Social software for coalition formation
2006 (English)In: Theory and Applications of Relational Structures as Knowledge Instruments II: International Workshops of COST Action 274, TARSKI, 2002-2005, Selected Revised Papers / [ed] Harrie de Swart, Ewa Orłowska, Gunther Schmidt and Marc Roubens, Springer Berlin/Heidelberg, 2006, Vol. 4342, 1-30 p.Chapter in book (Refereed)
This paper concerns an interdisciplinary approach to coalition formation. We apply the MacBeth software, relational algebra, the RelView tool, graph theory, bargaining theory, social choice theory, and consensus reaching to a model of coalition formation. A feasible government is a pair consisting of a coalition of parties and a policy supported by this coalition. A feasible government is stable if it is not dominated by any other feasible government. Each party evaluates each government with respect to certain criteria. MacBeth helps to quantify the importance of the criteria and the attractiveness and repulsiveness of governments to parties with respect to the given criteria. Feasibility, dominance, and stability are formulated in relation-algebraic terms. The RelView tool is used to compute the dominance relation and the set of all stable governments. In case there is no stable government, i.e., in case the dominance relation is cyclic, we apply graph-theoretical techniques for breaking the cycles. If the solution is not unique, we select the final government by applying bargaining or appropriate social choice rules. We describe how a coalition may form a government by reaching consensus about a policy.
Place, publisher, year, edition, pages
Springer Berlin/Heidelberg, 2006. Vol. 4342, 1-30 p.
, Lecture Notes in Computer Science, ISSN 0302-9743 ; 4342
stable government, MacBeth, relational algebra, RelView, graph theory, bargaining, social choice rule, consensus
IdentifiersURN: urn:nbn:se:umu:diva-80618DOI: 10.1007/11964810_1ISBN: 978-3-540-69223-2ISBN: 978-3-540-69224-9OAI: oai:DiVA.org:umu-80618DiVA: diva2:650518
Theoryand Applications of Relational Structures as Knowledge Instruments II
Series: Lecture Notes in Artificial Intelligence (subseries of: Lecture Notes in Computer Science)2013-09-222013-09-222014-01-30Bibliographically approved