93 lines
2.3 KiB
Plaintext
93 lines
2.3 KiB
Plaintext
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New in 3.8 (since 3.6)
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- many small improvements and tuning since 3.6
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- experimental Monte Carlo mode (9x9 only)
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- support for tiny boards
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- GPL v3
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New in 3.6 (since 3.4)
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- stronger than 3.4
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- many small improvements
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- GNU Go can now resign games
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- emacs mode can display the board graphically using xpms
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- basic knowledge of how to break out of mirror go
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New in 3.4 (since 3.2)
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- stronger than 3.2
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- new connection and semeai modules use lookahead
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- new break-in code
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- improvements to many parts of the program
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New in 3.2 (since 3.0)
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- stronger than 3.0
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- uses less RAM than 3.0
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- 1-dimensional board
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- experimental dynamic connection analysis
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- experimental reading semeai module
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- new influence function
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- stronger and more agressive
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- reads to find combinations
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- revised Zobrist hashing
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- new html views of the regressions, and many more tests
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New in 3.0 (since 2.6)
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- stronger than 2.6
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- new move generation scheme
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- new influence function
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- more accurate reading
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- board information maintained incrementally during reading
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- new "owl" and "life" modules for accurate life and death analysis
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- persistent caching of reading and owl results for speed
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- revised semeai module
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- experimental Deterministic Finite State Automaton (DFA) pattern matcher
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- new debugging tools
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- level option
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New in 2.6 (since 2.4)
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- stronger than 2.4
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- more portable code
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- Texinfo documentation
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- Emacs mode
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New in 2.4 (since 2.0)
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Enhancements for the user:
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- stronger: able to give GNU Go 2.0 a 5 stone handicap
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- life and death evaluation drastically improved
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- more efficient and accurate reading
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- (small) joseki database
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- takes influence and territory into account
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- Ascii interface as an alternative to CGoban
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- uses GNU configure
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- undo supported
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- man page
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Enhancements for the developer:
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- expanded pattern database
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- autohelpers for patterns
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- joseki library in Smart Go Format
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- fuseki module
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- backfilling and numerous other improvements to reading code
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- algorithms for estimating territory and influence
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- eye_finder module uses a static algorithm for life and death
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- eyeshape database
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- connection database
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- reading code uses Zobrist hashing and other speedups
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- greater modularity
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- documentation of key algorithms
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- expanded support for Smart Go Format
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- various debugging tools
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