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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

Systémy protiraketové obrany v oblasti severovýchodní Asie a jejich vliv na strategické chování ČLR v regionu / Missile Defence in Northeast Asia and its Influence on the Chinese Strategic Behaviour

Mareš, Tomáš January 2013 (has links)
Master thesis analyzes strategic behavior of the PRC in the region of the Northeast Asia in direct relationship with regional missile defense. The aim is to analyze motives of China`s regional strategic behavior with respect to the specific technological element (= Theatre Missile Defense) on the basis of predetermined analytical levels: realistic, liberal and constructivist. But there are great differences in technological configuration of individual missile defense systems or in the configuration of the relationship of regional actors with the PRC. Thus the thesis will comprise of case studies analyzing the complex relationship of the PRC and regional actors (that are creating regional missile defense). The creation of regional missile defense can endanger China`s vital strategic interests (in the region of Northeast Asia) under specific conditions. But the regional strategic behaviour of the PRC is moderate. The aim is to explain, why the PRC does not change its regional strategic behavior in direct connection with emerging theater missile defence.
22

GAME-THEORETIC MODELING OF MULTI-AGENT SYSTEMS: APPLICATIONS IN SYSTEMS ENGINEERING AND ACQUISITION PROCESSES

Salar Safarkhani (9165011) 24 July 2020 (has links)
<div><div><div><p>The process of acquiring the large-scale complex systems is usually characterized with cost and schedule overruns. To investigate the causes of this problem, we may view the acquisition of a complex system in several different time scales. At finer time scales, one may study different stages of the acquisition process from the intricate details of the entire systems engineering process to communication between design teams to how individual designers solve problems. At the largest time scale one may consider the acquisition process as series of actions which are, request for bids, bidding and auctioning, contracting, and finally building and deploying the system, without resolving the fine details that occur within each step. In this work, we study the acquisition processes in multiple scales. First, we develop a game-theoretic model for engineering of the systems in the building and deploying stage. We model the interactions among the systems and subsystem engineers as a principal-agent problem. We develop a one-shot shallow systems engineering process and obtain the optimum transfer functions that best incentivize the subsystem engineers to maximize the expected system-level utility. The core of the principal-agent model is the quality function which maps the effort of the agent to the performance (quality) of the system. Therefore, we build the stochastic quality function by modeling the design process as a sequential decision-making problem. Second, we develop and evaluate a model of the acquisition process that accounts for the strategic behavior of different parties. We cast our model in terms of government-funded projects and assume the following steps. First, the government publishes a request for bids. Then, private firms offer their proposals in a bidding process and the winner bidder enters in a con- tract with the government. The contract describes the system requirements and the corresponding monetary transfers for meeting them. The winner firm devotes effort to deliver a system that fulfills the requirements. This can be assumed as a game that the government plays with the bidder firms. We study how different parameters in the acquisition procedure affect the bidders’ behaviors and therefore, the utility of the government. Using reinforcement learning, we seek to learn the optimal policies of involved actors in this game. In particular, we study how the requirements, contract types such as cost-plus and incentive-based contracts, number of bidders, problem complexity, etc., affect the acquisition procedure. Furthermore, we study the bidding strategy of the private firms and how the contract types affect their strategic behavior.</p></div></div></div>

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