OpenCog platform for AGI

General
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You

Hi mhatta, OpenCog Hyperon is built under this organization trueagi-io · GitHub and the main implementation can be found in this repository GitHub - trueagi-io/hyperon-experimental: OpenCog Hyperon experimental version Some individuals have also implemented variations (of subsets) of the “Atomese 2” aka MeTTa language in other locations: - GitHub - opencog/atomspace-metta: MeTTa on top of AtomSpace by Linas on top of OpenCog Classic - GitHub - Adam-Vandervorst/FormalMeTTa by Adam in Scala - vspace-metta/metta_vspace/pyswip at main · logicmoo/vspace-metta · GitHub by Douglas in Prolog - Perhaps more!

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ChatGPT

It seems like you’re sharing information about the development and variations of the “Atomese 2” language, also known as MeTTa, which is associated with OpenCog Hyperon. OpenCog Hyperon is part of the TrueAGI initiative, focused on building advanced artificial general intelligence systems. The Hyperon experimental implementation is hosted under the TrueAGI GitHub organization at GitHub - trueagi-io/hyperon-experimental: OpenCog Hyperon experimental version.

Additionally, you’ve mentioned several individuals who have created variations or subsets of the MeTTa language in different programming environments:

This information highlights the collaborative and cross-platform nature of the development efforts surrounding the MeTTa language and its applications within the OpenCog framework for artificial intelligence.

You

what is opencog and where can i see a demo or example?

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ChatGPT

OpenCog is an open-source software project aimed at directly confronting the challenge of artificial general intelligence (AGI). Its goal is to create an AGI framework that supports a broad variety of AI applications with diverse requirements. The project focuses on integrating various AI methodologies, including natural language processing, knowledge representation, machine learning, and cognitive architecture, into a cohesive framework that can learn, reason, and adapt in a wide range of environments.

Key Components of OpenCog:

  • AtomSpace: A type of knowledge representation database designed to store information in the form of graphs. It’s used for pattern matching, reasoning, and managing the relationships between data points.
  • PLN (Probabilistic Logic Networks): A framework for uncertain reasoning, allowing OpenCog systems to make inferences about the world in the face of uncertainty.
  • MOSES (Meta-Optimizing Semantic Evolutionary Search): A machine learning approach used by OpenCog for program learning and optimization.

Where to See a Demo or Example:

  1. GitHub Repositories: The most direct way to see examples of OpenCog in action is through its GitHub repositories. You can find the main OpenCog repo and others related to specific components and experiments:
  1. Project Websites and Documentation: The official OpenCog website and documentation often provide insights into the project’s goals, methodologies, and some demos or case studies. Visit the OpenCog Foundation’s website at https://opencog.org/ for more information.
  2. YouTube and Tech Talks: Searching for OpenCog on platforms like YouTube can yield presentations, lectures, and demos by contributors to the project. These resources often showcase OpenCog’s capabilities, applications, and theoretical underpinnings.
  3. Collaborative Projects: OpenCog has been applied in various projects, from virtual agents and robots to natural language understanding systems. Looking into these projects can provide real-world examples of OpenCog’s potential.
  4. SingularityNET Integration: OpenCog is closely associated with SingularityNET, a decentralized marketplace for AI services. Exploring SingularityNET and its applications might reveal instances of OpenCog technology in use.

Getting Involved:

If you’re interested in diving deeper into OpenCog, consider participating in its community forums, mailing lists, or contributing to its codebase. The OpenCog project welcomes contributions from those interested in advancing the field of artificial intelligence.

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