Chess Engine Analyzer for Personalized Puzzle Generation
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Solution Overview
Problem
Current computer-driven chess instructional programs, such as Chess Mentor®, do not account for a player's specific strengths and weaknesses, lacking the personalized feedback provided by a live coach, and fail to effectively utilize vast databases of game scores for tailored instructional content.
Innovation Solution
A chess engine analyzer creates a searchable database from past game records, generating instructional puzzles that identify areas for improvement by comparing player moves to computer-generated top-ranked moves and alternative moves, producing an extended comparative game analysis database to create sophisticated, player-specific puzzles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If chess puzzles are authored by a person (Chess Mentor®), then the puzzles can provide instructional content with Hints and Commentary, but the system cannot account for a player's particular strengths and weaknesses to provide personalized instruction
Solution Approach 1:
The system analyzes the player's game record to identify strengths and weaknesses, then uses this feedback to generate personalized puzzles that target specific areas for improvement. The chess engine evaluates the player's moves and creates puzzles based on identified weaknesses, enabling adaptive instruction without requiring manual customization.
Solution Approach 2:
The system automatically generates personalized instructional content by analyzing the player's own game record. The chess engine serves itself by creating puzzles tailored to the player's specific needs without requiring external human intervention for each player, thus achieving personalization at scale.
2Adaptability or versatility
If a chess engine analyzer creates a searchable database from game records, then personalized instructional puzzles can be generated, but this requires extensive processing of game data to identify player characteristics
Solution Approach 1:
The system pre-processes the player's game record to create a searchable database of moves and positions before puzzle generation. This preliminary analysis organizes the data in a way that enables rapid query and puzzle creation, reducing the time required when actual instructional content is needed.
Solution Approach 2:
The system replaces manual analysis of game records with automated chess engine evaluation. The engine efficiently processes game data using computer algorithms instead of human analysis, significantly reducing processing time while maintaining or improving the quality of player assessment.
3Adaptability or versatility
If the chess engine provides standard comparative game analysis, then move scores and top-ranked moves are available, but alternative moves and extended analysis are not provided to create sophisticated puzzles
Solution Approach 1:
The system segments the chess engine's analysis output into multiple components: standard comparative analysis, alternative moves, and extended analysis. Each segment serves a specific purpose in puzzle generation, allowing the system to create diverse and sophisticated puzzles by combining different types of analysis data.
Solution Approach 2:
The extended comparative game analysis database serves multiple functions: it provides standard move evaluation, identifies alternative moves, and supplies data for generating puzzles of varying difficulty and type. This multi-functional database structure enables the system to create sophisticated personalized instruction without requiring separate analysis systems.
Data Source
AI summary
Methods and apparatus, including software, for creating a database of information based on one or more chess game scores, preferably by a chess engine analyzer, from which database instructive puzzles can be constructed for presentation and solution by a player.