Workshop on social choice and artificial intelligence, Barcelona, Spain
16 July 2011 - 16 July 2011
Spain
A workshop on social choice and artificial intelligence will take place on 16 July 2011 in Barcelona, Spain.
Computational social choice (CSI) is an interdisciplinary field of study which combines computer science, artificial intelligence, logic, political science and economic theory, among others. The field is concerned with the application of techniques developed in computer science, such as complexity analysis or algorithm design, to the study of social choice mechanisms, such as voting procedures or fair division algorithms. CSI also deals with importing concepts from social choice theory into computing.
For instance, classical results in voting theory show that, under some conditions, it is impossible to design a voting protocol that voters cannot manipulate by reporting insincere preferences when casting their ballots. A voting system that induces such insincere voting behaviour cannot be expected to reliably return the socially most preferable candidate as a winner. In recent years, computer scientists have started to analyse this kind of problem from a computational point of view. The basic idea is that, should it be the case that manipulating successfully is a computationally intractable problem, manipulability may be less of a worry.
The workshop will focus on social choice and artificial intelligence, looking at research on new challenges and research directions for the field.For further information, please visit: http://www.illc.uva.nl/COMSOC/IJCAI-2011/(opens in new window)
Computational social choice (CSI) is an interdisciplinary field of study which combines computer science, artificial intelligence, logic, political science and economic theory, among others. The field is concerned with the application of techniques developed in computer science, such as complexity analysis or algorithm design, to the study of social choice mechanisms, such as voting procedures or fair division algorithms. CSI also deals with importing concepts from social choice theory into computing.
For instance, classical results in voting theory show that, under some conditions, it is impossible to design a voting protocol that voters cannot manipulate by reporting insincere preferences when casting their ballots. A voting system that induces such insincere voting behaviour cannot be expected to reliably return the socially most preferable candidate as a winner. In recent years, computer scientists have started to analyse this kind of problem from a computational point of view. The basic idea is that, should it be the case that manipulating successfully is a computationally intractable problem, manipulability may be less of a worry.
The workshop will focus on social choice and artificial intelligence, looking at research on new challenges and research directions for the field.For further information, please visit: http://www.illc.uva.nl/COMSOC/IJCAI-2011/(opens in new window)