How I Mastered Chess Using AI & Cognitive Science

Table of Contents Chapter 1: Introduction Chapter 2: Creating Your Chess Training Program The Shark Think Tank The SPAR Training Method Chapter 3: Strategy General Principles Opening Choosing an Opening Repertoire Middle Game The Great Space Race Attacking Defense & Prophylaxis Endgame Chapter 4: Tactics Developing Your Tactical Radar Tactical Motifs Tactical Weaknesses Calculating Tactics Common Tactical Calculation Errors When Things Go Sideways Chapter 5: Move Selection Algorithms Kotov’s Algorithm The OODA Chess Algorithm Chapter 6: Evaluation Positional Factors Imbalances Chapter 7: Calculation

The LOVE Algorithm Calculation Tips Chapter 8: Visualization Visualization Training Static Visualization Dynamic Visualization Partial Blindfold Chess Blindfold Chess Chapter 9: Blunder Prevention Why We Blunder: Situational Chess Blindness Board Awareness Beyond the Board Awareness Missed Opportunities Drawbacks SWOT Analysis Blunder Busters The 3 Ply Rule Blumenfeld’s Rule Flip the Board SLAM Blunder Checklists Legendary Blunders by Legendary Players Chapter 10: Practice Puzzles Games Playing to Lose Miscellaneous Methods Chapter 11: Analyze Analyzing GM Games

Analyzing Your Own Games Using an Analysis Engine Using an AI Chatbot Chapter 12: Reflect Why am I reflecting? Who should I reflect with? Where should I reflect? What should I reflect on? When should I reflect? How should I reflect? Chapter 13: Epilogue The SPAR System The Shark Factor My Top 10 Chess Improvers Appendix 1: Chess Aphorisms Appendix 2: Chess Rating Tiers Appendix 3: Chess Online Resources AI Coaching Appendix 4: The Top 25 Books For Adult Chess Improvers