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Cognitive-behavioral therapies (CBTs) are grounded in the belief that our thoughts profoundly influence our emotions and actions. Advocates of CBT emphasize three core assumptions: first, that cognitions are identifiable and measurable; second, that they are central to psychological functioning; and third, that irrational or maladaptive beliefs can be replaced with rational and adaptive ones. This transformative approach to therapy has paved the way for specific models such as Albert...
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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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The transfer function is a fundamental concept representing the ratio of two polynomials. The numerator and denominator encapsulate the system's dynamics. The zeros and poles of this transfer function are critical in determining the system's behavior and stability.
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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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In order to make good decisions, we use our knowledge and our reasoning. Often, this knowledge and reasoning is sound and solid. However, sometimes, we are swayed by biases or by others manipulating a situation. For example, let’s say you and three friends wanted to rent a house and had a combined target budget of $1,600. The realtor shows you only very run-down houses for $1,600 and then shows you a very nice house for $2,000. Might you ask each person to pay more in rent to get the...
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有限的理性决策网络与信念传播

Gerrit Schmid1, Sebastian Gottwald2, Daniel A Braun3

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概括
此摘要是机器生成的。

像大脑这样的复杂系统使用专门单位之间的局部通信. 这项研究表明,循环信息流和反循环可以改善有限理性网络中的决策性能.

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科学领域:

  • 计算神经科学是一种计算神经科学.
  • 网络科学 网络科学
  • 决策理论 决策理论

背景情况:

  • 复杂的信息处理系统,类似于人类大脑,具有专门的,协作单位.
  • 局部性,即在没有中央控制器的情况下在本地交换信息,是这些网络的关键特性.

研究的目的:

  • 通过决策理论方法研究有界的理性决策者的网络.
  • 探索循环信息处理路径和局部通信对系统性能的影响.

主要方法:

  • 调整消息传递算法以促进本地信息流.
  • 分析具有专业单位和循环通讯路径的网络.
  • 检查具有有限理性的决策代理人.

主要成果:

  • 循环信息处理和局部通信使循环依赖结构成为可能.
  • 重复的通信可以提高有限的单元处理能力的系统的性能.
  • 低于最佳的效用源于连接和反循环不足或过度的系统.

结论:

  • 有界的理性代理网络从专业单位和局部循环通信中受益.
  • 连接和反的程度对于优化复杂决策系统中的实用性至关重要.
  • 消息传递算法可以适应用于通过反研究网络,从而推进对新兴智能的理解.