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 focus, frequently without considering the importance of the 'big picture'. In this document, we seek to describe and unify principles that guide the basis of our development of general artificial intelligenc...

Since decades Artificial Intelligence is striving for an understanding and the production of general intelligence. In an attempt to put the relevant issues into a wider frame, the question shall be asked whether something could be learned from agents or situations characterized by an obvious lack of intelligence, i.e. “stupidity”. The Ouroboros Model is a novel proposal for a biologically inspi...

Multigame playing agents are programs capable of autonomously learning to play new, previously unknown games. In this paper, we concentrate on the General Game Playing Competition which defines a universal game description language and acts as a framework for comparison of various approaches to the problem. Although so far the most successful GGP agents have relied on classic Artificial Intelli...

This chapter provides an overview of collaborative decision making between human and artificial beings. The chapter presents concepts, examples and scenarios that can assist in designing collaborative systems mixing humans and artificial beings as fully equal partners (FEPs). Human and artificial beings are demonstrated performing tasks cooperatively with each other, while being fully replaceab...

The construction of an artificial scientist, a machine that discovers and describes the general rules governing a variety of complex environments, can be considered an important challenge for artificial general intelligence. Recently, a computational framework for scientific investigation has been postulated in the theory of compression-driven progress. Here, I propose an implementation of an a...

BACKGROUND Particularly, this concept has used for examination of its empact on health of various people groups. Given the importance of students' health, this study investigated the relationship between emotional intelligence and general health. OBJECTIVES The concept of emotional intelligence has attracted growing interest from researchers working in various fields. This study investigated ...

The rapid advancement of machine learning techniques has re-energized research into general artificial intelligence. While the idea of domain-agnostic meta-learning is appealing, this emerging field must come to terms with its relationship to human cognition and the statistics and structure of the tasks humans perform. The position of this article is that only by aligning our agents’ abilities ...

The General AI Challenge is an initiative to encourage the wider artificial intelligence community to focus on important problems in building intelligent machines with more general scope than is currently possible. The challenge comprises of multiple rounds, with the first round focusing on gradual learning, i.e. the ability to re-use already learned knowledge for efficiently learning to solve ...

Verification and validation of agentic behavior have been suggested as important research priorities in efforts to reduce risks associated with the creation of general artificial intelligence (Russell et al 2015). In this paper we question the appropriateness of using language of certainty with respect to efforts to manage that risk. We begin by establishing a very general formalism to characte...