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Related Concept Videos

Decision Making01:20

Decision Making

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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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Decision Making: P-value Method01:09

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The process of hypothesis testing based on the P-value method includes calculating the P- value using the sample data and interpreting it.
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Tomography refers to imaging by sections. Computed tomography (CT) is a non-invasive imaging technique that uses computers to analyze several cross-sectional X-rays to reveal minute details about structures in the body.
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Decision Making: Traditional Method01:14

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The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
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Design Example: Traverse Angle Computations01:25

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Traverse angle computations are a critical component of surveying, used to compute the internal angles within a closed traverse. A traverse consists of a series of connected lines forming a closed loop, often used for land boundary delineation or mapping. Calculating the internal angles ensures accuracy in the traverse geometry and is essential for checking survey data integrity.The process begins with known azimuths and bearings of the traverse sides. Internal angles at each vertex are...
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Area Computation by the Alternative Coordinate Method01:24

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The alternative coordinate method, also known as the Shoelace Formula, is a technique for determining the area of a traverse using Cartesian coordinates. This method relies on the sequential arrangement of x and y coordinates for each point of the shape, ensuring accuracy and ease of application.In this approach, each corner's x and y coordinates are listed as fractions, with the x-coordinate as the numerator and the y-coordinate as the denominator. These coordinates are arranged sequentially...
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A unifying computational model of decision making.

Alexandra Kirsch1

  • 1, Stuttgart, Germany. ak@alexkirsch.de.

Cognitive Processing
|February 1, 2019
PubMed
Summary

This study presents a novel decision-making model integrating psychological and artificial intelligence approaches. It offers a computational framework for understanding and simulating heuristic decision-making processes.

Area of Science:

  • Cognitive Psychology
  • Artificial Intelligence
  • Computational Social Choice

Background:

  • Decision-making is a key area in psychology and artificial intelligence.
  • Existing research includes descriptive models of heuristic decision-making and studies on decision parameters.

Purpose of the Study:

  • To introduce a formal model integrating various descriptive decision-making models.
  • To provide a unified framework for psychological models and an algorithm for computational decision-making.

Main Methods:

  • Formalizing and integrating existing descriptive decision-making models.
  • Instantiating the model using methods from computational social choice for aggregating cue values.
  • Presenting a case study in computational problem-solving for artificial intelligence applications.
Keywords:
Computational social choiceDecision makingHeuristics

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Main Results:

  • The proposed model serves as a unified framework for psychological research.
  • The model functions as an effective algorithm for computational decision-making.
  • Demonstrated applicability in a computational problem-solving case study.

Conclusions:

  • The integrated model advances the understanding of decision-making across disciplines.
  • Offers a versatile tool for both theoretical psychological modeling and practical AI applications.