goal being to provide a forum for researchers interested in this area. This volume contains the papers presented at ADT 2009, the ?rst Inter- tional Conference on Algorithmic Decision Theory. The conference was held in SanServolo, a smallislandintheVenetianLagoon, onOctober20-23,2009.The programoftheconferenceincludedoralpresentations, posters, invitedtalks, and tutorials (for more information see www.adt2009.org). |

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actions agents aggregation algorithm allocation alternatives applied approach Artiﬁcial assignment Berlin Heidelberg 2009 binary binary relation Choquet integral classiﬁcation collaborative filtering computed consider constraints convergence corresponding CP-net criterion decision problem decision theory decision tree deﬁned Deﬁnition denote diﬀerent dominance eﬃcient elicitation envy-free evaluation example expected utility FBD FBD ﬁnd ﬁnding ﬁnite ﬁrst ﬁxed fuzzy given imprecise instance interval orders iteration linear logic lottery manipulation matrix method minimal multicriteria multisets Nash equilibrium node Operational Research optimal ordinal regression outcome outranking paraconsistent logic parameters player polynomial preference relation premise probability procedure proﬁle proposed Proposition ranking representation represents resp rules satisﬁes signiﬁcance solution speciﬁc stable extension stochastic stochastic dominance strategy subset Theorem theory tournament transitive reduction Tsoukis Eds utility function valuation value function variables vector viewpoint voters voting weights