Working memory(WM)allows humans to hold necessary information in temporary storage and manipulate such information online for higher-order cognitive functions,such as language understanding,decision making,and probl...Working memory(WM)allows humans to hold necessary information in temporary storage and manipulate such information online for higher-order cognitive functions,such as language understanding,decision making,and problem solving.Since its first appearance in the science of psychology in the 1960s,many theories have sought to elucidate the nature of WM.The most accepted model is展开更多
The reputation-based trust mechanism is a way to assess the trustworthiness of offered services, based on the feedback obtained from their users. In the absence of appropriate safeguards, service users can still manip...The reputation-based trust mechanism is a way to assess the trustworthiness of offered services, based on the feedback obtained from their users. In the absence of appropriate safeguards, service users can still manipulate this feedback. Auction mechanisms have already addressed the problem of manipulation by market- trading participants. When auction mechanisms are applied to trust systems, their interaction with the trust systems and associated overhead need to be quantitatively evaluated. This paper proposes two distributed architectures based on centralized and hybrid computing for integrating an auction mechanism with the trust systems. The empirical evaluation demonstrates how the architectures help to discourage users from giving untruthful feedback and reduce the overhead costs of the auction mechanisms.展开更多
文摘Working memory(WM)allows humans to hold necessary information in temporary storage and manipulate such information online for higher-order cognitive functions,such as language understanding,decision making,and problem solving.Since its first appearance in the science of psychology in the 1960s,many theories have sought to elucidate the nature of WM.The most accepted model is
文摘The reputation-based trust mechanism is a way to assess the trustworthiness of offered services, based on the feedback obtained from their users. In the absence of appropriate safeguards, service users can still manipulate this feedback. Auction mechanisms have already addressed the problem of manipulation by market- trading participants. When auction mechanisms are applied to trust systems, their interaction with the trust systems and associated overhead need to be quantitatively evaluated. This paper proposes two distributed architectures based on centralized and hybrid computing for integrating an auction mechanism with the trust systems. The empirical evaluation demonstrates how the architectures help to discourage users from giving untruthful feedback and reduce the overhead costs of the auction mechanisms.