R. Lavi and C. Swamy (FOCS 2005, J. ACM 58(6), 25, 2011) introduced a general method for obtaining truthful-in-expectation mechanisms from linear programming based approximation algorithms. Due to the use of the Ellipsoid method, a direct implementation of the method is unlikely to be efficient in practice. We propose to use the much simpler and usually faster multiplicative weights update method instead. The simplification comes at the cost of slightly weaker approximation and truthfulness guarantees.
Keywords Algorithmic game theory · Mechanism design · Approximation algorithmsA preliminary version of these results was presented at SAGT 2015 [8].
Aims: Physical activities, as well as diet, are known as the truest scientific methods to reduce the signs of the cardio-vascular diseases. The aim of this study was to investigate the effects of 8-week aerobic trainings and green tea supplementation on some of the cardio-vascular risk factors in the obese inactive women. Materials & Methods: In the semi-experimental study, 40 obese inactive women, who were residents of Mashhad Township, were studied in 2015. The subjects, selected via purposeful available sampling method, were randomly divided into 4 groups (n=10 per group). The groups were green tea, aerobic training, aerobic training and green tea supplementation, and control groups. 8week training program consisted of three 45-to 60-minute sessions per week. Green tea was consumed by green tea group three times a day after each meal. The composed group underwent both interventions, while control group underwent no intervention. Data was analyzed by SPSS 15 software using correlated T test and one-way ANOVA. Findings: Mean total cholesterol level was significantly changed in green tea, aerobic training, and composed groups in the posttest stage compared to the pretest stage (p<0.05). Mean triglyceride level was significantly changed in green tea and aerobic training groups in the posttest stage compared to the pretest stage (p<0.05). Mean low density lipoprotein was significantly changed in green tea and composed groups in the posttest stage compared to the pretest stage (p<0.05). Mean high-density lipoprotein was significantly changed only in aerobic group in posttest stage compared to the pretest stage (p<0.05). In addition, mean concentration of C-reactive protein was significantly reduced in aerobic training (p=0.01) and composed (p=0.04) groups. Conclusion: 8 weeks aerobic training, green tea consumption, and their composition reduce the cardiovascular risk factors in inactive obese women in a relatively similar manner.
Social intelligence is the ability of manage and improve one's relation with others which can lead to better joint performance in a group. Social intelligence can improve agents' interaction in a multi-agent system. Negotiation is a multi-agent system in which agents are cooperating to reach a joint agreement as well as gain more individual utility. This situation has great potential for conflict between social and individual goals. In this paper, in order to compromise to reach both social and individual goals, emotional-social agents are proposed to manage negotiation interactions. Experimental results show that emotional-social negotiator agents reach fair agreement, and also achieve more individual gain.
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