Search for dissertations about: "Backward Induction"

Found 4 swedish dissertations containing the words Backward Induction.

  1. 1. Evolution and the Backward Induction Problem in the Repeated Prisoners’ Dilemma

    Author : Vilhelm Verendel; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; Evolution; Out of equilibrium; Learning; Game theory; Backward induction; Repeated Prisoners’ Dilemma;

    Abstract : The finitely Repeated Prisoners’ Dilemma (RPD) is a model of a social dilemma where cooperation is particularly hard to come by. The standard way to solve the game is usingbackward induction, which by a particular logic gradually eliminates all cooperation from the end of a repeated game. READ MORE

  2. 2. Models of Cooperation, Learning and Catastrophic Risk

    Author : Vilhelm Verendel; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; SAMHÄLLSVETENSKAP; SAMHÄLLSVETENSKAP; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; SOCIAL SCIENCES; SOCIAL SCIENCES; Backward Induction; Bayesian analysis; Finitely Repeated Prisoners Dilemma; Cooperation; Fermi Paradox; Learning; Climate negotiations; Catastrophic risk;

    Abstract : Our world presents us with dangers and opportunities. Some of these dangers and opportunities are easier to handle if two or more individuals learn to cooperate. This thesis contributes five papers about cooperation, learning and catastrophic risk. READ MORE

  3. 3. Sample Efficient Bayesian Reinforcement Learning

    Author : Divya Grover; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURVETENSKAP; TEKNIK OCH TEKNOLOGIER; NATURAL SCIENCES; NATURAL SCIENCES; ENGINEERING AND TECHNOLOGY; Decision Making under Uncertainty; Bayesian Reinforcement Learning; Model based Reinforcement Learning;

    Abstract : Artificial Intelligence (AI) has been an active field of research for over a century now. The research field of AI may be grouped into various tasks that are expected from an intelligent agent; two major ones being learning & inference and planning . READ MORE

  4. 4. On the Optimisation and Regulation of Clinical Trials

    Author : Sebastian Jobjörnsson; Chalmers University of Technology; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; decision theory; Bayesian statistics; optimal stopping.; clinical trials; subgroup analysis; drug regulation;

    Abstract : The basic premise of this thesis is that Bayesian Decision Theory (BDT) can and should be used to solve clinical trial design problems. While the flexibility of the framework allows for accommodating a great variety of situations, it also requires an explicit consideration of the gains and costs associated with the trial. READ MORE