Understanding the performance of decision strategies in dynamic environments

Created by W.Langdon from gp-bibliography.bib Revision:1.3872

@PhdThesis{Meyer:thesis,
  author =       "Georg Meyer",
  title =        "Understanding the performance of decision strategies
                 in dynamic environments",
  school =       "University of Minnesota",
  year =         "2012",
  address =      "USA",
  month =        aug,
  keywords =     "genetic algorithms, genetic programming",
  URL =          "http://purl.umn.edu/138310",
  URL =          "http://conservancy.umn.edu/bitstream/handle/11299/138310/Meyer_umn_0130E_13096.pdf",
  size =         "213 pages",
  abstract =     "A decision strategy is systematic way of choosing
                 among alternatives or eliminating options in order to
                 arrive at a goal. Individuals apply decision strategies
                 in dynamic environments that require repeated decision
                 making where decisions are path-dependent,
                 time-constrained, and the environment changes not only
                 in response to the actions taken by the decision maker
                 but also autonomously. In addition to being used by
                 individual agents, decision strategies are found in
                 organizations in the form of policies, guidelines, and
                 algorithms. This research consists of three studies
                 that apply a process control perspective to dynamic
                 decision making. Study 1 investigates the features of
                 decision strategies that affect performance. It finds
                 that strategies perform well if they possess a strong
                 mental model that accurately represents the decision
                 problem or if they are well adapted to the problem
                 environment. Based on these findings, Study 2 develops
                 a machine learning approach to improve the mental
                 model, and Study 3 develops an evolutionary approach to
                 adapt decision strategies to a given environment. Both
                 approaches are shown to be effective for constructing
                 strategies with greater performance.",
  notes =        "Advisors, Paul E. Johnson and Gedas Adomavicius",
}

Genetic Programming entries for Georg Meyer

Citations