In this paper we present a broad overview of the last 40 years of research on cognitive
architectures. To date, the number of existing architectures has reached several hundred …

Artificial Intelligence (AI) is known to be a driving force behind the Industry 4.0. Nowadays
the current hype on development and industrial adoption of the AI systems is mostly …

A pragmatic design for a general purpose reasoner incorporating the Non-Axiomatic Logic
(NAL) and Non-Axiomatic Reasoning System (NARS) theory. The architecture and …

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 …

Using a visual scene object tracker and a Non-Axiomatic Reasoning System we
demonstrate how to predict and detect various anomaly classes. The approach combines an …

In recent years, reinforcement learning (RL) has emerged as a popular approach for solving
sequence-based tasks in machine learning. However, finding suitable alternatives to RL …

A novel method of Goal-directed Procedure Learning is presented that overcomes some of
the drawbacks of the traditional approaches to planning and reinforcement learning. The …

After introductory remarks, we share our two-part theoretical position, viz. that:(P1) The best
overarching approach to suitably defining GI, and obtaining AGI, is via formal logic, including …

The work of criminal police in contemporary society is characterized by the proliferation of
data and information to be processed, a more significant limitation of access to personal …

Adaptive Logic and Neural network (ALANN): A neuro-symbolic approach to, event driven,
attentional control of a NARS system. A spiking neural network (SNN) model is used as the …