3 resultados para Computer Game Testing

em Bucknell University Digital Commons - Pensilvania - USA


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The ultimatum game is a commonly used economics game testing humans' sense of fairness. In the game, a "proposer" is given a sum of money and is told they can split it however they want with another human partner. The partner can then either accept the division and both proposer and responder receive the proposed amounts, or the responder can reject the offer and neither player will get anything. Human subjects from most western cultures typically share almost half of an allotted amount, but it remains unknown whether our close primate relatives share this generosity. Recent attempts to present chimpanzees with the ultimatum game have provided inconclusive results, with some studies finding the animals share humans' disposition to behave 'fairly' and others concluding that chimpanzees act selfishly to maximize their own rewards. Capuchin monkeys are known to share many human and chimpanzee social and cooperative behaviors, and this study was the first to present capuchin monkeys with a version of the ultimatum game. Subjects were presented with two differently colored tokens representing different qualitative reward contingencies, one equitable and the other inequitable in favor of the subject proposer. Subjects could select and place one of the tokens in a transfer container. The capuchins were first tested with a "dictator game" where, after the subject monkey selected a token, the rewards (equitable or inequitable) were distributed to the subject and a nearby partner monkey that was not an active participant. The capuchins were then tested on an ultimatum game in which after the subject selected and placed a token in the container, the container was moved to the partner. The partner needed to remove the token and transfer it back to the experimenter for the rewards to be distributed. As such, the partner could reject the subject's offer by refusing to participate and neither would receive a reward. The experiment was conducted to determine if the subject monkey would select the equitable reward option rather than the selfish option in order to maintain the partner's cooperation in the task. Capuchin subjects behaved selfishly and selected the inequitable token significantly more often than the equitable token in both the dictator and ultimatum game with no significant difference in preference between the two games. Interestingly, despite the occasional occurrence of rejection by the partner monkeys (resulting in no reward for the subject), subjects never altered their strategy, continuing to prefer the selfish token. The study may indicate that capuchin monkeys have an inability to judge the effect of their behavior on a conspecific's reward outcome, or an indifference to the outcome if there is an individual cost associated with behaving prosocially.

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In the past few decades, integrated circuits have become a major part of everyday life. Every circuit that is created needs to be tested for faults so faulty circuits are not sent to end-users. The creation of these tests is time consuming, costly and difficult to perform on larger circuits. This research presents a novel method for fault detection and test pattern reduction in integrated circuitry under test. By leveraging the FPGA's reconfigurability and parallel processing capabilities, a speed up in fault detection can be achieved over previous computer simulation techniques. This work presents the following contributions to the field of Stuck-At-Fault detection: We present a new method for inserting faults into a circuit net list. Given any circuit netlist, our tool can insert multiplexers into a circuit at correct internal nodes to aid in fault emulation on reconfigurable hardware. We present a parallel method of fault emulation. The benefit of the FPGA is not only its ability to implement any circuit, but its ability to process data in parallel. This research utilizes this to create a more efficient emulation method that implements numerous copies of the same circuit in the FPGA. A new method to organize the most efficient faults. Most methods for determinin the minimum number of inputs to cover the most faults require sophisticated softwareprograms that use heuristics. By utilizing hardware, this research is able to process data faster and use a simpler method for an efficient way of minimizing inputs.

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While beneficially decreasing the necessary incision size, arthroscopic hip surgery increases the surgical complexity due to loss of joint visibility. To ease such difficulty, a computer-aided mechanical navigation system was developed to present the location of the surgical tool relative to the patient¿s hip joint. A preliminary study reduced the position error of the tracking linkage with limited static testing trials. In this study, a correction method, including a rotational correction factor and a length correction function, was developed through more in-depth static testing. The developed correction method was then applied to additional static and dynamic testing trials to evaluate its effectiveness. For static testing, the position error decreased from an average of 0.384 inches to 0.153 inches, with an error reduction of 60.5%. Three parameters utilized to quantify error reduction of dynamic testing did not show consistent results. The vertex coordinates achieved 29.4% of error reduction, yet with large variation in the upper vertex. The triangular area error was reduced by 5.37%, however inconsistent among all five dynamic trials. Error of vertex angles increased, indicating a shape torsion using the developed correction method. While the established correction method effectively and consistently reduced position error in static testing, it did not present consistent results in dynamic trials. More dynamic paramters should be explored to quantify error reduction of dynamic testing, and more in-depth dynamic testing methodology should be conducted to further improve the accuracy of the computer-aided nagivation system.