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Showing 1 to 20 of 31 for “"decision strategies"”.

  1. Essays on modeling and measurement of consumers' decision strategies

    … to modeling and measurement of consumer decision strategies. The focus is on decision strategies that deviate from von Neumann-Morgenstern utility theory. Essays 1 and 2 explore decision rules that consumers use to form their consideration sets. Essay 1 proposes …

    mit Repository record for Essays on modeling and measurement of consumers' decision strategies (opens in a new tab)

  2. Optimization and decision strategies for medical preparedness and emergency response

    … models, real-time algorithms, and computerized decision support systems that enable (1) systematic coordination to tackle multifaceted nature of mass dispensing, (2) fast disease propagation module to allow immediate mitigation response to on-site uncertainties, and (3) user-friendly platform to …

    gatech Repository record for Optimization and decision strategies for medical preparedness and emergency response (opens in a new tab)

  3. Optimal Response in Decision Making: An Experimental Investigation of Decision Strategies

    A decision process can be conceptually separated into a perceptual process and a decision strategy. The former includes all the different mechanisms that contribute to accumulate information relevant to the decision, whereas the decision strategy determines when enough information has been …

    plymouth Repository record for Optimal Response in Decision Making: An Experimental Investigation of Decision Strategies (opens in a new tab)

  4. Towards patient selection for cranial proton beam therapy – Assessment of current patient-individual treatment decision strategies

    Proton beam therapy shows dosimetric advantages in terms of sparing healthy tissue compared to conventional photon radiotherapy. Those patients who are supposed to experience the greatest reduction in side effects should preferably be treated with proton beam therapy. One option for this patient …

    qucosa-diss

  5. Comparative efficacies of decision strategies and the effects of learning in dynamic environments: a computer simulation approach

    … with micro-empirical knowledge of individual decision making. This has occurred as a result of using heuristics that are derived from behavioral studies which focused on discrete incidents. This approach fails to recognize decision making as a continuous process and overlooks the importance of …

    nps Repository record for Comparative efficacies of decision strategies and the effects of learning in dynamic environments: a computer simulation approach (opens in a new tab)

  6. Optimal Inference for Distributed Detection

    … not exist an automatic way of generating optimal decision strategies for non-affine decision functions. Consequently, in a detection problem based on a non-affine decision function, establishing optimality of a given decision strategy, such as a generalized likelihood ratio test, is often …

    syracuse-diss Repository record for Optimal Inference for Distributed Detection (opens in a new tab)

  7. Quantitative Methods For Select Problems In Facility Location And Facility Logistics

    … data are available for consideration during decision making. A total of three decision strategies that can be used by an emergency manager faced with a POD location decision for which both verified and unverified data are available are proposed: Consider Only Verified, Consider All and …

    arkansas Repository record for Quantitative Methods For Select Problems In Facility Location And Facility Logistics (opens in a new tab)

  8. Data-Driven Human Decision Augmentation with Machine Learning

    … has fuelled efforts to enable more personalized decision-making in medicine and healthcare. However, the large volumes and high dimensionality of these datasets present significant challenges for human analysis and evaluation. To address these challenges, the development of advanced decision

    cambridge Repository record for Data-Driven Human Decision Augmentation with Machine Learning (opens in a new tab)

  9. Adaptive routing behavior with real time information under multiple travel objectives

    … provision and different travel objectives. The decision strategies of participants are analyzed and compared to the optimal policy, along with few other possible decision rules and a general model is calibrated to describe the travelers' decision strategy. This research is a step towards …

    texas Repository record for Adaptive routing behavior with real time information under multiple travel objectives (opens in a new tab)

  10. Anticipations of effort and accuracy in multiattribute choice

    This paper examines decision makers' ability to anticipate the effort and accuracy consequences of their decision strategies in multiattribute choice. Previous studies have examined experienced effort and accuracy associated with various strategies. However, if strategies are selected early in the …

    uiuc Repository record for Anticipations of effort and accuracy in multiattribute choice (opens in a new tab)

  11. Graph Format Effects in Processing Health Outcome Information

    Decision support tools that incorporate predictive risk estimates can be used to assist patients and their families in making better-informed choices about treatment options. The format utilized to present predictive risk estimates can influence risk perception and treatment decisions. The study …

    umkc Repository record for Graph Format Effects in Processing Health Outcome Information (opens in a new tab)

  12. Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks

    … allocation. The model is evaluated based on two decision strategies, ‘Square Law Combining' Soft fusion, and ‘Majority Rule' Hard fusion sensing. The choice of applying energy detection for local spectrum sensing is due to its efficiency and simplicity in implementation. Simulations of the …

    cape-town Repository record for Multi-Slot Cooperative Spectrum Sensing for Cognitive Radio Networks (opens in a new tab)

  13. Knowledge Problems and Entrepreneurial Strategy

    Entrepreneurs formulate and implement strategies to tackle different knowledge problems over the entrepreneurial journey. This dissertation systematically disentangled and compared the value of two strategic decision logics that have been tested little in the extant entrepreneurship literature: the …

    vt Repository record for Knowledge Problems and Entrepreneurial Strategy (opens in a new tab)

  14. Sifting customers from the clickstream : behavior pattern discovery in a virtual shopping environment

    … these changes create emergent information needs, decisions about what information to present to customers are typically made before customers have visited a web site, using data such as purchase histories and logs of web pages visited. Better understanding of customer cognition and behavior as a …

    njit Repository record for Sifting customers from the clickstream : behavior pattern discovery in a virtual shopping environment (opens in a new tab)

  15. How trial correlations and feedback shape sequential decision-making

    To make the best decisions, organisms must flexibly accumulate information, accounting for what is relevant and ignoring what is not. Many decision-making studies focus on sequences of independent trials in which the evidence gathered to make a choice, as well as the resulting actions and feedback, …

    houston Repository record for How trial correlations and feedback shape sequential decision-making (opens in a new tab)

  16. Multi-agent real-time decision making in water resources systems

    … requires a carefully designed framework coupling decision making and a mathematical abstraction of the physical system. On one hand, the choice of the decision-strategy can set limits/bounds on the maximum benefit that can be extracted from the physical system. On the other hand the mathematical …

    mit Repository record for Multi-agent real-time decision making in water resources systems (opens in a new tab)

  17. The Neural Computations In The Caudate Nucleus For Reward-Biased Perceptual Decision-Making

    Decision-making is a complex process in which our brain has to combine different sources of information, such as noisy sensory evidence and expected reward, in appropriate ways to obtain the outcome that satisfies the decision-maker. Despite various studies on perceptual decision-making and …

    penn Repository record for The Neural Computations In The Caudate Nucleus For Reward-Biased Perceptual Decision-Making (opens in a new tab)

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