We present the first class of mathematically rigorous, general, fully self-referential, self-improving, optimally efficient problem solvers. Inspired by Kurt Gödel's celebrated self-referential formulas

neuroscientific principle of spreading activation -- the idea that ideas arise in the brain-mind as spikes of excitation flit from concept to concept across associative tags that connect momentary sensory memories with slowly emerging concepts.

Unfortunately, these two insights - Bayesian probability and Pearlian causality - are far from sufficient to solve general AI problems.

AN approaches are Biologically Plausible; that they rather elegantly sidestep many problems and limitations of Logic-based AI approaches; and that they are likely to be implementable in current or near-future generations of computer hardware.

Once we create a self-improving seed, we’ll likely be stuck with it forever, so it’s important that we make the right decisions about how to program it right now.

uses a carefully designed explanatory order which both the answers and the reference lists ignore.

The following list is a partial education plan for students interested in the research of Artificial General Intelligence. It includes materials for roughly 30 one-semester courses.

A system has complexity if it has some regularities in its overall behavior that are governed by mechanisms that are so tangled that must assume that we will never be able to find a closed-form explanation of how the global arises from the local.

f we conceive wisdom as contextual intelligence powered by rich analysis of episodic memory, then it is clear that wisdom is a key aspect of general intelligence -- and is precisely the aspect that the AI research field has most abjectly ignored to date.

Continuation of Pei Wang's NARS project - ability to learn from its experience and to work with insufficient knowledge and resources. NARS attempts to uniformly explain and reproduce many cognitive facilities, including reasoning, learning, planning, etc,

The Open Cognition Framework (OpenCog) is software for the collaborative development of safe and beneficial Artificial General Intelligence - in-memory KR database; LISP-like; plug-in architecture for cognitive algorithms/process scheduler

2007 Singularity Summit - Rodney Brooks (MIT roboticist), Peter Voss (Adaptive AI), Steve Omohundro (Self-Aware Systems), Barney Pell (Powerset), Peter Norvig (Google research). AI developing - when AGI might emerge - how worried should we be

formed in December 2001 to develop and commercialize the world's first general intelligence software engine. Our AGI engine is based on a specific theoretical model of high-level intelligence developed over the past decade.