15,425 research outputs found

    Implementation of the Recursive Core for Partition Function Form Games

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    In partition function form games, the recursive core (r-core) is implemented by a modified version of Perry and Reny’s (1994) non-cooperative game. Specifically, every stationary subgame perfect Nash equilibrium (SSPNE) outcome is an r-core outcome. With the additional assumption of total r-balancedness, every r-core outcome is an SSPNE outcome.REcursive Core, Nash Equilibrium, Partition Function Form Games

    Desynchronization of Large Scale Delayed Neural Networks

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    We consider a ring of identical neurons with delayed nearest neighborhood inhibitory interaction. Under general conditions, such a network has a slowly oscillatory synchronous periodic solution which is completely characterized by a scalar delay di erential equation with negative feedback. Despite the fact that the slowly oscillatory periodic solution of the scalar equation is stable, we show that the associated synchronous solution is unstable if the size of the network is large

    A Successful Experience of Traceability System for the Case of Yin Chuan Organic Farm in Taiwan

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    In Taiwan, the traceability system (TS) of whole food chain is in infantile time. Yin Chuan Organic Farm, constituted by the team of rice production and marketing (TRPM), is the first brand in Taiwan rice market. The leader of TRPM is not only to produce the premising rice quality, but also to implement the (TS) that was introduced by Taiwan government with a great result and could be a successful experience passed to other proprietors. The findings of this paper are listed as following: 1. The TS executed by the case is only emphasized on the production side that needs to build more detailed marketing side. 2. The key successful factor to get sound TS model is to have obvious purposes and system harmony.traceability system, food safety, organic food, analytic hierarchy process (AHP), Agribusiness, Food Consumption/Nutrition/Food Safety,

    Combining Spot and Futures Markets: A Hybrid Market Approach to Dynamic Spectrum Access

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    Dynamic spectrum access is a new paradigm of secondary spectrum utilization and sharing. It allows unlicensed secondary users (SUs) to exploit opportunistically the under-utilized licensed spectrum. Market mechanism is a widely-used promising means to regulate the consuming behaviours of users and, hence, achieves the efficient allocation and consumption of limited resources. In this paper, we propose and study a hybrid secondary spectrum market consisting of both the futures market and the spot market, in which SUs (buyers) purchase under-utilized licensed spectrum from a spectrum regulator, either through predefined contracts via the futures market, or through spot transactions via the spot market. We focus on the optimal spectrum allocation among SUs in an exogenous hybrid market that maximizes the secondary spectrum utilization efficiency. The problem is challenging due to the stochasticity and asymmetry of network information. To solve this problem, we first derive an off-line optimal allocation policy that maximizes the ex-ante expected spectrum utilization efficiency based on the stochastic distribution of network information. We then propose an on-line VickreyCClarkeCGroves (VCG) auction that determines the real-time allocation and pricing of every spectrum based on the realized network information and the pre-derived off-line policy. We further show that with the spatial frequency reuse, the proposed VCG auction is NP-hard; hence, it is not suitable for on-line implementation, especially in a large-scale market. To this end, we propose a heuristics approach based on an on-line VCG-like mechanism with polynomial-time complexity, and further characterize the corresponding performance loss bound analytically. We finally provide extensive numerical results to evaluate the performance of the proposed solutions.Comment: This manuscript is the complete technical report for the journal version published in INFORMS Operations Researc

    Multiagent model and mean field theory of complex auction dynamics

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    Acknowledgements We are grateful to Ms Yinan Zhao for providing the data and to Yuzhong Chen and Cancan Zhou for discussions and suggestions. This work was supported by ARO under Grant No. W911NF-14-1-0504 and by NSFC under Grants Nos. 11275003 and 61174165. The visit of QC to Arizona State University was partially sponsored by the State Scholarship Fund of China.Peer reviewedPublisher PD
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