Now showing items 1-6 of 6
Game-Theoretic Analysis of Strategic Behaviour in Networks, Crowds and Classrooms
Over the past decade, the explosive growth of the Internet has led to a surge of interest to understand and predict aggregate behavior of large number of people or agents, particularly when they are connected through an ...
Incentive Design for Crowdfunding and Crowdsourcing Markets
With the ever-increasing trend in the number of social interactions getting intermediated by technology (the world wide web) as the backdrop, this thesis focuses on the design of mechanisms for online communities (crowds) ...
New Methods for Learning from Heterogeneous and Strategic Agents
1 Introduction In this doctoral thesis, we address several representative problems that arise in the context of learning from multiple heterogeneous agents. These problems are relevant to many modern applications such as ...
Mechanism Design For Strategic Crowdsourcing
(Indian Institute of Science, 2013-12-17)
This thesis looks into the economics of crowdsourcing using game theoretic modeling. The art of aggregating information and expertise from a diverse population has been in practice since a long time. The Internet and the ...
Incentive Strategies and Algorithms for Networks, Crowds and Markets
This work is motivated by several modern applications involving social networks, crowds, and markets. Our work focuses on the theme of designing effective incentive strategies for these applications. Viral marketing is ...
Approximate Dynamic Programming and Reinforcement Learning - Algorithms, Analysis and an Application
Problems involving optimal sequential making in uncertain dynamic systems arise in domains such as engineering, science and economics. Such problems can often be cast in the framework of Markov Decision Process (MDP). ...