Metadata-Version: 1.1
Name: sds
Version: 0.1.1
Summary: Stochastic Diffusion Search
Home-page: http://www.aomartin.co.uk/sds-library/
Author: Andrew Owen Martin
Author-email: a.martin@gold.ac.uk
License: UNKNOWN
Description-Content-Type: UNKNOWN
Description: A library which implements the main variants of Stochastic Diffusion
        Search (SDS), and provides a convenient front end.
        
        Stochastic Diffusion Search (SDS) is a generic population-based search
        method. SDS agents perform cheap, partial evaluations of a hypothesis (a
        candidate solution to the search problem). They then share information
        about hypotheses (diffusion of information) through direct one-to-one
        communication. As a result of the diffusion mechanism, high-quality
        solutions can be identified from clusters of agents with the same
        hypothesis.
        
        This is a library used during the writing of my PhD thesis, I will
        publish full documentation and host the code on GitHub once the design
        has settled down and I have submitted my thesis. Until then, feel free
        to email me.
        
        SDS has a Scholarpedia page:
        http://www.scholarpedia.org/article/Stochastic_diffusion_search
        
        A list of papers written on SDS can be found in the Stochastic Diffusion
        Search paper repository, maintained by the author of this module:
        http://www.aomartin.co.uk/sds-repository/publications.html
        
Keywords: swarm,artificial,intelligence,search
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
