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Virginia Tech

Exploring Payoffs and Beliefs in Game Theory

Abstract

dc:description.abstract

This dissertation explores the importance of the payoff structure and beliefs for noncooperative games. Chapter 2 considers instances where the payoffs and the objectives may not be very clear to the players or the analyst. We develop a model for analyzing such games using a vector of reference utilities which are included in the definition of the game and assumed to be shared by all players. These are used to obtain the true utilities in the game. Conditions for the existence of equilibrium are identified by allowing players to have beliefs about the others. The solution concept is applied to the Traveler's Dilemma and a duopoly. In Chapter 3 a non-cooperative model of network formation is developed. Agents form links based on the cost of the link and its assessed benefit. Link formation is one-sided, i.e., agents can initiate links with other agents without their consent, provided the agent forming the link makes the appropriate investment. The model builds on the work of Bala and Goyal, but allows for agent heterogeneity by allowing for different failure probabilities. We investigate Nash networks that exhibit connectedness and redundancy and provide an explicit characterization of star networks. Efficiency and Pareto-optimality issues are discussed through examples. We also explore the consequences of three alternative specifications which address criticisms of such communication networks. Chapter 4 examines noncooperative fuzzy games. Both in fuzzy noncooperative games and in abstract economies, players impose mutual restrictions on their available strategic choices. Here we combine these two theories: A player tries to minimize the restrictions he imposes on others, while respecting the restrictions imposed by others on him, but does not explicitly pursue any other objectives of his own. We establish existence of an equilibrium in this framework. In Chapter 5 normal form game is modeled using tools from fuzzy set theory. We extend the decision theory framework of Bellman and Zadeh (1970) to a game-theoretic setting. The formulation is preliminary

Degree

thesis:*
Name thesis:degree_name
Ph. D.
Level thesis:degree_level
doctoral
Discipline thesis:degree_discipline
Economics
Department dc:contributor.department
Economics (Arts and Sciences)
Grantor dc:publisher
Virginia Tech
Year dc:date.issued
2000

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Sarangi, Sudipta
Chairs dc:contributor.committeechair
  • Gilles, Robert P.
  • Haller, Hans H.
Committee members dc:contributor.committeemember
  • Stegeman, Mark
  • Feltenstein, Andrew
  • Ball, Sheryl B.

Subjects

dc:subject × 4

Rights

dc:rights
Statement dc:rights
  • In Copyright

Identifiers

dc:identifier.*
Dc Identifier Other
etd-08072000-17060036
OAI identifier oai:identifier
oai:vtechworks.lib.vt.edu:10919/28556

Chain of custody

source
Harvested from
Virginia Tech
Base URL
vtechworks.lib.vt.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
citation

Sarangi, Sudipta. Exploring Payoffs and Beliefs in Game Theory. doctoral thesis, Virginia Tech, 2000. http://hdl.handle.net/10919/28556