OpenCog is a unique and ambitious open source software project Lead by the great Dr goertzel Sponsored by Google
OpenCog is a unique and ambitious open-source software project Lead by the great Dr goertzel Sponsored by Google
The great plan is to create an open source framework for Artificial General Intelligence, intended to one day express general intelligence at the human level and beyond.
No challenge today is more important than creating beneficial artificial general intelligence (AGI), with broad capabilities at the human level and ultimately beyond. OpenCog is an open-source software initiative aimed at directly confronting that challenge.
The vision underlying OpenCog is both simple and ambitious. the main Goal are to create a thinking machine with human level intelligence and ultimately beyond.
And to do this in the open source domain, so that everyone on the planet (and ultimately off the planet) can participate and share.Unlike most current AI projects, The openCog team not centrally concerned with building more accurate classification algorithms, or more efficient computer vision systems, or better language processing or information retrieval algorithms, etc.
Neither OpenCog are centrally concerned with building a program that performs only one specific task like play chess, diagnose diseases, answer trivia questions, or drive a car.
OpenCog are concerned with generic intelligence and the inter-related cognitive processes it entails.
OpenCog are concerned with making software that carries out specific tasks, using structures and processes that appear capable of being extended to more and more general tasks.
OpenCog consists of a number of software projects. The core functionality is in a mostly C++ codebase hosted on Launchpad. This consists of a number of modules that work within the AtomSpace framework:
AtomSpace – an in-memory hypergraph store. Atoms, which can either be nodes or links, can be of a number of types and have a truth value associated with them.
PLN – Probabilistic Logic Networks. An logic system for uncertain inference.
MOSES – Meta-Optimizing Semantic Evolutionary Search. Program evolution based on representation-building and probabilistic modeling.
Embodiment – Modules to allow OpenCog to reason about being embodied within an avatar, be it a Nao robot or a game character inside a virtual world.
There are also a number of affiliated projects that are in separate repositories. These are often quite functional when used outside of the core framework.
RelEx and Linkgrammar – Extract grammatical parses and semantic knowledge from natural language (in English).
NLGen and NLGen2 – Do the inverse of RelEx. Convert semantic relationships to natural language.
OpenCogPrime is a specific AGI design being constructed within the OpenCog framework.It comes with a fairly detailed, comprehensive design covering all aspects of intelligence.
The hypothesis is that if this design is fully implemented and tested on a reasonably-sized distributed network, the result will be an AGI system with general intelligence at the human level and ultimately beyond.
THE OPENCOG PROJECT
The OpenCog Project WIKI
OpenCog Github Repo
OpenCog ISO
Dr goertzel Team |
The vision underlying OpenCog is both simple and ambitious. the main Goal are to create a thinking machine with human level intelligence and ultimately beyond.
"We're undertaking a serious effort to build a thinking machine" .
Neither OpenCog are centrally concerned with building a program that performs only one specific task like play chess, diagnose diseases, answer trivia questions, or drive a car.
OpenCog are concerned with generic intelligence and the inter-related cognitive processes it entails.
OpenCog are concerned with making software that carries out specific tasks, using structures and processes that appear capable of being extended to more and more general tasks.
OpenCog consists of a number of software projects. The core functionality is in a mostly C++ codebase hosted on Launchpad. This consists of a number of modules that work within the AtomSpace framework:
AtomSpace – an in-memory hypergraph store. Atoms, which can either be nodes or links, can be of a number of types and have a truth value associated with them.
PLN – Probabilistic Logic Networks. An logic system for uncertain inference.
MOSES – Meta-Optimizing Semantic Evolutionary Search. Program evolution based on representation-building and probabilistic modeling.
Embodiment – Modules to allow OpenCog to reason about being embodied within an avatar, be it a Nao robot or a game character inside a virtual world.
There are also a number of affiliated projects that are in separate repositories. These are often quite functional when used outside of the core framework.
RelEx and Linkgrammar – Extract grammatical parses and semantic knowledge from natural language (in English).
NLGen and NLGen2 – Do the inverse of RelEx. Convert semantic relationships to natural language.
OpenCogPrime is a specific AGI design being constructed within the OpenCog framework.It comes with a fairly detailed, comprehensive design covering all aspects of intelligence.
The hypothesis is that if this design is fully implemented and tested on a reasonably-sized distributed network, the result will be an AGI system with general intelligence at the human level and ultimately beyond.
THE OPENCOG PROJECT
The OpenCog Project WIKI
OpenCog Github Repo
OpenCog ISO
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