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In this paper, we propose AIs using Monte-Carlo Tree Search (MCTS) for generating game plays considering the play arc. Our results show that the proposed method is effective for creating such game plays in a fighting game.
Recently, crowdsourcing system has emerged as an effective platform for performing tasks. However, the workers in crowdsourcing systems are selfish and aim to strategically maximize their own benefit, which damages the system performance. In this paper, we model the interaction between workers as an iterated game to attract the participation of workers with high-quality services. We propose two zero-determinant...
We consider a problem of how to effectively diffuse a new product over social networks by incentivizing selfish users. Traditionally, this problem has been studied in the form of influence maximization via seeding, where most prior work assumes that seeded users unconditionally and immediately start by adopting the new product and they stay at the new product throughout their lifetime. However, in...
Crowdsourcing applications are vulnerable to malicious behaviors, posing serious threats to their adoption and large deployment. Based on the notion that the requestor (i.e., the crowdsourcer) can block malicious behaviors via leveraging the market power through task allocation and pricing, we propose two novel frameworks based on the mechanism design game theory (i.e., the reverse game theory). To...
Incentive-driven advanced attacks have become a major concern to cyber-security. Traditional defense techniques that adopt a passive and static approach by assuming a fixed attack type are insufficient in the face of highly adaptive and stealthy attacks. In particular, a passive defense approach often creates information asymmetry where the attacker knows more about the defender. To this end, moving...
Cloud storage is vulnerable to advanced persistent threats (APTs), in which an attacker launches stealthy, continuous, well-funded and targeted attacks on storage devices. In this paper, cumulative prospect theory (CPT) is applied to study the interactions between a defender of cloud storage and an APT attacker when each of them makes subjective decisions to choose the scan interval and attack interval,...
We present a novel solution for Channel Assignment Problem (CAP) in Device-to-Device (D2D) wireless networks that takes into account the throughput estimation noise. CAP is known to be NP-hard in the literature and there is no practical optimal learning algorithm that takes into account the estimation noise. In this paper, we first formulate the CAP as a Stochastic Optimization Problem (SOP) to maximize...
In this paper, a game-theoretical solution concept is utilized to tackle the collusion attack in a SDN-based framework. In our proposed setting, the defenders (i.e., switches) are incentivized not to collude with the attackers in a repeated-game setting that utilizes a reputation system. We first illustrate our model and its components. We then use a socio-rational approach to provide a new anti-collusion...
In still developing, public cloud-computing markets, prices for virtual machine (VM) offerings fluctuate, and not just for spot/preemptible instances. Moreover, some (particularly derivative) providers allow for fine-grain initial resource provisioning and dynamic reprovisioning of VMs. In this preliminary study, we consider long-lived tenants of a public cloud under resource-based service-level agreements...
With the tremendous volume explosion of big data video contents in future wireless networks, ensuring Quality of Experience (QoE) of the End User (EU) by leveraging communication context becomes an important issue. In this paper, we propose a context-aware wireless multimedia relay solution to incentivize user devices participating in wireless relay services. In this proposed approach, QoE and price...
Wireless network virtualization is an emerging paradigm to improve spectrum utilization by sharing wireless resources through slicing. In this paper, we investigate interactions between mobile virtual network operators (MVNOs) and users as a Stackelberg game. We leverage wireless virtualization while creating MVNOs that provide wireless coverage by subleasing the frequencies from owners of wireless...
Recently the quick development of virtual technology has made technology-aided learning more versified and education revolution more advanced. With visual and audio stimulation, technology-aided teaching can make student pay more attention than traditional way. Currently the way of learning idioms in elementary school is of more traditional way, which, without multiple interactions with students,...
This paper studies the Major-League Baseball (MLB) Playoffs forecast. In general, the MLB related records are so numerous and complex, so it is very difficult to read and do the useful prediction. And invalid records will also affect the accuracy, computing time, performance of the classifier.
Growing attention is being paid to the use of game-based learning in education, due to the rapid progress of information technology Internet. Students need to cultivate not only their own abilities, but also the ability of collaboration after graduation. However, collaboration must be directed by appropriate guidance in order to demonstrate the expected results, the rules of the game guide can be...
“Obesity” is the Civilized disease of many developed countries. Many people attempt to control daily diet and participate in related activities of health promotion in order to manage their weight, to improve body shape, or maintain self-health. However, there are lot of people fail to perform the related activities of health promotion continuously because of the lack of motivation. The purpose of...
Preschoolers as digital native cannot avoid gadgets. Game applications are more accessible to them. People believe that games have a negative impact such as bad character and violence. Nevertheless, the game can be developed into a fun tool. This research aimed to design a game prototype boosting cognitive abilities for preschoolers. Prototyping and testing the game system were the method. A preschoolers'...
It's really important that how to keep cognitive functions of elderly. According to several research result shows, regular doing exercise or playing games may help elderly slowing down degeneration. In this study, we attempt to combine narrative concept and dynamic assessment theory to develop a kinect-based game for elderly on cognitive functions training. Moreover, a Web-based management system...
In this paper, a joyful Kinect-based learning system combining with game model and ARCS model is developed to learn the relevant knowledge of animals and enhance learning interest and learning outcomes of the learners. The system has the following characteristics: developing learning materials by combining joyful learning with ARCS model; guiding the learners to enjoy the joyful learning and generate...
The visual image design of Olympic Games is an crucial task for each hosting country for which embodies the connotation of the Olympic games. The visual image design of 2016 Rio Olympic Games not only expressed the eternal Olympic spirits, but also conveyed the special understanding on Brazil's Rio Olympic Games. The construction of stadiums, opening ceremony and rewarding medals, communicated its...
Stroke is a major cause of adult disability and up to two thirds of stroke survivors have left with motor deficits of the affected upper limb (UL). Rehabilitation is the main therapeutic approach for reducing poststroke functional deficits but significant variability exists between patients regarding rehabilitation efficacy. Because the recovery mechanisms induced by rehabilitation are not fully understood,...
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