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- W36501866 abstract "David A. MeyerProject in Geometry and Physics, Department of MathematicsUniversity of California/San Diego, La Jolla, CA 92093-0112;Institute for Physical Sciences, Los Alamos, NM 87544;and New England Complex Systems Institute, Cambridge, MA 02138dmeyer@chonji.ucsd.eduABSTRACTVoting, or more generally, aggregating preferences, makes systems complex. Consequently,their dynamics can be chaotic and hence difficult to predict or control. These statementsare equally true for artificial multi-agent systems as for real political systems, counterindi-cating unreflexive use of such tools by policy makers. Similar analysis applies to systemswith a continuum of alternatives, like election campaigns, and explains the ambiguity ofcandidates’ platforms.Key Words: decision theory, chaos, Arrow’s theorem, multi-agentsimulations,agent-basedmodelling, political campaigns, platform ambiguity.Based on a talk presented at the RAND Workshop on Complexity and Public Policy,ComplexSystems andPolicyAnalysis: New Tools for aNew Millennium,heldinArlington,VA, 27–28 September 2000.1" @default.
- W36501866 created "2016-06-24" @default.
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- W36501866 date "2000-01-01" @default.
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- W36501866 title "THE COMPLEXITY OF VOTING" @default.
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