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Pathways to Thinking || How We See, Feel, Figure Things Out || ~xRay Pixy

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By understanding different levels of thinking, we learn how to build knowledge step by step ā€” from remembering facts to creating new ideas.  Video Chapters: Pathways to Thinking 00:00 Introduction 00:51 Cognitive Psychology 03:52 Analytical thinking 04:39 Critical thinking 05:01 Reflective thinking 05:26 Intuitive thinking 06:47 Visible Thinking Routines (Harvard Project Zero) 09:24 Neuroscience, Creativity, Philosophy 09:33 Neural Pathways 10:01 Neuroplasticity 10:29 Webb's Depth of Knowledge (DoK) framework 10:50 Inference 11:10 Minimum Base ā€“ Art for Sorting and Interpretation 11:35 Assumption Analysis
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Brain Storm Optimization Algorithm || Step-By-Step || ~xRay Pixy

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Learn Brainstorm optimization (BSO) algorithm step-by-step using examples.
Video Chapters: BSO Algorithm
00:00 Introduction
02:33 Brainstorming Process
03:10 Example 01: Brainstorming Process in Real-Life
05:25 Brain Strom Optimization
08:39 Example 02
14:09 BSO Steps
17:51 Conclusion

The Brain Storm Optimization (BSO) algorithm is a swarm intelligence method inspired by human brainstorming. It aims to find optimal solutions by combining clustering, exploration, and exploitation techniques.

Why is BSO Useful?

  • It balances global search (exploration) and local search (exploitation) efficiently.

  • It avoids getting stuck in local optima by introducing diversity in solution generation.

  • It is adaptable and can be integrated with machine learning techniques like clustering.

Key Concepts:

  • Solution Clustering: Solutions are grouped into clusters to refine the search space.

  • Exploration (Divergent Thinking): New solutions are generated far from existing clusters to discover new possibilities.

  • Exploitation (Convergent Thinking): Refining solutions near the best-known solutions to improve precision.

  • Selection: The best solutions are kept for the next iteration, ensuring continuous improvement.

Applications:

  • Optimization Problems (Engineering, Logistics, Scheduling)

  • Machine Learning & Data Mining (Pattern Recognition, Feature Selection)

  • Swarm Intelligence Research (Enhancing AI-driven problem-solving)

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PSO Python Code || Particle Swarm Optimization in Python || ~xRay Pixy

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Whale Optimization Algorithm Code Implementation || WOA CODE || ~xRay Pixy

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