PRISM

This is a software package of PRISM version 2.3, a logic-based programming system for statistical modeling, which is built on top of B-Prolog (http://www.probp.com/). Since version 2.0, the source code of the PRISM part is included in the released package. Please use PRISM based on the agreement described in LICENSE and LICENSE.src.

• LICENSE ... license agreement of PRISM
• LICENSE.src ... additional license agreement on the source code of PRISM
• bin/ ... executables
• doc/ ... documents
• src/ ... source code
• exs/ ... example programs

For the files under each directory, please read the README file in the directory. For the papers or additional information on PRISM, please visit http://rjida.meijo-u.ac.jp/prism/ .

Installation

1. Download pre-build package from release page:

If you want to install the latest development version package pre-built with the latest version of ubuntu (the latest version from github is automatically built), you can install it with the following command.

wget "https://github.com/prismplp/prism/releases/download/v2.4.2a(T-PRISM)-prerelease/prism_linux_dev.auto.tar.gz"

2. Extract binaries and sample programs.

If you downloaded a different release version, please change the file name and unzip it in the same way.

tar xvf prism_linux_dev.auto.tar.gz

3. Setting the proper environmental variable:

export PATH=<current directory>/prism/bin:${PATH}

4. Try!

$ prism

Press Ctrl+D to quit the interactive mode.

PyPRISM: Python interface

PyPRISM is a Python interface to PRISM.

Please see: https://github.com/prismplp/pyprism

T-PRISM: Tensorized-PRISM (Pre-release)

T-PRISM is a new logic programming language based on tensor embeddings. Our embedding scheme, named tensorized semantics, is a modification of the distribution semantics in PRISM, one of the state-of-the-art probabilistic logic programming languages, by replacing distribution functions with multidimensional arrays.

Tutorial: https://colab.research.google.com/drive/16yzyaglTq0nTvgzZS_nJHEPleddYgxfB?usp=sharing

API Documents: https://prismplp.github.io/prism/tprism/tprism.html

@article{kojima2019tensorized,
  title={A tensorized logic programming language for large-scale data},
  author={Kojima, Ryosuke and Sato, Taisuke},
  journal={arXiv preprint arXiv:1901.08548},
  year={2019}
}

Installation

Requirements: PRISM, python(Recommendation: Anaconda) and Pytorch.

• Anaconda: https://www.anaconda.com/
• Pytorch: https://pytorch.org/

Please Install T-PRISM by the following command:

pip install "git+https://github.com/prismplp/prism.git#egg=t-prism&subdirectory=bin"

Please see the details in T-PRISM manual.