Artificial general intelligence (AGI) is AI that can reason across a wide range of domains. It
has long been considered the “grand dream” or “holy grail” of AI. It also poses major issues …

This book is designed to become a foundational text for the new science of AI safety
engineering. While specific predictions regarding the consequences of an intelligence …

Several recent advances in AI systems (eg, Tree-of-Thoughts and Program-Aided Language
Models) solve problems by providing a" scaffolding" program that structures multiple calls to …

An important feature of human learning is the ability to continuously accept new information
and unify it with existing knowledge, a process that proceeds largely automatically and …

The rapid advancement of large language models (LLMs) has significantly enhanced the
capabilities of AI-driven agents across various tasks. However, existing agentic systems …

The knowledge that a natural learner creates of any new situation will initially not only be
partial but very likely be partially incorrect. To improve incomplete and incorrect knowl-edge …

Manufacturers migrate their processes to Industry 4.0, which includes new technologies for
improving productivity and efficiency of operations. One of the issues is capturing …

A cognitive architecture aimed at cumulative learning must provide the necessary
information and control structures to allow agents to learn incrementally and autonomously …

There is a significant lack of unified approaches to building generally intelligent machines.
The majority of current artificial intelligence research operates within a very narrow field of …

Software capable of improving itself has been a dream of computer scientists since the
inception of the field. In this work we provide definitions for Recursively Self-Improving …