1,206 research outputs found

    Role of the effective payoff function in evolutionary game dynamics

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    In most studies regarding evolutionary game dynamics, the effective payoff, a quantity that translates the payoff derived from game interactions into reproductive success, is usually assumed to be a specific function of the payoff. Meanwhile, the effect of different function forms of effective payoff on evolutionary dynamics is always left in the basket. With introducing a generalized mapping that the effective payoff of individuals is a non-negative function of two variables on selection intensity and payoff, we study how different effective payoff functions affect evolutionary dynamics in a symmetrical mutation-selection process. For standard two-strategy two-player games, we find that under weak selection the condition for one strategy to dominate the other depends not only on the classical {\sigma}-rule, but also on an extra constant that is determined by the form of the effective payoff function. By changing the sign of the constant, we can alter the direction of strategy selection. Taking the Moran process and pairwise comparison process as specific models in well-mixed populations, we find that different fitness or imitation mappings are equivalent under weak selection. Moreover, the sign of the extra constant determines the direction of one-third law and risk-dominance for sufficiently large populations. This work thus helps to elucidate how the effective payoff function as another fundamental ingredient of evolution affect evolutionary dynamics.Comment: This paper has been accepted to publish on EP

    Sustainable Local Agriculture to Support Liuzhou\u27s Metropolitan Complex

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    In China, a majority of the population is involved in the large agricultural economy. Since rural incomes lag well behind those of urban areas, improving farm income is a major concern. The rising demand for meat caused by the development of the urban economy and society makes development of a breeding industry a mutually beneficial way to do this. Liuzhou City has a rural population of 1,596,800, accounting for 41.75 percent of the total resident population. The municipal government is focused on the efforts to develop the whole city\u27s breeding industry, but it could not be done using traditional methods. Small backyard breeding operators posed a serious constraint to the development of breeding industry because of the large fluctuations they created in meat prices. These economic conditions were not conducive to expansion of the scale of breeding, but only such an expansion could solve the problem. Through a series of policies that provide financial support and loans through banks to the breeding enterprises at a discounted rate, the Liuzhou City government is mitigating the market problem and eliminating it over time as livestock production transitions from the traditional backyard model to standardized and large-scale breeding. After six years, the large scale-breeding rate has reached over 50 percent and the value of livestock production accounts for 30.88 percent of total value of agricultural output. The per capita net income of farmers has shown an annual growth rate of 14.53 percent, reaching $191.93 dollars at present

    Search and Result Presentation in Scientific Workflow Repositories

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    We study the problem of searching a repository of complex hierarchical workflows whose component modules, both composite and atomic, have been annotated with keywords. Since keyword search does not use the graph structure of a workflow, we develop a model of workflows using context-free bag grammars. We then give efficient polynomial-time algorithms that, given a workflow and a keyword query, determine whether some execution of the workflow matches the query. Based on these algorithms we develop a search and ranking solution that efficiently retrieves the top-k grammars from a repository. Finally, we propose a novel result presentation method for grammars matching a keyword query, based on representative parse-trees. The effectiveness of our approach is validated through an extensive experimental evaluation

    On Six Logics of Xi Jinping's Education Concept in the New Era

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    As the fundamental guarantee for the sustainable development of human society, education is the country's great plan and the party's plan. Since the 18th National Congress of the Communist Party of China, the Party Central Committee with Comrade Xi Jinping has attached great importance to education, and has made a series of important arrangements for education. He has profoundly discussed "what kind of people, how to train people, and who to train people". Major theoretical and practical issues such as "What kind of education, how to run education, and for whom to run education" have enriched and developed the socialist education theory with Chinese characteristics, from political logic, value logic, theoretical logic, historical logic, and realistic logic. The six aspects of practical logic have comprehensively explained the socialist education with Chinese characteristics in the new era, and constitute a unified whole with internal logic

    Answering Regular Path Queries on Workflow Provenance

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    This paper proposes a novel approach for efficiently evaluating regular path queries over provenance graphs of workflows that may include recursion. The approach assumes that an execution g of a workflow G is labeled with query-agnostic reachability labels using an existing technique. At query time, given g, G and a regular path query R, the approach decomposes R into a set of subqueries R1, ..., Rk that are safe for G. For each safe subquery Ri, G is rewritten so that, using the reachability labels of nodes in g, whether or not there is a path which matches Ri between two nodes can be decided in constant time. The results of each safe subquery are then composed, possibly with some small unsafe remainder, to produce an answer to R. The approach results in an algorithm that significantly reduces the number of subqueries k over existing techniques by increasing their size and complexity, and that evaluates each subquery in time bounded by its input and output size. Experimental results demonstrate the benefit of this approach

    How do tourism goal disclosure motivations drive Chinese tourists\u27 goal-directed behaviors? The influences of feedback valence, affective rumination, and emotional engagement

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    Based on self-determination theory and the broaden-and-build theory of positive emotion, this study investigated the motivations of disclosing tourism goals on social media and its impacts on Chinese tourists\u27 goal-directed behaviors (GDBs). We proposed and tested a mutual transformation model of tourism goal disclosure motivation under different conditions of feedback valence (positive vs. negative feedback) and examine the mediating role of tourists\u27 affective rumination and emotional engagement. The results revealed that tourists driven by extrinsic motivations develop a stronger emotional engagement in their tourism goals and exhibit more GDBs after receiving positive feedback on their disclosed tourism goals. However, negative feedback disclosed goals lowers GDBs and leads to affective rumination about tourism goals among those with intrinsic motivations. This study provides theoretical and practical implications for destination marketers to adopt marketing strategies based on the findings

    A novel approach to design low-cost two-stage frequency-response masking filters

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    The multistage frequency-response masking (FRM) technique is widely used to reduce the complexity of a filter when the transition bandwidth is extremely small. In this brief, a real generalized two-stage FRM filter without any constraint on the subfilters or the interpolation factors was proposed. New principles and equations were deduced to determine the design parameters. The subfilters were then jointly optimized using non-linear optimization. Experiential results show that when the proposed algorithm obtains different solutions with the conventional algorithm, the solution of the proposed approach is better with less number of filter coefficients and sometimes with lower delay as well than the conventional two-stage FRM, which can lead to a reduced hardware cost in applications
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