11,781 research outputs found

    Using Bid Design to Measure the Boundaries of WTP

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    We examine the extent to which bid design provides an informative anchor that influences the context in which individuals evaluate willingness to pay questions. We postulate that agents who are uncertain over possible states of nature that may arise when consuming a good use bid design as a means to resolve such uncertainty. Furthermore, we hypothesize that the impact of bid design on estimated WTP is less pronounced for experienced agents that have observed more draws from nature. We use three measure of bid design to evaluate our conjectures; (i) the mean of bid amounts, (ii) the absolute value of the difference between bid amounts, and (iii) the ratio of the mean to the spread. We interact proxies for individual experience with our measure of bid design to evaluate if such characteristics attenuate the impact of bid design on WTP estimates. We find the likelihood an individual says Yes to a given bid systematically varies with measures of bid design. This suggests that bid design provides an informative anchor and can be used to identify probabilistic boundaries for WTP.Demand and Price Analysis,

    Human/Artificial Intelligence Coordination in Video Games

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    The emergence of video games has led to widespread inventions to enhance the reality of the experience. As a result, Artificial Intelligence (A.I.) was developed to create virtual experiences and attract a variety of players of video games. This paper will discuss video games in the context of Human-A.I. interaction and the importance of human coordination in video games. Unprecedented errors have been a common challenge in this relationship. An excellent example of these algorithms include population-based training and self-play, which have gained a lot of interest in video games. A.I. technology has surpassed human ability because they are simply activities that are complicated and risky. In some cases, the integration of A.I. relieves human beings from actively participating in the collaboration process. The development of direct policy learning made behavioral cloning more superior. In both technologies, the expert gives demonstrations based on a given policy in the system. Human beings have a challenge of understanding specific coordination protocols that can be well outlined by converging with similar agents. For example, the video game commonly known as Overcooked uses a model similar to human play even though it needs a complicated coordination. Artificial intelligence will also be addressed as agents for the purpose of this paper
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