Manipulative Voting Dynamics now available from Cambridge Scholars Publishing
Cambridge Scholars Publishing is pleased to announce the publication of Manipulative Voting Dynamics by Neelam Gohar.
One of the most actively growing subareas in multi-agent systems is computational social choice theory, which provides a theoretical foundation for preference aggregation and collective decision-making in multi-agent domains. It is concerned with the application of techniques developed in computer science, including complexity analysis and algorithm design, in the study of social choice mechanisms, such as voting. It seeks to import concepts from social choice theory into Artificial Intelligence and computing.
This book focuses on convergence to pure strategy Nash equilibria in plurality voting games and a number of other positional and non-positional scoring rules. In such games, the voters strategically choose a candidate to vote for, and the winner is determined by the plurality (or other) voting rules. Voters take turns modifying their votes; these manipulations are classified according to the way in which they affect the outcome of the election. The focus is on achieving a stable outcome, taking strategic behaviour into account. A voting profile is in equilibrium, when no voter can change his vote so that his more preferable candidate gets elected. The book investigates restrictions on the number of iterations that can be made for different voting rules, considering both weighted and equi-weighted voting settings.
To read a full summary of the book and to read a 30-page sample extract, which includes the table of contents, please visit the following link:
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About the Author
Dr Neelam Gohar is an Assistant Professor in Computer Science at Shaheed Benazir Bhutto Women University Peshawar Pakistan, having received her PhD in Computer Sciences from the University of Liverpool, UK, in 2012. Her areas of interest are multi-agent systems, computational social choice theory, preference aggregation, and algorithmic game theory.