Date Available
7-29-2015
Year of Publication
2015
Document Type
Doctoral Dissertation
Degree Name
Doctor of Philosophy (PhD)
College
Engineering
Department/School/Program
Computer Science
Advisor
Dr. Judy Goldsmith
Abstract
In the hedonic coalition formation game model Roles Based Hedonic Games (RBHG), agents view teams as compositions of available roles. An agent's utility for a partition is based upon which role she fulfills within the coalition and which additional roles are being fulfilled within the coalition. I consider optimization and stability problems for settings with variable power on the part of the central authority and on the part of the agents. I prove several of these problems to be NP-complete or coNP-complete. I introduce heuristic methods for approximating solutions for a variety of these hard problems. I validate heuristics on real-world data scraped from League of Legends games.
Recommended Citation
Spradling, Matthew, "Role Based Hedonic Games" (2015). Theses and Dissertations--Computer Science. 38.
https://uknowledge.uky.edu/cs_etds/38
