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BEGIN:VEVENT
DTSTAMP:20260723T151307Z
DTSTART;VALUE=DATE-TIME:20260714T110000
DTEND;VALUE=DATE-TIME:20260714T120000
SUMMARY:CS Seminar on Game Theory by Prof. D. Manjunath
TZID:Europe/London
UID:20260714-8ac672c59f417add019f5acbeec424c4@warwick.ac.uk
CREATED:20260713T092542Z
DESCRIPTION:Title: Blotto on the Ballot: A Ballot Stuffing Blotto Game Ab
 stract: We consider the following Colonel Blotto game between parties P1
  and PA. P1 deploys a non negative number of troops across J battlefield
 s\, while PA chooses K\, K < J\, battlefields to remove all of P1's troo
 ps from the chosen battlefields. P1 has the objective of maximizing the 
 number of surviving troops while PA wants to minimize it. Drawing an ana
 logy with ballot stuffing by a party contesting an election and the coun
 termeasures by the Election Commission to negate that\, we call this the
  Ballot Stuffing Game. For this zero-sum resource allocation game\, we o
 btain the set of Nash equilibria as a solution to a convex combinatorial
  optimization problem. We analyze this optimization problem and obtain i
 nsights into the several non trivial features of the equilibrium behavio
 r. These features in turn allow to describe the structure of the solutio
 ns and efficient algorithms to obtain then. The model is described as ba
 llot stuffing game in a plebiscite but has applications in security and 
 auditing games. The results are extended to a parliamentary election mod
 el. Numerical examples illustrate applications of the game. Bio: D. Manj
 unath received his BE from Mysore University\, MS from IIT Madras and Ph
 D from Rensselaer in 1986\, 1989\, and 1993 respectively. He has been wi
 th the Electrical Engineering Dept. of IIT Bombay since July 1998. He ha
 s previously worked in CR&D of GE in Schenectady NY (1990)\, CIS Dept. o
 f Univ. of Delaware (1992--93)\, CS Dept. Univ. of Toronto (1993--94) an
 d EE Dept. of IIT Kanpur (1994--98). At IIT Bombay\, he was head of Comp
 uter Centre during 2011-15 and Head\, Centre for Machine Intelligence an
 d Data Science (CMInDS) during 2023-3026. His research interests are in 
 the general areas of computer & communication networks and performance a
 nalysis. Some of his recent research has concentrated on economics of th
 e Internet and AI\, multi-armed bandit problems\, pricing and queue cont
 rol.
LOCATION:CS1.04
CATEGORIES:Computer Science Colloquium,Theory and Foundations,AI & ML Sys
 tems,Systems and Security
LAST-MODIFIED:20260713T092542Z
ORGANIZER;CN=Arpan Mukhopadhyay:
END:VEVENT
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