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We here analyse the question of developing artificial consciousness from an evolutionary perspective, taking the evolution of the human brain and its relation with consciousness as a reference model. This kind of analysis reveals several…

Neurons and Cognition · Quantitative Biology 2024-07-30 Michele Farisco , Kathinka Evers , Jean-Pierre Changeux

We integrate foundational theories of meaning with a mathematical formalism of artificial general intelligence (AGI) to offer a comprehensive mechanistic explanation of meaning, communication, and symbol emergence. This synthesis holds…

Artificial Intelligence · Computer Science 2024-04-12 Michael Timothy Bennett

The field of artificial intelligence (AI) represents an enormous endeavour of humankind that is currently transforming our societies down to their very foundations. Its task, building truly intelligent systems, is underpinned by a vast…

Computers and Society · Computer Science 2019-07-25 Alexander Serb , Themistoklis Prodromakis

A long-term goal of Artificial Intelligence is to build a language understanding system that allows a human to collaborate with a physical robot using language that is natural to the human. In this paper we highlight some of the challenges…

Neurons and Cognition · Quantitative Biology 2025-06-24 Peter Lindes , Kaoutar Skiker

The pursuit of artificial general intelligence (AGI) has placed embodied intelligence at the forefront of robotics research. Embodied intelligence focuses on agents capable of perceiving, reasoning, and acting within the physical world.…

A key objective in artificial intelligence (AI) development is to create systems that match or surpass human creativity. Although current AI models perform well across diverse creative tasks, it remains unclear whether these achievements…

Human-Computer Interaction · Computer Science 2025-04-01 Man Zhang , Ying Li , Yang Peng , Yijia Sun , Wenxin Guo , Huiqing Hu , Shi Chen , Qingbai Zhao

A traditional approach to assessing emerging intelligence in the theory of intelligent systems is based on the similarity, "imitation" of human-like actions and behaviors, benchmarking the performance of intelligent systems on the scale of…

Neural and Evolutionary Computing · Computer Science 2025-05-28 Serge Dolgikh

This article discusses some trends and concepts in developing new generation of future Artificial General Intelligence (AGI) systems which relate to complex facets and different types of human intelligence, especially social, emotional,…

Artificial Intelligence · Computer Science 2020-12-14 Andrzej Cichocki , Alexander P. Kuleshov

Building a humanlike integrative artificial cognitive system, that is, an artificial general intelligence (AGI), is the holy grail of the artificial intelligence (AI) field. Furthermore, a computational model that enables an artificial…

The pervasive uncertainty and dynamic nature of real-world environments present significant challenges for the widespread implementation of machine-driven Intelligent Decision-Making (IDM) systems. Consequently, IDM should possess the…

Artificial Intelligence · Computer Science 2023-05-17 Ying Wen , Ziyu Wan , Ming Zhou , Shufang Hou , Zhe Cao , Chenyang Le , Jingxiao Chen , Zheng Tian , Weinan Zhang , Jun Wang

Music is essential in daily life, fulfilling emotional and entertainment needs, and connecting us personally, socially, and culturally. A better understanding of music can enhance our emotions, cognitive skills, and cultural connections.…

Artificial intelligence (AI) research today is largely driven by ever-larger neural network models trained on graphics processing units (GPUs). This paradigm has yielded remarkable progress, but it also risks entrenching a hardware lottery…

Artificial Intelligence · Computer Science 2025-11-17 Bipin Rajendran , Osvaldo Simeone , Bashir M. Al-Hashimi

This article presents an artificial intelligence (AI) architecture intended to simulate the iterative updating of the human working memory system. It features several interconnected neural networks designed to emulate the specialized…

Neurons and Cognition · Quantitative Biology 2026-02-11 Jared Edward Reser

Artificial general intelligence (AGI) refers to research aimed at tackling the full problem of artificial intelligence, that is, create truly intelligent agents. This sets it apart from most AI research which aims at solving relatively…

Artificial Intelligence · Computer Science 2011-09-08 Tom Schaul , Julian Togelius , Jürgen Schmidhuber

Artificial intelligence (AI) is an important technology that supports daily social life and economic activities. It contributes greatly to the sustainable growth of Japan's economy and solves various social problems. In recent years, AI has…

Computer Vision and Pattern Recognition · Computer Science 2017-06-06 Huimin Lu , Yujie Li , Min Chen , Hyoungseop Kim , Seiichi Serikawa

Artificial Intelligence (AI) achieved super-human performance in a broad variety of domains. We say that an AI is made Artificially Stupid on a task when some limitations are deliberately introduced to match a human's ability to do the…

Artificial Intelligence · Computer Science 2018-08-14 Michaël Trazzi , Roman V. Yampolskiy

The Artificial Intelligence field is flooded with optimisation methods. In this paper, we change the focus to developing modelling methods with the aim of getting us closer to Artificial General Intelligence. To do so, we propose a novel…

Artificial Intelligence · Computer Science 2024-10-01 Alfredo Ibias , Guillem Ramirez-Miranda , Enric Guinovart , Eduard Alarcon

Understanding emotions is fundamental to human interaction and experience. Humans easily infer emotions from situations or facial expressions, situations from emotions, and do a variety of other affective cognition. How adept is modern AI…

Computation and Language · Computer Science 2026-02-18 Kanishk Gandhi , Zoe Lynch , Jan-Philipp Fränken , Kayla Patterson , Sharon Wambu , Tobias Gerstenberg , Desmond C. Ong , Noah D. Goodman

The phenomenal advances in large language models (LLMs) and other foundation models over the past few years have been based on optimizing large-scale transformer models on the surprisingly simple objective of minimizing next-token…

Artificial Intelligence · Computer Science 2025-12-30 Rajesh P. N. Rao , Vishwas Sathish , Linxing Preston Jiang , Matthew Bryan , Prashant Rangarajan

This paper proposes a new cognitive model, acting as the main component of an AGI agent. The model is introduced in its mature intelligence state, and as an extension of previous models, DENN, and especially AKREM, by including operational…

Artificial Intelligence · Computer Science 2023-10-25 Shimon Komarovsky