English
Related papers

Related papers: The Nature of Intelligence

200 papers

Creativity is a fundamental pillar of human expression and a driving force behind innovation, yet it now stands at a crossroads. As artificial intelligence advances at an astonishing pace, the question arises: can machines match and…

General Economics · Economics 2024-09-30 Anne-Gaëlle Maltese , Pierre Pelletier , Rémy Guichardaz

The pursuit of creating artificial intelligence (AI) mirrors our longstanding fascination with understanding our own intelligence. From the myths of Talos to Aristotelian logic and Heron's inventions, we have sought to replicate the marvels…

Neurons and Cognition · Quantitative Biology 2024-11-26 Nima Dehghani , Michael Levin

Since the noun phrase `artificial intelligence' (AI) was coined, it has been debated whether humans are able to create intelligence using technology. We shed new light on this question from the point of view of themodynamics and…

Artificial Intelligence · Computer Science 2021-11-16 Jobst Landgrebe , Barry Smith

Artificial Intelligence (AI) can transform the knowledge economy by automating non-codifiable work. To analyze this transformation, we incorporate AI into an economy where humans form hierarchical organizations: Less knowledgeable…

Theoretical Economics · Economics 2025-08-08 Enrique Ide , Eduard Talamas

Artificial Intelligence began as a field probing some of the most fundamental questions of science - the nature of intelligence and the design of intelligent artifacts. But it has grown into a discipline that is deeply entwined with…

Computers and Society · Computer Science 2013-07-29 Piyush Ahuja

To explain consciousness as a physical process we must acknowledge the role of energy in the brain. Energetic activity is fundamental to all physical processes and causally drives biological behaviour. Recent neuroscientific evidence can be…

Neurons and Cognition · Quantitative Biology 2018-10-15 Robert Pepperell

We propose that symbols are first and foremost external communication tools used between intelligent agents that allow knowledge to be transferred in a more efficient and effective manner than having to experience the world directly. But,…

Artificial Intelligence · Computer Science 2023-04-27 Daniel L. Silver , Tom M. Mitchell

In this paper we consider the nature of the machine intelligences we have created in the context of our human intelligence. We suggest that the fundamental difference between human and machine intelligence comes down to \emph{embodiment…

Artificial Intelligence · Computer Science 2017-05-24 Neil D. Lawrence

Machine learning is the dominant approach to artificial intelligence, through which computers learn from data and experience. In the framework of supervised learning, a necessity for a computer to learn from data accurately and efficiently…

Machine Learning · Statistics 2023-01-25 Amir R. Asadi

Modern AI image classifiers have made impressive advances in recent years, but their performance often appears strange or violates expectations of users. This suggests humans engage in cognitive anthropomorphism: expecting AI to have the…

Artificial Intelligence · Computer Science 2020-02-11 Shane T. Mueller

What is the nature of curiosity? Is there any scientific way to understand the origin of this mysterious force that drives the behavior of even the stupidest naturally intelligent systems and is completely absent in their smartest…

Artificial Intelligence · Computer Science 2016-06-28 Alex Ushveridze

Artificial intelligence (AI) has made significant strides in recent years, yet it continues to struggle with a fundamental aspect of cognition present in all animals: common sense. Current AI systems, including those designed for complex…

Artificial Intelligence · Computer Science 2025-01-14 Hugo Latapie

What is intelligence? We argue for a structural-dynamical account rooted in a topological closure law: \emph{the boundary of a boundary vanishes} ($\partial^2=0$). This principle forces transient fragments to cancel while closed cycles…

Machine Learning · Computer Science 2025-10-07 Xin Li

Generative artificial intelligence revolutionized society. Current models are trained by minimizing the distance between the produced data and the training set. Consequently, development is plateauing as they are intrinsically data-hungry…

Machine Learning · Computer Science 2025-06-09 Mattia Miotto , Lorenzo Monacelli

This article questions the widespread assumption that there are brain representations that will always remain unconscious in the sense of being inaccessible to individual awareness under any circumstances. This implies that some part of the…

Neurons and Cognition · Quantitative Biology 2022-02-23 Birgitta Dresp-Langley

Cognition is the process of knowing. As carried out by a dynamical system, it is the process by which the system absorbs information into its state. A complex network of agents cognizes knowledge about its environment, internal dynamics and…

Multiagent Systems · Computer Science 2022-07-13 Jack Hall

Artificial Intelligence (AI) is a discipline of computer science that deals with machine intelligence. It is essential to bring AI into the context of learning because it helps in analysing the enormous amounts of data that is collected…

Artificial Intelligence · Computer Science 2021-01-11 Faisal Khan , Debdeep Bose

Can artificial intelligence unlock the secrets of the human brain? How do the inner mechanisms of deep learning models relate to our neural circuits? Is it possible to enhance AI by tapping into the power of brain recordings? These…

Neurons and Cognition · Quantitative Biology 2024-12-31 Subba Reddy Oota , Zijiao Chen , Manish Gupta , Raju S. Bapi , Gael Jobard , Frederic Alexandre , Xavier Hinaut

This is a skeptical overview of the literature on AI consciousness. We will soon create AI systems that are conscious according to some influential, mainstream theories of consciousness but are not conscious according to other influential,…

Artificial Intelligence · Computer Science 2026-04-01 Eric Schwitzgebel

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