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for General Chess-Like Games
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Constructing a Metagame-player

While a main intention of Metagame is to serve as a test-bed for learning and planning systems, a logical first approach to constructing a Metagame-player is to push the limits of what can be done with standard game-tree search and knowledge-engineering. At the very least such an engineered player could serve as a baseline against which to measure the performance of more general systems.

• Search Engine
• Automated Efficiency Optimisation
• Meta-Level Evaluation Function
• Advisors
  • Mobility Advisors
  • Threats and Capturing
  • Goals and Step Functions
  • Material Value
• Static Analysis Tables
• Weights for Advisors