Decision Theory and Multi-Agent Planning by Leila Amgoud, Henri Prade (auth.), Giacomo Della Riccia,

By Leila Amgoud, Henri Prade (auth.), Giacomo Della Riccia, Didier Dubois, Rudolf Kruse, Hanz-Joachim Lenz (eds.)

The paintings provides a contemporary, unified view on choice help and making plans via contemplating its fundamentals like personal tastes, trust, threat and likelihood in addition to utilities. those good points jointly are immanent for software program brokers to think the consumer that the brokers are "intelligent".

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Bob}, {out, winebar. Ann}, {out, discobar, Ann}, {out, winebar, Bob}, {out, discobar, Bob}}. T h e various preference statements induce t h e following binary relations on the set of outcomes O. Rai = {({i^, scifi}, {in, action}), {{in, scifi}, {in, comedy}), {{in, novel}, {in, action}), {{in,novel}, {in, comedy})}. Ra2 = { {{out, italian, Bob}, {out, winebar. Bob}), {{out, indian. Bob}, {out, winebar. Bob}), {{out, italian. Bob}, {out, discobar. Bob}), {{out, indian. Bob}, {out, discobar. Bob}), {{out, italian, Ann}, {out, winebar, Ann}), {{out, indian, Ann}, {out, winebar, Ann}), {{out, italian, Ann}, {out, discobar, Ann}), {{out, indian, Ann}, {out, discobar, Ann})} Qualitative Preference Modelling in Constraint Satisfaction 27 Rsi = { {{out, Indian^ Ann}^ {out,italian,Bob})} Rs2 = {{{out, discobar, Bob}, {out, winebar, Ann})} ^Pi = {{{0Ut,Ui,U2},{in,Us},)\ui e DRestaurant ^ DBar, Uo G Dcorapany•> U^, G Dsook U DTV} Rp^ = {{{out,discobar,Ann}, {out,discobar,Bob}) {{out, winebar, Ann}, {out, winebar.

Moreover, such problems appear in many application domains such as configuration, compositional modelling, planning etc. In this section we extend CP-networks from classical to dynamic constraint satisfaction problems. Dynamic Constraint Satisfaction [19] is an extension of classical constraint satisfaction with activity constraints that select the variables that participate in a solution. In the following we slightly change the notation and use the original definition of the problem as it presented in [19].

A'/, D . C ^ , C ^ , A,S,F > be a dynamic constraint satisfaction problem with A — {ai, a2- • • •, o^fc}? S = {si, S2, - • - Sn} and F = {pi,p2'... Pra}. b are two outcomes ofV = < X,Xi,D, C^, C^ > , it holds that a >-T> b iff'{a. b) G tr{Ra,URa^ U .. , U .. URsJ. T h e next example illustrates the new semantics. Example 5. Consider the dynamic constraint satisfaction problem P on the variables: Where = {in, out} Book = {scift. novel} TV = {action, comedy} Restaurant = {italian, indian} Bar = {winebar, discobar} Company = {Ann.

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