OpenCog

This git repository contains the "OpenCog Framework", which has served as a (scientific, technical) laboratory for researching, exploring and learning how to integrate AI algorithms and systems into humanoid robotic systems. Most of the activity within this particular repo has focused on integrating natural language chat, common-sense reasoning, assorted learning algorithms, and motor control of humanoid robots.

A stated goal of the OpenCog project is to develop artificial general intelligence (AGI) systems. This is all and well; however, what can be found here, in this particular repo, is very far from that. The code here really is ... a laboratory for integrating various types of AI systems. As such, it is a compilation of several decades of work by a large and varying collection of students, researchers, professors and software engineers. As a laboratory, it is filled with all sorts of devices in varying states of working order, from well-polished to mostly-broken.

See also:

• ROCCA - Rational OpenCog Controlled Agent. This is a different assemblage of assorted OpenCog components, so that they operate within Minecraft, in the OpenAI Gym. The focus is on learning with the pattern miner, and reasoning with PLN.

Overview

Most of the basic components used in OpenCog are distributed across various git repos, (mostly) grouped under https://github.com/opencog

This git repository contains a crude natural language processing pipeline, several embodied chatbots, and some 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.

Prerequisites

To build and run the system here, the packages listed below are required. Users of Ubuntu may use the dependency installer from the /opencog/octool repository. Docker containers with OpenCog preconfigured can be found in the opencog/docker repo.

cogutil

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.

atomspace

OpenCog Atomspace, a sophisticated (hyper-)graph database. https://github.com/opencog/atomspace It uses exactly the same build procedure as this package. Be sure to sudo make install at the end.

cogserver

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.

attention

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.

URE

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.

pln

OpenCog Probabilistic Logic Networks reasoning system. https://github.com/opencog/pln It uses exactly the same build procedure as this package. Be sure to sudo make install at the end.

spacetime

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.

ros-behavior-scripting

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.

lg-atomese

Natural Language Parser for English, Russian, other languages. Required for natural language generation, and the chatbot. https://github.com/opencog/lg-atomese It uses exactly the same build procedure as this package. Be sure to sudo make install at the end.

Building OpenCog

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.

Unit tests

To build and run the unit tests, from the ./build directory enter (after building opencog as above):

    make test