7,736 research outputs found

    Bargaining in Patent Licensing Negotiations under Stochastic Environments: An Experimental Study

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    Experiments of a bargaining game between licensors and licensees were conducted. The main treatment is to introduce a “second-chance” negotiation for licensors in a context of ultimatum game. The experimental results reveal that the introduction of the “second-chance” negotiation for licensors has significant impacts on behaviors of the licensors and licensees. This “second-chance” negotiation for licensors essentially increases the average offers made by the licensees, expected willingness-to-accept of the licensors, and offers accepted by the licensors. The market efficiency of patent transaction is improved since the rates of acceptance are strikingly raised. The licensors would be the main beneficiary with this additional opportunity

    Coal Mine Safety Comprehensive Evaluation Based on Extension Theory

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    AbstractThis paper indicates that Extenics theory can be used to solve the problem of mine safety. The method includes 4 steps: building the evaluation indexes system and matter-element model, determining the classical field and controlled field of the matter-element model of the coal mine safety comprehensive evaluation, determining the connection function of each index on every safety level and determining the evaluation grade. This paper builds up a coal mine safety comprehensive evaluation indexes system and a matter-element model of coal mine based on extension theory, and then illustrates.the model using a case of Bei-zao Mine and its data

    A Descriptive Model of Robot Team and the Dynamic Evolution of Robot Team Cooperation

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    At present, the research on robot team cooperation is still in qualitative analysis phase and lacks the description model that can quantitatively describe the dynamical evolution of team cooperative relationships with constantly changeable task demand in Multi-robot field. First this paper whole and static describes organization model HWROM of robot team, then uses Markov course and Bayesian theorem for reference, dynamical describes the team cooperative relationships building. Finally from cooperative entity layer, ability layer and relative layer we research team formation and cooperative mechanism, and discuss how to optimize relative action sets during the evolution. The dynamic evolution model of robot team and cooperative relationships between robot teams proposed and described in this paper can not only generalize the robot team as a whole, but also depict the dynamic evolving process quantitatively. Users can also make the prediction of the cooperative relationship and the action of the robot team encountering new demands based on this model. Journal web page & a lot of robotic related papers www.ars-journal.co
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