Ecosystem
asmoses
Ecosystem | asmoses | |
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1 | 3 | |
24 | 37 | |
- | - | |
6.7 | 7.8 | |
9 months ago | 7 months ago | |
C++ | C++ | |
GNU General Public License v3.0 only | GNU General Public License v3.0 or later |
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Ecosystem
asmoses
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Show HN: Codemodder – A new codemod library for Java and Python
Thanks for your reply!
I think they called it an FST "Full Syntax Tree", which is probably very similar to a CST "Concrete Syntax Tree". At the time that moses was written, Python's internal AST hadn't sufficient code to mutate sufficiently for moses' designs.
MOSES: Meta-Optimizing Semantic Evolutionary Search :
https://wiki.opencog.org/w/Meta-Optimizing_Semantic_Evolutio... :
> All program evolution algorithms tend to produce bloated, convoluted, redundant programs ("spaghetti code"). To avoid this, MOSES performs reduction at each stage, to bring the program into normal form. The specific normalization used is based on Holman's "elegant normal form", which mixes alternate layers of linear and non-linear operators. The resulting form is far more compact than, say, for example, boolean disjunctive normal form. Normalization eliminates redundant terms, and tends to make the resulting code both more human-readable, and faster to execute.
> The above two techniques, optimization and normalization, allow MOSES to outperform standard genetic programming systems.
https://github.com/opencog/asmoses
MOSES outputs Combo (a LISP), Python as an output transform IIUC, and now Atomese with asmoses, which links to a demo notebook: https://robert-haas.github.io/mevis-docs/code/examples/moses...
Evolutionary algorithm > Convergence: https://en.wikipedia.org/wiki/Evolutionary_algorithm#Converg...
/? mujoco learning to walk [with evolutionary selection / RL Reinforcement Learning]
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Knowledge Graph Reasoning Based on Attention GCN
https://news.ycombinator.com/item?id=38744177 :
> - Indicate degree of confidence in annotation (note that AGI hypergraph systems have TruthValue and also AttentionValue, like attention networks
From " https://news.ycombinator.com/item?id=23787359 :
> How does this compare to MOSES (OpenCog/asmoses) or PLN? https://github.com/opencog/asmoses https://scholar.google.com/scholar?hl=en&as_sdt=0%2C43&q=%22... (2007)
From https://news.ycombinator.com/item?id=35810320 :
> Is there a better way to publish Linked Data with existing tools like LaTeX, PDF, or Word? Which support CSVW? Which support RDF/RDFa/JSON-LD?
What are some alternatives?
cmkr - Modern build system based on CMake and TOML.
GraphicsPlayground - Sandbox for the graphics engine. Designed for easiest experimentation and demonstration of graphics algorithms.
nexus - A C++ QUIC and HTTP/3 library based on lsquic and boost::asio
bomba - C++ library for convenient implementation of RPC and serialisation
Soup - Soup is a build system that guarantees incremental build correctness and aims to simplify many aspects of developing shared code while maintaining best in class performance.
awssign - C++ library for AWS v4 Signatures
tsmp
beryldb - BerylDB is a fully modular data structure data manager that can be used to store data as key-value entries. The server allows channel subscription and is optimized to be used as a cache repository. Supported structures include lists, sets, multimaps, and keys.
neuro-evolution-simulation - Organisms evolving in a simulated ecosystem - an artificial life simulation.
tomlplusplus - Header-only TOML config file parser and serializer for C++17.