Collective Decision Making in Combinatorial Domains This is a preliminary website for the NWO Vidi project "Collective Decision Making in Combinatorial Domains", which is led by Ulle Endriss and will run from January 2008 until December 2012 at the Institute for Logic, Language and Computation (ILLC) at the University of Amsterdam. The project will bring together ideas from computer science, artificial intelligence, multiagent systems, computational logic, and social choice theory to develop and analyse mechanisms for collective decision making when the set of possible agreements has a combinatorial structure. Exemplary applications include resource allocation problems with indivisible goods and the study of voting rules for committee elections. Keywords: computational social choice, multiagent resource allocation, preference modelling, social software Open Positions We currently have two vacancies in this project: * PhD Student (4 year position -- deadline 1 June 2008) * Postdoctoral Research Fellow (3 year position -- filled) The latest planning foresees that the postdoc will be working on issues in multiagent resource allocation, while the PhD student will be concentrating on logic-based approaches to modelling collective decision making mechanisms. However, there is some flexibility in this and the exact programme of work will be determined together with the successful candidates. Everyone with a serious research interest in computational social choice is encouraged to apply to either position. The successful candidates will be regular employees at the University of Amsterdam. Salary and employment conditions will be in line with the usual regulations for academic staff at Dutch universities. Please follow the links above for further details on the open positions and the application procedure. Project Summary Collective decision making is the process of mapping the individual preference profiles of independent agents into a joint decision. The need for collective decision making mechanisms is abundant, not just in human society, but also in a number of scientific and technological application areas. These range from logistics, over grid computing, to e-democracy. The alternatives to be decided upon often have a combinatorial structure: an alternative is characterised by a tuple of variables, each ranging over a finite domain. For instance, if the objective is to divide a number of indivisible goods amongst several agents, then each agent must be able to reason about his or her preferences over sets of goods, of which there are exponentially many. Classical approaches to collective decision making, developed in social choice theory, do not take the computational limitations induced by the combinatorial nature of the problem into account. The overall aim of this project is to develop a comprehensive theory of how agreements between independent decision makers are formed when the domain of possible outcomes has a combinatorial structure. Specific topics to be addressed include the compact representation of preferences in combinatorial domains; the development of distributed approaches to computing fair and economically efficient allocations of resources for varying interpretations of the terms fairness and efficiency; and the logic-based modelling and complexity-theoreti c analysis of collective decision making mechanisms. The project will employ the tools and techniques of computer science in a broad sense, including computational logic, artificial intelligence and multiagent systems, whilst also drawing heavily upon ideas from mathematical economics, in particular social choice theory. Related Links More information on this research area and on related events and activities is available here: * What is Computational Social Choice? * Survey Article on Computational Social Choice * Survey Article on Multiagent Resource Allocation * Logic and Computation Research Programme at the ILLC * Computational Social Choice Seminar at the ILLC Contact For further information on the project or the open positions, please feel free to contact Ulle Endriss.
________________________________ Be a better friend, newshound, and know-it-all with Yahoo! Mobile. Try it now. ____________________________________________________________________________________ Be a better friend, newshound, and know-it-all with Yahoo! Mobile. Try it now. http://mobile.yahoo.com/;_ylt=Ahu06i62sR8HDtDypao8Wcj9tAcJ