OpenCog is a framework for developing AI systems, especially appropriate for integrative multi-algorithm systems, and artificial general intelligence systems. Though much work remains to be done, it currently contains a functional core framework, and a number of cognitive agents at varying levels of completion, some already displaying interesting and useful functionalities alone and in combination.
The main project site is at https://opencog.org
OpenCog consists of multiple components. These can be found in assorted git repos under https://github.com/opencog
This git repository contains an assortment of natural language tools, embodied chatbots, and control/action-selection mechanisms. These include:
-
Ghost, a Chatscript-compatible chatbot with additional capabilities for accepting visual sensory input, and for controlling robot movements.
-
OpenPsi, a model of psychological states. Its currently a mashup of two unrelated ideas: a generic rule-class action-selection and planning system, and a model of human psychological states. An open to-do item is to untangle these two.
-
An assortment of natural language processing subsystems, including:
- Natural language generation (for expressing thoughts as sentences).
- Natural language input (for reading and hearing).
- Relex2logic, converting natural language to logic expressions.
- Assorted chatbots, some of which are embodied.
- A lojban tool.
To build and run OpenCog, the packages listed below are required.
With a few exceptions, most Linux distributions will provide these
packages. Users of Ubuntu may use the dependency installer from the
/opencog/octool
repository. Users of any version of Linux may
use the Dockerfile to quickly build a container in which OpenCog will
be built and run.
Common OpenCog C++ utilities https://github.com/opencog/cogutil It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog Atomspace database and reasoning engine https://github.com/opencog/atomspace It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog CogServer Network Server. https://github.com/opencog/cogserver It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog Attention Allocation subsystem. https://github.com/opencog/attention It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog Unified Rule Engine https://github.com/opencog/ure Required for PLN It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog Probabilistic Logic Networks https://github.com/opencog/pln It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
OpenCog Spacetime Server - locations of objects in space and time. https://github.com/opencog/spacetime It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
Visual and auditory senses, robot motor control https://github.com/opencog/ros-behavior-scripting It uses exactly the same build procedure as this package. Be sure to
sudo make install
at the end.
Natural Language Parser for English, Russian, other languages. Required for natural language generation, and the chatbot. https://www.abisource.com/projects/link-grammar/
Perform the following steps at the shell prompt:
cd to project root dir
mkdir build
cd build
cmake ..
make
Libraries will be built into subdirectories within build, mirroring the structure of the source directory root.
To build and run the unit tests, from the ./build
directory enter
(after building opencog as above):
make test