Browsing Division of Electrical, Electronics, and Computer Science (EECS) by Advisor "Narahari, Y"
Now showing items 21-34 of 34
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Learning Dynamic Prices In Electronic Markets
(2011-04-19) -
A Mechanism Design Approach To Resource Procurement In Computational Grids With Rational Resource Providers
(2009-07-08)A computational grid is a hardware and software infrastructure that provides dependable, consistent, pervasive, and inexpensive access to high-end computational capabilities. In the presence of grid users who are autonomous, ... -
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 ... -
A Nash Bargaining Based Bid Optimizer for Sponsored Search Auctions
The on-line advertising market involving displaying of Ads against search results by a search engine is growing at a fast rate. A majority of the search engine companies sell their advertising space through auctions which ... -
New Methods for Learning from Heterogeneous and Strategic Agents
(2018-05-21)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 ... -
New Models and Methods for Formation and Analysis of Social Networks
Social networks are an inseparable part of human lives, and play a major role in a wide range of activities in our day-to-day as well as long-term lives. The rapid growth of online social networks has enabled people to ... -
New Techniques for Automatic Short Answer Grading
Assessing acquired knowledge by students is one of the key aspects of the pedagogical ecosystem. A significant part of a teacher’s time is spent towards grading responses of students to questions given in assignments and ... -
Novel Algorithms for Improving Agricultural Planning and Operations using Artificial Intelligence and Game Theory
This dissertation work is motivated by the critical need to address a perennial global problem, namely, how to mitigate the distress of the small and marginal agricultural farmers in emerging economies. Key reasons behind ... -
A Novel Game Theoretic And Voting Mechanism Based Approach For Carbon Emissions Reduction
(2014-08-07)Global warming is currently a major challenge facing the world. There are widespread ongoing efforts in the form of summits, conferences, etc., to find satisfactory ways of surmounting this challenge. The basic objective ... -
Novel Mechanisms For Allocation Of Heterogeneous Items In Strategic Settings
(2012-04-20)Allocation of objects or resources to competing agents is a ubiquitous problem in the real world. For example, a federal government may wish to allocate different types of spectrum licenses to telecom service providers; a ... -
Optimal Mechanisms for Selling Two Heterogeneous Items
(2018-07-04)We consider the problem of designing revenue-optimal mechanisms for selling two heterogeneous items to a single buyer. Designing a revenue-optimal mechanism for selling a single item is simple: Set a threshold price based ... -
Procurement Network Formation : A Cooperative Game Theoretic Approach
(2009-04-16)Complex economic activity often involves inter-relationships at several levels of production, often referred to as supply chains or procurement networks. In this thesis we address the problem of forming procurement networks ... -
Resolving the Complexity of Some Fundamental Problems in Computational Social Choice
(2017-12-16)In many real world situations, especially involving multiagent systems and artificial intelligence, participating agents often need to agree upon a common alternative even if they have differing preferences over the available ... -
A Study of Thompson Sampling Approach for the Sleeping Multi-Armed Bandit Problem
(2018-05-29)The multi-armed bandit (MAB) problem provides a convenient abstraction for many online decision problems arising in modern applications including Internet display advertising, crowdsourcing, online procurement, smart grids, ...