Dr. Joel Pitt – Attractor Neural Nets and Economic Attention Allocation
Dr. Ben Goertzel – Natural Language Generation: the NLGen Framework
Dr. Ben Goertzel – Natural Language Processing for AGI: the RelEx Framework
HyunRyong Jung – RIDE: A Simulator for Robotic Intelligence Development
Dr. Joscha Bach – Understanding Motivation, Emotion and Mental Representation
Dr. Ben Goertzel – Extending and Customizing Virtual Worlds for AGI
Dr. Hugo de Garis – Humanoid Robotics for AGI: the Nao Platform
Dr. Joscha Bach – Understanding Motivation, Emotion and Mental Representation
Dr. Joel Pitt with Dr. Ben Goertzel – OpenCog Software Framework
OpenCog aims to provide research scientists and software developers with a common platform to build and share artificial intelligence programs. The long-term goal of OpenCog is acceleration of the development of beneficial AGI, a goal which includes developing tools and protocols for AGI safety. This lecture will describe the OpenCog software framework from a theoretical perspective, and also provide hands-on guidance to working with the code.
Readings
* Hart, David and Ben Goertzel (2008). OpenCog: A Software Framework for Integrative AGI, Proceedings of the First Conference on AGI
* OpenCog wiki site, http://opencog.org (obviously students need not read the whole wiki)
Dr. Matthew Ikle – Managing Uncertainty with Indefinite Probabilities
Dr. Pei Wang – A Logical Model of Intelligence 3 of 3
NARS (Non-Axiomatic Reasoning System) is designed to serve as the core of general-purpose intelligent systems. It is built according to the belief that “intelligence” is the capability for a system to adapt to its environment while working with insufficient knowledge and resources. This four-day talk will introduce the major components of NARS, and discuss their properties.
Readings
* Toward a Unified Artificial Intelligence, http://nars.wang.googlepages.com/wang.unifiedAI.pdf
* From NARS to a Thinking Machine, http://nars.wang.googlepages.com/wang.roadmap.pdf
Dr. Joel Pitt with Dr. Ben Goertzel – OpenCog Software Framework 1 of 2
OpenCog aims to provide research scientists and software developers with a common platform to build and share artificial intelligence programs. The long-term goal of OpenCog is acceleration of the development of beneficial AGI, a goal which includes developing tools and protocols for AGI safety. This lecture will describe the OpenCog software framework from a theoretical perspective, and also provide hands-on guidance to working with the code.
Readings
* Hart, David and Ben Goertzel (2008). OpenCog: A Software Framework for Integrative AGI, Proceedings of the First Conference on AGI
* OpenCog wiki site, http://opencog.org (obviously students need not read the whole wiki)