Difference between revisions of "Neuroscience Strengths and Limitations"

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Return to [[Neuroscience]]
 
Return to [[Neuroscience]]
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''Memory'' <br>
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* '''Working Memory''' - (e.g., expert-based custom models - like doctors & lawyers)
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* '''Memory Representations''' - Symbols, Models, Complex System Models
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* '''Shot-Term Memory'''
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* '''Long Term Memory''' - recall, cluttered memory representations
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* '''Executive Organization''' - new knowledge, updates (i.e., no scaffolding or framework makes it hard to place, thus store)
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''Models & Modeling'' - including time-based (stories & parables) and environment<br>
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* '''Rules & Simple Models''' - massive quantity (hard to remember), recall, prepopulate with (RPA & ML)
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* '''Modeling Abstraction'''
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* '''Encoding Mental Models''' - including simple explanations of complexity, limits based on Knowledge (i.e., a doctor versus a patient)
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* '''Imagination''' - complex system models to determine strategy
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''Prospection'' <br>
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* '''Surmise''' - including regression
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* '''Risk and Reward Assessment'''
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* ''Prediction'' - inside/outside data - Tetlock
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''Attention'' <br>
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* Focal point idea (brain focuses on emotion and misses landscape)
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''Creativity''
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* Novel stories, models, connections, theories (i.e., conspiracy theories) <br>
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''Associations''
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* Connections - impacting elements, influences, etc.
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* Clustering
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* Classifications
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''Executive Decision Making''
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* Control
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ML <br>
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* Regression
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* Association
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* Classification
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* Clustering
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* Control

Latest revision as of 09:38, 27 February 2022

Return to Neuroscience

Memory

  • Working Memory - (e.g., expert-based custom models - like doctors & lawyers)
  • Memory Representations - Symbols, Models, Complex System Models
  • Shot-Term Memory
  • Long Term Memory - recall, cluttered memory representations
  • Executive Organization - new knowledge, updates (i.e., no scaffolding or framework makes it hard to place, thus store)

Models & Modeling - including time-based (stories & parables) and environment

  • Rules & Simple Models - massive quantity (hard to remember), recall, prepopulate with (RPA & ML)
  • Modeling Abstraction
  • Encoding Mental Models - including simple explanations of complexity, limits based on Knowledge (i.e., a doctor versus a patient)
  • Imagination - complex system models to determine strategy

Prospection

  • Surmise - including regression
  • Risk and Reward Assessment
  • Prediction - inside/outside data - Tetlock

Attention

  • Focal point idea (brain focuses on emotion and misses landscape)

Creativity

  • Novel stories, models, connections, theories (i.e., conspiracy theories)

Associations

  • Connections - impacting elements, influences, etc.
  • Clustering
  • Classifications

Executive Decision Making

  • Control

ML

  • Regression
  • Association
  • Classification
  • Clustering
  • Control