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相关概念视频

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The human brain processes information for decision-making using one of two routes: an intuitive system and a rational system (Epstein, 1994; popularized by Kahneman, 2011 as System 1 and System 2, respectively). The intuitive system is quick, impulsive, and operates with minimal effort, relying on emotions or habits to provide cues for what to do next, while the rational system is logical, analytical, deliberate, and methodical. Research in neuropsychology suggests that the...
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Ampere-Maxwell's Law: Problem-Solving01:17

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A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
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Decision Making01:20

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Decision-making is a fundamental cognitive process that involves evaluating alternatives and selecting among them. This process can range from simple choices, such as deciding what to wear, to complex decisions, like choosing a major in college or a career path. The complexity of the decision often dictates the approach we use, which can be broadly categorized into two types: automatic and controlled decision-making.
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A heuristic is a general problem-solving framework (Tversky & Kahneman, 1974). You can think of these as mental shortcuts that are used to solve problems. Different types of heuristics are used in different types of situations, and the impulse to use a heuristic occurs when one of five conditions is met (Pratkanis, 1989):
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The HoneyComb Paradigm for Research on Collective Human Behavior
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在具有切换拓的冲动多代理系统中进行领导者选择.

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    此摘要是机器生成的。

    在多代理系统 (MAS) 中选择最小的领导者对于性能至关重要. 本研究介绍了一种高效的贪算法,用于在有交换拓的冲动线性MAS中选择领导者,以确保共识跟踪.

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    相关实验视频

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    科学领域:

    • 控制理论 控制理论
    • 多代理系统 多代理系统
    • 网络化系统 网络化系统

    背景情况:

    • 领导者-追随者多代理系统 (MAS) 需要高效的领导者选择,以实现最佳的合作性能.
    • 在具有动态拓的系统中,选择一组最小的领导者对于实现共识跟踪至关重要.

    研究的目的:

    • 为了研究冲动的一般线性MAS与切换拓的最小领导者选择的问题.
    • 制定一个有效的方案来选择最低数量的领导者,以确保共识跟踪的表现.

    主要方法:

    • 使用平均停留时间和时间比限制的明确共识跟踪标准的推导.
    • 应用子模块化优化框架来建立领导者选择指标.
    • 使用一个贪的规则,从而产生了两种多项式时间算法来选择领导者.

    主要成果:

    • 根据已确定的指标,制定一个高效的领导人选择方案.
    • 拟议的算法返回选择的领导集在最佳解决方案的对数边界内.
    • 领导人选择方案的有效性通过一个说明性的例子来验证.

    结论:

    • 该研究提供了一种有效的方法,用于在复杂的多代理系统中选择最小的领导者.
    • 开发的方案平衡了领导人数量与所需的共识跟踪性能.